Podcasts about Business intelligence

Is 2026 the year AI finally has to prove it is worth the investment? In this episode, I'm joined by Chris Riche-Webber, VP of Business Intelligence and Analytics at SmartRecruiters, to explore why so many AI and agentic AI initiatives stall after the pilot phase and what separates the projects that scale from the ones that quietly disappear. With Gartner predicting that more than 40 percent of agentic AI programs could be cancelled by 2027, Chris brings a pragmatic, data-led perspective on what is really happening inside organizations as the hype meets operational reality. We talk about the fundamentals that have not changed despite the new technology. Influence, clearly defined problems, measurable impact, and adoption still determine success, yet they are often overlooked in the rush to deploy the latest tools. Chris explains why "good vibes" are no longer enough in front of a CFO, how to baseline outcomes properly, and why ownership of results is one of the most common missing pieces in enterprise AI programs. A big part of the conversation focuses on what Chris calls the "agent washing" problem. Just as products are sometimes marketed with fashionable labels that do not reflect their real value, many solutions are being positioned as agentic without delivering true autonomy or business outcomes. We discuss how leaders can cut through the noise by asking better questions, aligning technology to specific use cases, and recognizing when simple automation is the right answer. Trust, adoption, and measurable ROI emerge as the three signals that determine whether an AI initiative survives. Chris shares a clear framework for defining these signals in a way that is consistent, comparable over time, and meaningful to the executive team. We also explore how connecting talent decisions to revenue, productivity, and retention changes the conversation, especially in the context of SmartRecruiters' broader SAP ecosystem and the opportunity to link people data directly to business performance. This is a conversation about moving from experimentation to accountability, from buying narratives to solving real problems, and from technology-first thinking to outcome-first leadership. So as the window for easy wins closes and the demand for proof of value grows, will your AI strategy be remembered as a pilot that generated excitement or as an initiative that delivered measurable business impact?

Alicia recaps Intuit's February ProAdvisor In the Know webinar, covering a packed slate of product updates across QuickBooks Online, Intuit Enterprise Suite, and the newly renamed Intuit Accountant Suite. Highlights include a new Affirm Buy Now Pay Later option appearing on invoices, major bank feed customization improvements, an AI-powered deduction maximizer for business owners, and new construction-specific tools in IES. Intuit also teased a July launch of AI agents that will handle tasks like invoicing, payment tracking, and book reconciliation — though details remain scarce.SponsorsUNC - https://uqb.promo/uncResources:In the Know Slide Deck: https://staticassets.goldcast.io/public_images/organization/c1847aac-670a-476f-9c63-ad93ce43b7eb/yq4uYaZUSYqvQm6KaCIZ_February2026_ProAdvisor_InTheKnow_Handout.pdfPartner Webinars (Double & Method upcoming): https://eventhub.goldcast.io/?eventHubId=15cc4a3e-96eb-4910-973c-45f143b60e60Canny for product feedback: http://intuit.canny.ioCustomer Hubba-Hubba (our episode about the new Customer Hub): www.uqb.show/107Dan and Alicia deep dive into Intuit Accountant Accelerate and Books Close: www.uqb.show/130Alicia's current classes: Tricky Situations: http://royl.ws/QBOtricks?affiliate=5393907 Next-level Accrual Accounting: http://royl.ws/NextLevelAccounting?affiliate=5393907  10 Best Practices in QBO: http://royl.ws/QBO-Best-Practices?affiliate=5393907  QBO Hacks (Tips & Tricks) http://royl.ws/QBOHacks?affiliate=5393907 We want to hear from you!Send your questions and comments to us at unofficialquickbookspodcast@gmail.com.Join our LinkedIn community at https://www.linkedin.com/groups/14630719/Visit our YouTube Channel at https://www.youtube.com/@UnofficialQuickBooksPodcast?sub_confirmation=1 Sign up to Earmark to earn free CPE for listening to this podcasthttps://www.earmark.app/onboarding  (00:00) - Welcome to The Unofficial QuickBooks Accountants Podcast (03:21) - Upcoming Partner Webinars (Double & Method) + Why They Matter (04:08) - New Invoice Payment Option: Affirm ‘Buy Now, Pay Later' in QuickBooks (07:51) - Product Innovations Kickoff: Intuit Enterprise Suite February Releases Overview (14:29) - Inventory & Order Management Upgrades: Item Receipts, Valuation Methods, Sales Orders (22:02) - Workflow Automation Improvements: Parallel Approvals + Audit Trails + Dimensions (23:32) - Business Intelligence in QBO: Modern Reports + Calculated Fields Without Excel (23:58) - Intuit Intelligence (ChatGPT-Powered): Ask Questions About Your Books + Prompt Limits/Pricing (26:39) - Bank Feeds Updates: New Experience Rollout Timeline & Why to Adopt Early (28:29) - Bank Feed Fix: Warn When Payee Is Blank (1099s & Clean Vendor Lists) (30:05) - Navigate Tons of Accounts Faster: Searchable Bank/Credit Card Dropdown (31:12) - Drag-and-Drop Receipts + Check Image Attachments That Now Carry Through Matches (37:24) - Performance Boosts + Poll Results: Is the New Banking Feed Ready for Prime Time? (39:23) - Business Tax AI: Deduction Maximizer & Where to Find It in QBO (52:43) - What's Next: Intuit Podcasts, Intuit Connect, and July's Mysterious AI Agents (55:17) - Wrap-Up & Training Plug: Tricky Situations, Accrual Accounting, and Upcoming Classes

Henri-François Chadeisson (HF) est expert data depuis 20 ans et aujourd'hui Solution Engineering Director Europe chez Strategy Software (ex-MicroStrategy). Strategy c'est une solution de BI, semantic layer et IA qui est valorisée plus de 50 milliards de dollars et utilisée par des grands groupes comme Société Générale, Monoprix ou Leclerc. Dans cet épisode, on décrypte 3 grandes tendances analytics du moment.On aborde :

Das Burj Khalifa in Dubai: 828 Meter hoch, das höchste Gebäude der Welt. Während alle fasziniert nach oben blicken, übersehen sie das wahre Meisterwerk: 200 Betonsäulen, 70 Meter unter dem Meeresspiegel. Ohne sie? Keine 828 Meter. Bei BI-Projekten ein ähnliches Bild: Alle wollen in die 163. Etage – schicke Dashboards, Self-Service, KI. Aber nur wenige denken ans Fundament. Das Ergebnis: Die Fassade glänzt – aber die Datenstrategie steht auf Sand. Wer direkt mit Dashboards startet, bastelt schnelle Provisorien. Wer mit Datenstrategie, Architektur und Governance beginnt, baut stabil. Fundament vor Fassade.

Taha est Lead Analytics Engineer chez Brevo, la plateforme de marketing automation qui permet notamment d'orchestrer ses campagnes d'emailing ou de SMS. La scaleup a acquis le statut de “centaure” après avoir dépassé les 100 millions d'euros de revenus annuels.Taha va nous parler de son plus gros challenge sur cette dernière année, à savoir la mise en place d'Omni et d'une business intelligence orientée Self-Service.On aborde :

Leadership quality and organisational culture are emerging as nearly equal priorities to compensation when professionals choose and stay with employers, according to the Cpl Salary Guide for Ireland 2026. The findings reveal a fundamental shift in talent priorities, as employees increasingly evaluate opportunities based on values, work environment, and leadership behaviours alongside financial rewards. The key findings from this year's report are as follows: While compensation and benefits remain the top priority at 35%, leadership and culture follow closely at 24% as the most important factor when choosing an employer. When examining both first and second most important factors combined, leadership and culture reaches 54% (24% first choice, 30% second choice), narrowing the gap with compensation and benefits at 62% (35% first choice, 27% second choice). Within the leadership and culture category, employees prioritise culture, values and ethics (27%), work environment (25%), and leadership behaviours (24%). Cpl's findings reinforce that leadership quality remains a critical driver of employee attrition. Flexible Working: The Essential Benefit Flexible working arrangements have evolved from a perk to a critical component of employee packages. After remuneration (32%), flexible working ranks as the second most important compensation and benefit factor at 26%. The research shows that 70% of employees now utilise some form of flexible working, with previous studies indicating that one in four candidates would not proceed with a job opportunity lacking flexibility. The predominant flexibility model is hybrid working (over 54%), typically with a 3/2 or 2/3 home/office split. However, next-generation arrangements are emerging, with 12% working fully remote and over 7% utilising compressed work weeks. Organisations offering structured, design-led flexible working strategies gain a significant competitive advantage, particularly when recruiting for high-skilled roles where talent is scarce. Work-Life Balance Takes Centre Stage Within employee experience priorities, work-life balance dominates at 40%, followed by meaningful and stimulating work at 21%. While not yet surpassing compensation in importance, work-life balance, when considered alongside flexible working, represents a core pillar of any successful talent strategy. AI Transitions from Specialist to Mainstream Capability Cpl's analysis found that, between 2022 and 2024, AI references in job titles and descriptions increased year-on-year, peaking in 2024. However, 2025 saw a correction as organisations moved beyond experimentation toward strategic implementation. AI demand remains concentrated in IT (55% of AI-related hiring), Life Sciences (17%), and Customer Service (13%). Business Intelligence has emerged as a distinct growth category since 2023, signalling a shift toward insight-led decision-making. Regulatory roles now account for 3% of AI positions, reflecting growing governance requirements. Cpl found that AI is becoming embedded within existing roles rather than creating new specialist positions. By 2024-2025, AI-related roles comprised just 3% of all jobs, yet within those roles, under 50% of job titles still referenced AI. References to AI in job descriptions have doubled compared to job titles, indicating that employers increasingly expect baseline AI literacy as a standard competency rather than a differentiator. Limited Company Growth Signals Workforce Evolution Ireland experienced near-record limited company incorporations in 2025, with approximately 25,000 new companies registered (a 5-6% increase on 2024). This growth reflects layoffs and slower permanent hiring for experienced professionals, prompting many to establish their own businesses providing specialist services across technology, life sciences, and financial services. This trend signals a structural shift toward self-employment, fractional leadership, and contingent workforce models, offering organisa...

Artificial Intelligence is improving so fast that it's hard to keep up. AI is not good at doing everything, but one thing that it's really good at doing is coding. People who aren't developers have been creating all sorts of interesting things with AI. Phil is going to show us how he used AI to create his own Business Intelligence tool. #Acumatica #ERP #CloudERP

It's YOUR time to #EdUp with Greg Clayton, President of Enrollment Management Services, & Katie Tomlinson, Senior Director of Analytics & Business Intelligence, EducationDynamicsIn this episode, recorded Live from the 2026 InsightsEDU Conference in Fort Lauderdale, Florida, February 17-19,YOUR host is ⁠⁠Dr. Joe SallustioHow does the Modern Learner Report show 51% of students now use AI to research schools up from 37% last year when the funnel is dead & students orbit multiple institutions simultaneously?Why do 40% of students after inquiry still add more schools & 28% evaluate other schools after enrollment requiring continued marketing even when students are in the seat?What makes discoverability get you seen but alignment get you chosen when career sits at the center of the orbit & admissions counselors need career counselor training not just application processing?Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want to get early, ad-free access & exclusive leadership content to help support the show? Become an #EdUp Premium Member today!

In dieser Episode teilt Peter Bluhm die wichtigsten Erkenntnisse aus vier intensiven Gesprächen mit Entscheidern und Experten: von der AXA Schweiz über einen mittelständischen Maschinenbauer bis hin zu akademischen Spezialisten für Unternehmensplanung und Data Governance. Die 5 zentralen Learnings: Datenstrategie entwickelt sich in Phasen – nicht als Big Bang  Der Pareto-Ansatz bei Datenqualität: 80/20 statt 100% Perfektion Datenqualität ist kontextabhängig – ohne Verwendungszweck keine sinnvolle Messung Erwartungstreue Planwerte statt ambitionierte Wunschszenarien Data Governance – der größte Fehler ist, nichts zu tun  Zentrale Erkenntnisse aus den Gesprächen: Die AXA Schweiz entwickelte ihre Datenstrategie über 10 Jahre – von explorativen Ansätzen mit einem Server unter dem Schreibtisch bis zur Data Mesh-Architektur. Learning by Doing statt Masterplan. Mehrer Compression startete mit 80 Prozent Datenqualität und verbesserte iterativ. Das Ergebnis: Die Liefertreue stieg von 77 Prozent auf über 95 Prozent, ohne jahrelange Datenbereinigung. Erfolgreiche Datenarbeit erfordert keine Perfektion, sondern eine realistische, pragmatische Herangehensweise. Themen:  Business Intelligence | Datenstrategie | Data Governance | Datenqualität | Unternehmensplanung | KI-Projekte | Controlling | Performance Management Die Gesprächspartner:  Dr. Kathrin Braunwarth, Mitglied der Geschäftsleitung, AXA Schweiz  Jens Elfert, Bereichsleiter Finanzen, Mehrer Compression  Prof. Dr. Werner Gleißner, TU Dresden  Dr. Christiana Klingenberg, IDIGMA  Prof. Dr. Christine Weber, TH Würzburg-Schweinfurt 

Kate Scott-Dawkins, Global President of Business Intelligence at WPP Media, joins AdTechGod to share how agencies use economic signals, advertiser trends, and emerging AI shifts to forecast the future of advertising while helping brands stay ahead in a rapidly changing world. Takeaways Kate's early exposure to advertising storytelling sparked her marketing path. A linguistics background trained her to spot patterns and build forecasts. Staying at WPP let her shape long-term strategy and thought leadership. Modern forecasting blends government, financial, and proprietary client signals. Global events, politics, economics, and climate directly move the markets. Industry consolidation is accelerating, concentrating ad revenue among a few sellers. WPP packages insight via forecasts, weekly updates, and rapid client POVs. AI adds speed by summarizing large datasets and supporting analysis workflows. AI is less reliable for producing genuinely original insight on its own. Commerce and creator ecosystems may be disrupted faster than search. Authenticity, disclosure, and watermarking are becoming critical trust issues. Verified human-made content could become a premium tier in the future economy. Career Girls' work focuses on expanding STEAM imagination and opportunity for girls Chapters 00:01 Introduction: Kate Scott-Dawkins joins the podcast and outlines her role at WPP Media. 01:30 Career inspiration: An early advertising example sparked her interest in storytelling. 02:45 Career foundation: How linguistics and international experience shaped her perspective. 03:35 WPP tenure: Why she stayed and how her remit evolved over time. 05:10 Long-range forecasting: Advertising trend planning through 2030 and beyond. 06:20 Data and regulation: How access constraints and policy changes reshaped the industry. 07:30 Intelligence inputs: Blending consumer data, government signals, and client investment insights. 08:10 Global framework: A structured view across politics, economics, society, and technology. 09:20 Market consolidation: Increasing concentration of ad revenue among top sellers. 10:40 Insight delivery: Cadences spanning major forecasts, weekly updates, and rapid client POVs. 12:55 AI applications: Operational support for analysis, synthesis, and speed at scale. 17:05 Early 2026 outlook: Emerging models, including advertising-supported AI consumer services. 26:05 Career Girls: Mission, impact, and Kate's strategic support to expand STEAM opportunity. Learn more about your ad choices. Visit megaphone.fm/adchoices

Der Congress der Controller feiert 2026 sein 50-jähriges Jubiläum – und bleibt dabei hochaktuell. Unter dem Motto „Prepared for Uncertainty" trifft sich am 27. und 28. April 2026 die Controlling-Community in München, um aktuelle Fragen zu diskutieren: Wie setzen wir KI konkret im Controlling um? Wie navigieren wir durch wirtschaftliche Unsicherheiten? Und wie wird Finance zum echten Performance-Treiber?  Der Performance Manager Podcast ist live vor Ort – und vorab spricht Peter Bluhm, Geschäftsführer von ATVISIO Consult mit dem Vorstandsvorsitzenden des Internationalen Controller Vereins (ICV), Matthias von Daacke.  In dieser Episode:  Jubiläums-Highlights: Was macht den 50. Congress der Controller besonders? Von neuer Sitzordnung bis Party-DJ – Innovation trifft Tradition.  3 Themenzentren im Fokus: KI-Umsetzung im Controlling, Krisenfrüherkennung & Unsicherheiten, Finance als Performance-Treiber  Hochkarätige Speaker: CFOs teilen Praxiseinblicke  Awards & Excellence: Albrecht-Deyle-Award für Controlling Excellence und ICV-Péter Horváth Green Controlling Preis  Networking neu gedacht: Wie der ICV Generationen von Controllern zusammenbringt – vom Young Professional bis zum erfahrenen CFO  Praktische Infos: Kosten, Early-Bird-Rabatte, Mitgliedschaftsvorteile und warum sich der Trip nach München lohnt.  Link zur Anmeldung: https://bit.ly/4qsSHjE

A paulistana Erika começou a ter contato com tecnologia e se interessar por desenvolvimento na adolescência, o que a levou a cursar Sistemas de Informação. Ainda na faculdade, ela teve a oportunidade de trabalhar com Business Intelligence e depois já engatou um MBA.Depois que a empresa onde ela trabalhava fechou, ela pegou o dinheiro da rescisão e resolveu colocar em prática um plano que havia sido plantado ainda na graduação: morar fora.A escolha pela Austrália se deu majoritariamente por conta do clima e da familiaridade com o idioma, e se provou bastante acertada. Hoje, além de seguir trabalhando com BI, ela também é uma cidadã da terra dos cangurus.Fabrício Carraro, o seu viajante poliglotaErika Silva, Engenheira de Dados em Sydney, AustráliaLinks:LinkedIn da ErikaCarreiras Alura: Explore as carreiras por meio de um caminho estruturado, com prática, profundidade e orientação para você sair do zero e conquistar domínio real em uma habilidade.TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões.#7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/Ouvintes do podcast Dev Sem Fronteiras têm 10% de desconto em todos os planos da Alura Língua. Basta ir a https://www.aluralingua.com.br/promocao/devsemfronteiras/e começar a aprender inglês e espanhol hoje mesmo! Produção e conteúdo:Alura Língua Cursos online de Idiomas – https://www.aluralingua.com.br/Alura Cursos online de Tecnologia – https://www.alura.com.br/Edição e sonorização: Rede Gigahertz de Podcasts

Die Südwestdeutsche Stromhandels GmbH wurde mit dem ATVISIO Award 2025 ausgezeichnet! In dieser Folge des Performance Manager Podcasts erfahren Sie, wie SüdWestStrom seine Business Intelligence-Lösung erfolgreich neu aufgestellt hat und sich damit gegen über 100 Projekte durchsetzen konnte. Das Projekt im Überblick:  Neuausrichtung der Analyse- und Steuerungsinstrumente Implementierung der BI-Lösung Jedox für Reporting und Planung Coaching-orientierter Ansatz statt Großprojekt Eigenständige Steuerung eines Handelsvolumens im Milliardenbereich Von GuV-Steuerung über Deckungsbeitragsanalysen bis Windpark-Reporting Pragmatische Einzellösungen wie interne Tools zur Lastgangdaten-Analyse  Die Herausforderung:  SüdWestStrom stand vor typischen Controlling-Problemen: Hohe Kosten, eingeschränkte Anpassungsfähigkeit und aufwändige manuelle Prozesse in Excel. Die bisherige Qlik-Lösung erlaubte zwar Analysen, war aber nicht flexibel genug. Die Lösung: Zusammen mit ATVISIO wurde eine integrierte BI-Lösung aufgebaut, die GuV-Steuerung, Kostenstellen-Controlling, Deckungsbeitragsanalysen und energiewirtschaftliche Auswertungen wie Windpark-Reporting vereint.

Business Intelligence scheitert selten an Tools – sondern an fehlender Klarheit über Rollen, Verantwortung und Zusammenarbeit. In dieser Episode von TDWI Data Universe spricht Mirjam Cohrs (Director Group BI & Data Strategy, Bilfinger SE) über die Rolle von Business Intelligence Competence Centern (BICC) und warum BI häufig „zwischen den Stühlen“ landet. Mirjam zeigt, wie ein BICC dann wirksam wird, wenn es als strategisches Bindeglied zwischen Fachbereichen, IT und Management agiert: mit klarer Vision, Governance und einem Gesamtüberblick über laufende und geplante Initiativen. Dabei geht es nicht um Zentralisierung um jeden Preis, sondern um ein bewusstes Zusammenspiel: zentrale, geprüfte Datenbasis – kombiniert mit dezentraler fachlicher Logik. Ein zentrales Thema ist der Umgang mit Schattenreporting, das oft aus gut gemeintem Self Service entsteht. Statt Daten-Downloads und paralleler Eigenlösungen setzt Group BI auf geprüfte Daten aus den ERP-Systemen, bereitgestellt über eine zentrale Plattform. Eine Episode über BI als Stabsfunktion, über Verantwortung statt Silos – und darüber, wie Datenorganisation echte Entscheidungsfähigkeit ermöglicht.

WHS is conducting market research for a $400M–$500M Multiple-Award IM&T IDIQ supporting the Defense Security Cooperation Agency (DSCA). This new requirement covers Program & Project Management, Software Development & Sustainment, and Data Management & Business Intelligence, with a strong focus on Agile delivery, DevSecOps, and modern data platforms. Award is expected in August 2026.Listen now to understand the scope, key requirements, and how vendors can position early.Contact ProposalHelper at sales@proposalhelper.com to find similar opportunities and help you build a realistic and winning pipeline.

In this episode, Adam Torres ⁠interviews Alex Kangoun, CEO of Athena Solutions, Inc., about why data readiness—not AI models—is the real driver of success in the AI era. Alex shares how companies can overcome data management debt, build trust through incremental wins, and turn data into a competitive advantage. About ⁠Alex Kangoun Alex has over 20 years of data warehousing and business intelligence consulting experience across multiple industries. His experience includes solution delivery for BI and data quality initiatives. His core strengths include managing global projects involving teams across multiple locations. Prior to Athena Solutions Alex was responsible for BI solutions at Pitney Bowes and was Director of Business Intelligence and Data Quality at Monster.com. His other clients included Price Waterhouse Coopers, PTC, Fidelity, Teradyne, EMC, Citizens Bank, and others. Alex has MBA from Boston College and MS from Kiev National University of Construction and Architecture. Alex is certified Project Manager Professional (PMP) from PMI. About Athena Solutions Athena Solutions offers strategic data management and business intelligence consulting that empowers businesses to access and use their data to make better business decisions. The experts at Athena Solutions have over twenty years of business intelligence experience, having worked on over 100 successful projects in various industries such as financial services, healthcare, consumer product goods, retail, telecom and high tech. Watch Full Episode on ⁠Youtube⁠. --- Follow Adam on Instagram at ⁠https://www.instagram.com/askadamtorres/⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠https://missionmatters.lpages.co/podcastguest/⁠ Visit our website: ⁠https://missionmatters.com/⁠ More FREE content from Mission Matters here: ⁠https://linktr.ee/missionmattersmedia Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode, ⁠Adam Torres ⁠⁠interviews ⁠Alex Kangoun⁠, CEO of Athena Solutions, Inc., about why data readiness—not AI models—is the real driver of success in the AI era. Alex shares how companies can overcome data management debt, build trust through incremental wins, and turn data into a competitive advantage. About⁠ ⁠⁠Alex Kangoun Alex has over 20 years of data warehousing and business intelligence consulting experience across multiple industries. His experience includes solution delivery for BI and data quality initiatives. His core strengths include managing global projects involving teams across multiple locations. Prior to Athena Solutions Alex was responsible for BI solutions at Pitney Bowes and was Director of Business Intelligence and Data Quality at Monster.com. His other clients included Price Waterhouse Coopers, PTC, Fidelity, Teradyne, EMC, Citizens Bank, and others. Alex has MBA from Boston College and MS from Kiev National University of Construction and Architecture. Alex is certified Project Manager Professional (PMP) from PMI. About⁠ ⁠⁠Athena Solutions⁠ Athena Solutions offers strategic data management and business intelligence consulting that empowers businesses to access and use their data to make better business decisions. The experts at Athena Solutions have over twenty years of business intelligence experience, having worked on over 100 successful projects in various industries such as financial services, healthcare, consumer product goods, retail, telecom and high tech. Watch Full Episode on⁠ ⁠Youtube⁠⁠. --- Follow Adam on Instagram at⁠ ⁠https://www.instagram.com/askadamtorres/⁠⁠ for up to date information on book releases and tour schedule. Apply to be a guest on our podcast: ⁠⁠https://missionmatters.lpages.co/podcastguest/⁠⁠ Visit our website: ⁠⁠https://missionmatters.com/⁠⁠ More FREE content from Mission Matters here:⁠ ⁠https://linktr.ee/missionmattersmedia⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Gemeinkosten machen in vielen Unternehmen einen erheblichen Anteil der Gesamtkosten aus – doch ihre Verrechnung und Steuerung gilt als kompliziert und fehleranfällig. Das Problem: Falsche Zuschlagssätze verzerren Kalkulationen, ungenutzte Kapazitäten belasten die Profitabilität und Verwaltungskosten wachsen schneller als der Umsatz. In dieser Folge des Performance Manager Podcasts spricht Peter Bluhm mit Prof. Dr. Andreas Hoffjan, einem der Herausgeber der Fachzeitschrift Controlling, über das Schwerpunktthema der aktuellen Ausgabe 1/2026: Gemeinkostenmanagement. Themen dieser Folge: Was bedeutet „Kalkulations-Hygiene" und warum werden Zuschlagssätze in der Praxis so selten auf Korrektheit überprüft? Wie können Leerkosten durch ungenutzte Kapazitäten präzise ermittelt und gesteuert werden – besonders in volatilen Zeiten? Welche Potenziale bieten moderne Technologien wie Process Mining, BI-Tools und Künstliche Intelligenz für ein besseres Gemeinkostenmanagement? 

In this episode, Dave Hoekstra of Calabrio sits down with Jinesh Nair, Head of Service Planning & Performance at Hargreaves Lansdown, to discuss how one of the UK's leading financial services organizations transformed its approach to workforce planning.Jinesh shares how a 350-agent operation spanning 25 departments tackled declining schedule adherence, 43% shrinkage, and highly manual real-time management by building a service planning function from the ground up. With Calabrio at the center, the team introduced greater agent autonomy, meaningful adherence and performance KPIs, and a data-driven real-time approach that shifted planners from manual adjustments to proactive insights.The results speak for themselves: schedule adherence increased from 82% to 91%, multiskilling became a strategic advantage, and the contact center evolved into a more resilient, connected part of the organization.The conversation explores why investing in the right people and processes matters more than tools alone, and why Net Promoter Score remains the ultimate pulse of the organization, reflecting customer experience, brand, and revenue in a single metric.

Widersprüchliche Berichte aus verschiedenen Systemen, unklare Zuständigkeiten bei Stammdaten und endlose Diskussionen über die „richtige" Zahl – viele CFO, Controller und IT-Verantwortliche erleben diese Herausforderungen täglich. Daten werden als „das neue Öl" bezeichnet, doch im Alltag herrscht oft Chaos statt Strategie. Genau hier setzt Data Governance an – als strukturierter Rahmen für den professionellen Umgang mit der Unternehmensressource Daten. Zu Gast: Dr. Christiana Klingenberg - Leiterin Data Management Center of Excellence bei iDIGMA und Prof. Dr. Kristin Weber - Vizepräsidentin für Digitalisierung und CIO der TH Würzburg-Schweinfurt. In dieser Episode: Warum Data Governance eine „Journey" ist – kein klassisches Projekt mit Anfang und Ende. Wie das qualitätsorientierte Framework auf drei Ebenen aufbaut: von der Strategie über Rollen und Kultur bis zur technischen Infrastruktur. Wie man Datenqualität messbar und die versteckten Kosten schlechter Daten sichtbar macht. Welche Rolle Data Governance bei KI-Anwendungen spielt und konkrete erste Schritte für den Einstieg. Beide Autorinnen bringen rund 20 Jahre Erfahrung aus Beratung, Forschung und Praxis mit und haben kürzlich die zweite Auflage ihres Fachbuches „Data Governance - Der Leitfaden für die Praxis" im Hanser Verlag veröffentlicht.

Widersprüchliche Berichte aus verschiedenen Systemen, unklare Zuständigkeiten bei Stammdaten und endlose Diskussionen über die „richtige" Zahl – viele CFO, Controller und IT-Verantwortliche erleben diese Herausforderungen täglich. Daten werden als „das neue Öl" bezeichnet, doch im Alltag herrscht oft Chaos statt Strategie. Genau hier setzt Data Governance an – als strukturierter Rahmen für den professionellen Umgang mit der Unternehmensressource Daten. Zu Gast: Dr. Christiana Klingenberg - Leiterin Data Management Center of Excellence bei iDIGMA und Prof. Dr. Kristin Weber - Vizepräsidentin für Digitalisierung und CIO der TH Würzburg-Schweinfurt. In dieser Episode: Warum Data Governance eine „Journey" ist – kein klassisches Projekt mit Anfang und Ende. Wie das qualitätsorientierte Framework auf drei Ebenen aufbaut: von der Strategie über Rollen und Kultur bis zur technischen Infrastruktur. Wie man Datenqualität messbar und die versteckten Kosten schlechter Daten sichtbar macht. Welche Rolle Data Governance bei KI-Anwendungen spielt und konkrete erste Schritte für den Einstieg. Beide Autorinnen bringen rund 20 Jahre Erfahrung aus Beratung, Forschung und Praxis mit und haben kürzlich die zweite Auflage ihres Fachbuches „Data Governance - Der Leitfaden für die Praxis" im Hanser Verlag veröffentlicht.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop welcomes Roni Burd, a data and AI executive with extensive experience at Amazon and Microsoft, for a deep dive into the evolving landscape of data management and artificial intelligence in enterprise environments. Their conversation explores the longstanding challenges organizations face with knowledge management and data architecture, from the traditional bronze-silver-gold data processing pipeline to how AI agents are revolutionizing how people interact with organizational data without needing SQL or Python expertise. Burd shares insights on the economics of AI implementation at scale, the debate between one-size-fits-all models versus specialized fine-tuned solutions, and the technical constraints that prevent companies like Apple from upgrading services like Siri to modern LLM capabilities, while discussing the future of inference optimization and the hundreds-of-millions-of-dollars cost barrier that makes architectural experimentation in AI uniquely expensive compared to other industries.Timestamps00:00 Introduction to Data and AI Challenges03:08 The Evolution of Data Management05:54 Understanding Data Quality and Metadata08:57 The Role of AI in Data Cleaning11:50 Knowledge Management in Large Organizations14:55 The Future of AI and LLMs17:59 Economics of AI Implementation29:14 The Importance of LLMs for Major Tech Companies32:00 Open Source: Opportunities and Challenges35:19 The Future of AI Inference and Hardware43:24 Optimizing Inference: The Next Frontier49:23 The Commercial Viability of AI ModelsKey Insights1. Data Architecture Evolution: The industry has evolved through bronze-silver-gold data layers, where bronze is raw data, silver is cleaned/processed data, and gold is business-ready datasets. However, this creates bottlenecks as stakeholders lose access to original data during the cleaning process, making metadata and data cataloging increasingly critical for organizations.2. AI Democratizing Data Access: LLMs are breaking down technical barriers by allowing business users to query data in plain English without needing SQL, Python, or dashboarding skills. This represents a fundamental shift from requiring intermediaries to direct stakeholder access, though the full implications remain speculative.3. Economics Drive AI Architecture Decisions: Token costs and latency requirements are major factors determining AI implementation. Companies like Meta likely need their own models because paying per-token for billions of social media interactions would be economically unfeasible, driving the need for self-hosted solutions.4. One Model Won't Rule Them All: Despite initial hopes for universal models, the reality points toward specialized models for different use cases. This is driven by economics (smaller models for simple tasks), performance requirements (millisecond response times), and industry-specific needs (medical, military terminology).5. Inference is the Commercial Battleground: The majority of commercial AI value lies in inference rather than training. Current GPUs, while specialized for graphics and matrix operations, may still be too general for optimal inference performance, creating opportunities for even more specialized hardware.6. Open Source vs Open Weights Distinction: True open source in AI means access to architecture for debugging and modification, while "open weights" enables fine-tuning and customization. This distinction is crucial for enterprise adoption, as open weights provide the flexibility companies need without starting from scratch.7. Architecture Innovation Faces Expensive Testing Loops: Unlike database optimization where query plans can be easily modified, testing new AI architectures requires expensive retraining cycles costing hundreds of millions of dollars. This creates a potential innovation bottleneck, similar to aerospace industries where testing new designs is prohibitively expensive.

Colin is the co-founder & CEO of Omni, the Business Intelligence tool that has seen rapid adoption over the past years. By 2025, Omni had raised $69 million and reached a valuation of $650 million. Many data leaders are now choosing to abandon their traditional BI tools in favor of Omni.We address :

Wissen Sie, was IKEA zum größten Möbelhersteller der Welt gebracht hat? Es waren definitiv nicht die günstigen Preise. Es war ein simples Prinzip: Alles passt zusammen. Das Regal zum Schrank. Der Schrank zur Kommode. Standardmaße, die überall funktionieren. Unendlich erweiterbar. Ein echtes System. Und genau das fehlt den meisten Unternehmen bei ihrer Business Intelligence. Das Controlling bastelt in Excel. Der Vertrieb hat sein eigenes Dashboard. Die Produktion frickelt in Power BI. Jeder hat sein eigenes System – aber nichts passt wirklich zusammen. Bis die Geschäftsführung plötzlich verlässliche Zahlen braucht. Dann gibt es drei verschiedene Umsatzwerte. Vier Datenquellen. Fünf Definitionen von „Kunde". Sind wir ehrlich: Das ist Datenchaos pur. Im Podcast erzählt Peter Bluhm, wie ein Verpackungshersteller aus Süddeutschland aus diesem Chaos ein BI-System entwickelt hat, das wirklich funktioniert. Das mitwächst. Das nicht bei jedem neuen Report neu erfunden werden muss. Sozusagen: Das IKEA-Prinzip für Business Intelligence.

Chief Data Officer Anurag Shah, SIAA, explains how agents and brokers can avoid common data missteps, leverage real-time business intelligence and turn rapid technological change into a competitive advantage.

In this episode of Working Smarter, Dave Hoekstra speaks with Dan Eddie, Customer Services Director at Simplyhealth - loyal Calabrio customer -  about the evolution of customer service in the healthcare sector. Together, they explore Simplyhealth's mission to improve access to healthcare in the UK, the shift from voice to digital contact channels, and how AI is being integrated to enhance the customer experience.Dan shares practical insights on the importance of business readiness, employee satisfaction, and the real-world challenges of implementing AI in the contact center. The conversation highlights why having a clear purpose and strategy is essential when adopting new technologies, and how Simplyhealth's focus on “Speed to Happiness” is shaping its CX transformation.

Understanding cloud costs can be challenging, but it's essential for maximizing value. In this episode, hosts Lois Houston and Nikita Abraham speak with Oracle Cloud experts David Mills and Tijo Thomas about how Oracle Cloud Infrastructure offers predictable pricing, robust security, and high performance. They also introduce FinOps, a practical approach to tracking and optimizing cloud spending. Cloud Business Jumpstart: https://mylearn.oracle.com/ou/course/cloud-business-jumpstart/152957  Oracle University Learning Community: https://education.oracle.com/ou-community  LinkedIn:  https://www.linkedin.com/showcase/oracle-university/  X: https://x.com/Oracle_Edu  Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.    -------------------------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:27 Nikita: Welcome back to another episode of the Oracle University Podcast! I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and I'm joined by Lois Houston, Director of Communications and Adoption with Customer Success Services.  Lois: Hi everyone! Last week, we talked about how Oracle Cloud Infrastructure brings together developer tools, automation, and AI on a single platform. In today's episode, we're highlighting the real-world impact OCI can have on business outcomes. 00:58 Nikita: And to tell us about this, we have our experts David Mills and Tijo Thomas back with us. David is a Senior Principal PaaS Instructor and Tijo is a Principal OCI Instructor, and they're both from Oracle University. David, let's start with you. What makes Oracle Cloud Infrastructure the trusted choice for organizations across industries like banking, healthcare, retail, and government? David: It all comes down to one thing. OCI was built for real businesses, not side projects, not hobby apps, not test servers, but mission-critical systems at scale.  Most clouds brag about their speed, but OCI is consistently fast, even under pressure. And that's because Oracle built OCI on a non-blocking network and bare metal infrastructure, with dedicated resources and no noisy neighbors. So, whether you're running one application or 1,000, you get predictable, low latency, performance every time as OCI doesn't force you into any specific mold. You want full control? Spin up a virtual machine and configure everything. You need to move fast? Use a managed service like Autonomous Database or Kubernetes. Prefer to build your own containers, functions, APIs, or develop with low code or even no code tools? OCI supports all of it. And it plays nicely with your existing stack—on-prem or in another cloud. OCI adapts to how you already work instead of making you start over.  02:39 Lois: And when it comes to pricing, how does OCI help customers manage costs more effectively?  David: OCI is priced for real business use, not just the flashy low entry number. You only pay for what you use. No overprovisioning, no lock in. Virtual machines can scale up and down automatically. Object storage automatically shifts to a lower cost tier based on frequency of access. Autonomous services don't need babysitting or patching. And unlike some providers, OCI doesn't charge you to get your own data back. It's enterprise grade cloud without enterprise grade sticker shock. 03:26 Lois: Security and flexibility are top priorities for many organizations. How does OCI address those challenges? David: OCI treats security as a starting point, not an upsell. From the moment you create an account, every tenant is isolated. All data is encrypted. Admin activity is logged and security tools like Cloud Guard are ready to go. And if you need to prove compliance for GDRP, FedRAMP, HIPAA, or more, you're covered. OCI is trusted by the world's most regulated industries. Most companies don't live in one cloud. They've got legacy systems, other cloud providers, and different teams doing different things. OCI is designed to work in hybrid and multi-cloud environments. Connect to your on-prem apps with VPN or FastConnect. Run Oracle workloads in your data center with Cloud@Customer. Interconnect with Azure and Google Cloud or integrate with Amazon. OCI isn't trying to lock you in. It's seeking to meet you where you are and help you modernize without breaking what works. 04:40 Nikita: Can you share an example of a business that's seen measurable results with OCI? David: A national health care provider was stuck on aging hardware with slow batch processing and manual upgrades. They migrated core patient systems to OCI and used Oracle Autonomous Database for faster, self-managed workloads. They leveraged Oracle Integration to connect legacy electronic health records, OCI FastConnect to keep real-time sync with data in their on-prem systems, and they went from 12-hour downtime Windows to zero, from three weeks to launch a feature to three days, and they cut infrastructure cost by 38%. And that's what choosing OCI looks like. 05:37 Are you looking to boost your expertise in enterprise AI? Check out the Oracle AI Agent Studio for Fusion Applications Developers course and professional certification—now available through Oracle University. This course helps you build, customize, and deploy AI Agents for Fusion HCM, SCM, and CX, with hands-on labs and real-world case studies. Ready to set yourself apart with in-demand skills and a professional credential? Learn more and get started today! Visit mylearn.oracle.com for more details. 06:12 Nikita: Welcome back! Tijo, controlling costs while driving innovation is a tough balancing act for many organizations. What are the biggest challenges organizations face when trying to manage and optimize their cloud spending? Tijo: The first one is unexpected cloud cost. Let's be honest. Cloud bills can be shocking. You think you've got things under control, that the invoice shows up and you realize it is way over the budget. Without real-time visibility, it is quite hard to catch these surprises before they happen. The next one is with waste of resources and inefficiencies. It is quite common to find resources that are just sitting idle, such as unused storage, underutilized CPU, or overprovisioned memory. It may not seem like there are much of resource wastage at first, but over time all that is really going to add up. Then there is no clear ownership of cloud spend. It is one of the big problem in cost management. If cost are not clearly tagged to a team or a project, nobody feels responsible, and that makes it really tough to manage or reduce the cloud spend. There is also misaligned priorities across teams, and looking at different teams like finance, they may want to cut the cost while engineering want to move faster, operations want everything to be up and running. While every team is doing their best, but without a common approach to cost, it becomes challenging to prioritize tasks. Slow and reactive decision making is another challenge. Most cost issues gets identified after the bill is invoiced, and by then the budget has been already spent. Without timely data, it becomes difficult to make real time changes. And then complex, multi-cloud and regional footprint. As businesses grow across regions and with multi-cloud deployment model, tracking where the budget is going gets really tricky. More services means there are more teams and more complexity. Now, all of these challenges have one thing in common. They need a better way to manage cloud cost together. And this is where FinOps comes in. 08:42 Lois: And what exactly is FinOps? How does it address these cloud cost challenges? Tijo: FinOps stands for financial operations. It is a framework that brings teams like engineering, operations, finance, and beyond to work together so that the cloud spending becomes smarter, more visible, and better aligned towards business goals. And so FinOps is not just a tool, it is a way of working. According to FinOps Foundation, FinOps lifecycle happens in three phases: inform, optimize, and operate.  The inform phase is about visibility and allocation, which means you gather the cost, usage, and efficiency data in order to forecast and budget. The optimize phase is about rates and usage, and this is where you would take action to optimize or bring efficiencies. And then in operate, you turn those into continuous improvements through policies, trainings, and automation. 09:51 Nikita: Let's unpack FinOps a bit more. Why is understanding your cloud subscription model so fundamental in the Inform phase? Tijo: Because cost visibility is very important while managing your Oracle Cloud subscription. There are two ways to purchase OCI services. The first one, we refer to it as pay as you go model, which means you pay for what you use, and the second one is called universal credit annual commitment model, where you can purchase a prepaid amount of universal credits, and the prepaid amount will be drawn down based on actual usage. OCI provides a portal called FinOps Hub, where you can easily track how your usage has changed month by month over the past year. Through the Hub, you can monitor whether you have stayed within your credit allocation or not. You will also see how much of your committed credits have been used, how much is left, and when is your commitment set to expire. The next step is to gain visibility or to understand the cost. In Oracle Cloud Infrastructure, this starts with the service called cost analysis. OCI Cost Analysis is a service that would help you to filter, group, and visualize your cloud cost in a way that makes sense for your business. You can compare cost over time. You can drill down the cost by services, and track those spending by specific teams or projects. And then finally export detailed reports for finance or leadership reviews. OCI Cost Analysis gives you an interactive, near real-time view of your cloud spending. So you're not just seeing the numbers, you are understanding what is driving them. The next one is about setting up spending limits and this is done through OCI Budgets. For example, the organization can set up a monthly budget for the development team. If their usage, the cloud usage exceeds 80% of that limit, an alert will be triggered to notify the team. This means you can configure a threshold, send alerts, or even take actions automatically.  12:16 Lois: Tijo, what happens during the Optimize and Operate phases of the FinOps framework? Tijo: The inform stage was more about awareness. In the optimize phase, you take that data you've collected, and use it to optimize resources and improve efficiency. In OCI, we'll start with Cloud Advisor. OCI Cloud Advisor finds potential inefficiencies in your tenancy, and offers you guided solutions that explain how to address them. The recommendations help you to maximize cost savings. For example, it gives you personalized recommendations like deleting idle resources or resizing compute instances. Secondly, you can identify steps for performance improvements. And finally, enhance high availability and security with suggesting configurations for your cloud resources. In the third phase, operate, it is about making optimization as a routine or continuous improvements, and this is done through incorporating FinOps into your organization. OCI provides cost and usage reports that can automatically generate daily reports. These reports would show detailed usage data for every OCI service that you're using. You can export cost reports in FOCUS format. FOCUS is an industry standard and it stands for FinOps Open Cost and Usage Specification. 13:52 Nikita: And what makes the FOCUS format important for organizations? Tijo: The format enables the cost data to be consistent. It is well structured, and ready to use with other FinOps tools or dashboards. These reports can also ingest into Business Intelligence or analytics tools that will help you with better visualizations. Organizing your resources the right way is the key to get more accurate and simplified data. Without a clear structure, your cost data will be too complex. In OCI, this structure starts with your tenancy. Tenancy is your top level OCI account, and it represents the presence of cloud for your entire organization. Next, you have compartments. Compartments help you to break down your cloud environment into logical groups, for example, by department or business unit or projects. Then there are tags, and this is where cost visibility gets more meaningful. Tags allow you to assign custom labels to each resources. Things like environment type, cost center, or the owner name.   15:06 Lois: Some people think cost visibility is a concern mainly for finance teams. What's your perspective on this? Tijo: Cost visibility should be a shared responsibility, which means it shouldn't just be shared with the finance. Engineers, architects, and project owners all need to have access to the cost data that are relevant to them. Because when teams have visibility, they take ownership and that leads to better decisions which are faster, smarter, and more aligned to business goals. 15:42 Nikita: Thank you, David and Tijo, for joining us and sharing your insights. Lois: If you'd like to learn more, visit mylearn.oracle.com and look for the Cloud Business Jumpstart course. Next week, we'll explore security and compliance in OCI. Until next time, this is Lois Houston… Nikita: And Nikita Abraham signing off! 16:03 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Einzelperson mit ChatGPT schlägt klassisches Zweierteam. Bei Geschwindigkeit. Bei Lösungsqualität. Bei emotionaler Resilienz. Das zeigt eine Harvard-Studie mit 776 Fachkräften bei P&G. Was bedeutet das für das Controlling? Darüber spreche ich mit Prof. Dr. Nicole Jekel im aktuellen Podcast. Wir diskutieren KI als Teammitglied im Controlling, konkrete Prompts für die Datenprüfung und warum ChatGPT keine Silos kennt. Controller werden nicht ersetzt – aber ihre Rolle verschiebt sich vom Zahlenabwickler zum Denkanstoßgeber.

Maybe you have noticed all the vacant commercial real estate in the East Valley? Doug Ressler, manager of business intelligence with Yardi Matrix, explains why. 

About the Guest Kiersten Hafer is Vice President of Business Intelligence and Innovation for the National Pork Board and provides strategy, insights and guidance to the pork industry and supply chain on where to play and how to win with pork. She has leveraged her 30 years of experience with Fortune 500 companies and high-growth organizations to uncover and unlock potential, facilitate change and measure expansion. As a lifelong connector and change agent, she has strategized business growth with retailers, marketing agencies, food brokers, food-service operators, market research firms, and consumer goods manufacturers. Before her role with the National Pork Board, she served as vice president of marketing for Clemens Food Group where she was responsible for marketing, innovation and business insights across its retail and food-service businesses. Hafer is a graduate of Saint Joseph's University with a Master of Science degree in food marketing from the Haub School of Business. She resides in the Greater Philadelphia region with her husband, two children and two golden retrievers. What can you expect to learn from this episode of Popular Pig? Why pork's future growth depends on understanding today's consumer and not just producing a great product. How data and business intelligence are being used to help sell more pork at retail and food-service. Why younger consumers want bold flavors, global cuisine, and finished dishes; not whole muscle cuts. How rethinking naming, portion size, and presentation can remove barriers to buying fresh pork. Kiersten's “Golden Nugget”

Die AXA Schweiz gilt als Vorreiter beim Thema Datennutzung in der Versicherungsbranche. Seit 2015 verfolgt das Unternehmen eine klare Datenstrategie. Heute generiert es aus seinen Daten einen Wert, der die Investitionen um ein Vielfaches übersteigt. Aber wie schafft man das konkret? Wie bringt man IT und Business wirklich zusammen? Im Performance Manager Podcast spricht Peter Bluhm mit Dr. Kathrin Braunwarth, Mitglied der Geschäftsleitung der AXA Schweiz und Leiterin des Bereichs Data, Technology & Innovation. Sie erzählt, wie die AXA ihre Datenstrategie in drei Phasen aufgebaut hat. Von ersten Experimenten bis zur unternehmensweiten Skalierung. Sie erklärt, warum man sich bewusst gegen ein zentrales Data Warehouse entschieden hat. Und wie sie Datenverantwortung in die Fachbereiche gebracht haben, ohne die zentrale Steuerung zu verlieren. Kathrin Braunwarth teilt ihre Erfahrungen und zeigt, welche fünf Faktoren bei der AXA den Unterschied gemacht haben. Vom Rückhalt der Geschäftsleitung bis zur einheitlichen Datenbasis.

Executives from March Networks explain how Amazon Bedrock transformed petabytes of surveillance video into economically viable solutions that unlock untapped business value.Topics Include:March Networks CEO and CPO discuss video surveillance for enterprise banks and retailers globallyCompany serves 10,000 customers with 250,000 installations worldwide since 2003 from Ottawa headquartersBanking customer operates across 25 countries centralizing video operations on one standardized platformSingle enterprise customer manages 65 petabytes of distributed data across March Networks recordersAWS partnership enables five-to-ten-year cloud transition starting with economical DeepGlacier storage solutionsAmazon Bedrock powers AI Smart Search analyzing snapshots for searchable business intelligence insightsEnterprise video data remains largely untapped for retail traffic patterns and operational efficiencyOne retailer processes three million daily POS transactions across 6,000 locations synchronized with video2025 brought AI Smart Search launch enabling natural language queries across entire operationsCloud storage became economically viable using Glacier after traditional quotes reached millions annuallyFraudsters exploit 90-180 day retention windows by waiting six months to file lawsuits2026 vision emphasizes consultative selling for efficiency gains supported by strong AWS partnershipParticipants:Peter Strom – President & Chief Executive Officer, March NetworksJeff Corrall – Chief Product Officer, March NetworksSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Die AXA Schweiz gilt als Vorreiter beim Thema Datennutzung in der Versicherungsbranche. Seit 2015 verfolgt das Unternehmen eine klare Datenstrategie. Heute generiert es aus seinen Daten einen Wert, der die Investitionen um ein Vielfaches übersteigt. Aber wie schafft man das konkret? Wie bringt man IT und Business wirklich zusammen? Im Performance Manager Podcast spricht Peter Bluhm mit Dr. Kathrin Braunwarth, Mitglied der Geschäftsleitung der AXA Schweiz und Leiterin des Bereichs Data, Technology & Innovation. Sie erzählt, wie die AXA ihre Datenstrategie in drei Phasen aufgebaut hat. Von ersten Experimenten bis zur unternehmensweiten Skalierung. Sie erklärt, warum man sich bewusst gegen ein zentrales Data Warehouse entschieden hat. Und wie sie Datenverantwortung in die Fachbereiche gebracht haben, ohne die zentrale Steuerung zu verlieren. Kathrin Braunwarth teilt ihre Erfahrungen und zeigt, welche fünf Faktoren bei der AXA den Unterschied gemacht haben. Vom Rückhalt der Geschäftsleitung bis zur einheitlichen Datenbasis.

How to Get Visible as a Bookkeeper: Sage's Chris Downing on Confidence, Tech and Career Opportunities In this Leadership Takeover Session, Sage's Chris Downing shows bookkeepers and accountants exactly how to get more visible, build a reputation that feels authentic, and turn their experience into new opportunities – without pretending to be someone they're not. Drawing on 19 years in practice (from junior to partner) and his current role as the “voice of the accountant and bookkeeper” inside Sage, Chris explains what visibility really means, why it matters, and how to start even if you feel shy, busy or unsure what to say. Read the GoProposal by Sage guide on how to be an authoritative accountant (or bookkeeper) and establish trust https://goproposal.com/blog/trusted/?UTM_Source=6FB Hosted by Jo Wood and Zoe Whitman from The 6 Figure Bookkeeper, this episode goes behind the scenes with one of the most recognisable faces in the UK accounting tech space. You'll hear how early work experience, a love of technology and a focus on saving clients time led Chris to build a Business Intelligence department inside his firm, win Technology Champion of the Year, and ultimately move from practice into a senior role at Sage. Along the way he shares the mindset shifts that helped him speak at events, work with banks, and present to rooms full of peers – even when it felt nerve-wracking. You'll learn why visibility is not about showing off, but about being useful and relatable; how awards, case studies and collaboration with software partners can quietly raise your profile; and why the firms that grow fastest are usually the ones willing to share what they're doing well. Chris talks about saying yes (and sometimes no) to events, how he protects his time, and how he balances a busy internal role at Sage with being present at conferences, webinars and community meetups. For bookkeepers, he explains why your proximity to the numbers gives you huge commercial insight, why bookkeeping can feel lonely and how to build a supportive network with accountants and peers. He describes the “golden triangle” between the business owner, the accountant and the bookkeeper, and why collaboration – rather than competition – is where the real opportunity lies as MTD and digitisation reshape the profession. This is essential viewing for bookkeepers who want to stop being “brilliant but invisible”, share their expertise with confidence, and build a long-term career that can grow in whatever direction they choose. ----------------------------------------------- About us We're Jo and Zoe and we help bookkeepers find clients, make more money and build profitable businesses they love. Find out about working with us in The Bookkeepers' Collective, at: 6figurebookkeeper.com/collective ----------------------------------------------- About our Sponsor This episode of The Bookkeepers' Podcast is sponsored by Xero. Get 90% off your first 6 months by visiting: https://xero5440.partnerlinks.io/6figurebookkeeper ----------------------------------------------- Promotion This video contains paid promotion. ----------------------------------------------- Disclaimer The information contained in The Bookkeepers' Podcast is provided for information purposes only. The contents of The Bookkeepers' Podcast is not intended to amount to advice and you should not rely on any of the contents of the Bookkeepers' Podcast. Professional advice should be obtained before taking or refraining from taking any action as a result of the contents of the Bookkeepers' Podcast. The 6 Figure Bookkeeper Ltd disclaims all liability and responsibility arising from any reliance placed on any of the contents of the Bookkeepers' Podcast.

In this episode I'm going to do something a little different. As we wind down for the year, we're going to be running some of our favorites from 2025 until the new year begins.Let's take a look back at some of the overall themes discussed and point out a few highlights for me. I won't be able to highlight everything of course but I found 5 themes really interesting. And, I won't lie - I had a little help from AI in doing this. But that's also kind of the point. We have all been using AI to do things to make our work easier, and I thought that poring through 150+ episodes recorded over 12 months is a perfect thing to have AI help me with. About Greg Kihlström Greg Kihlström is a best-selling author, speaker, and entrepreneur, and serves as an advisor and consultant to top companies on marketing technology, marketing operations, and digital transformation initiatives. He has worked with some of the world's top brands, including Adidas, Coca-Cola, FedEx, HP, Marriott, Nationwide Insurance, Victoria's Secret, and Toyota. He is a multiple-time Co-Founder and C-level leader, leading his digital experience agency to be acquired in 2017, successfully exited an HR technology platform provider he co-founded in 2020, and led a SaaS startup to be acquired by a leading edge computing company in 2021. He currently advises and sits on the Board of a marketing technology startup.In addition to his experience as an entrepreneur and leader, he earned his MBA, is currently a doctoral candidate for a DBA in Business Intelligence, and teaches several courses and workshops as a member of the School of Marketing Faculty at the Association of National Advertisers. He has served on the Virginia Tech Pamplin College of Business Marketing Mentorship Advisory Board, the University of Richmond's CX Advisory Board, and was the founding Chair of the American Advertising Federation's National Innovation Committee.  Greg is Lean Six Sigma Black Belt certified, is an Agile Certified Coach (ICP-ACC), and holds a certification in Business Agility (ICP-BAF).  Greg Kihlström on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Resources The Agile Brand Podcast: https://www.gregkihlstrom.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

AI is saving contact centers time, but is it actually making life better for agents? In this episode of Working Smarter, Dave Hoekstra chats with Steve Morrell from ContactBabel about new research into agent burnout, the evolving role of the agent, and what really happens when productivity goes up but KPIs don't change. From AI-powered self-service and agent assist to analytics that tell us why customers are calling, they explore whether time saved is being reinvested wisely, or quietly driving new pressures. The conversation also digs into manager empathy, agent empowerment, and why up to 25% of call time is still spent hunting for information, proving that the data is there, but we may be asking the wrong questions.

In dieser Folge sprechen wir über die Grundsätze ordnungsgemäßer Planung (GOP 3.0), die der Bundesverband Deutscher Unternehmensberatungen (BDU) 2022 veröffentlicht hat. Während es in der Buchhaltung seit Jahrzehnten klare Standards gibt, herrscht in der Unternehmensplanung oft „Freestyle". Die GOP wollen diese Lücke schließen und zeigen, welche Mindestanforderungen eine professionelle Planung erfüllen sollte. Besonders relevant wird das Thema durch das StaRUG (Unternehmensstabilisierungs- und Restrukturierungsgesetz), das seit 2021 alle haftungsbeschränkten Unternehmen zur Krisenfrüherkennung verpflichtet. Unser Gast: Prof. Dr. Werner Gleißner - Vorstand der FutureValue Group AG - Honorarprofessor für Betriebswirtschaftslehre (Schwerpunkt Risikomanagement) an der TU Dresden - Vorstand der EACVA (European Association of Certified Valuators and Analysts) - Vorstand der Deutschen Gesellschaft für Krisenmanagement (DGfKM) Key Learnings  - Planung braucht Struktur: GOP setzen klare Mindeststandards für eine ordnungsgemäße Unternehmensplanung. - Ganzheitlichkeit ist Pflicht: GuV, Bilanz und Cashflow müssen integriert geplant werden. - Ziel ≠ Erwartung: Erwartungswerte für Entscheidungen, Zielwerte für die Steuerung. - Krisenfrüherkennung ist Pflicht: StaRUG gilt für alle GmbHs seit 2021. - GOP als gesetzliche Basis: GOP-konforme Planung ermöglicht wirksame Krisenprävention. - Auch für den Mittelstand machbar: Eine schrittweise Umsetzung ist realistisch. Rechtlicher Hinweis Die in diesem Podcast geteilten Informationen dienen ausschließlich zu Informationszwecken und stellen keine Rechts-, Steuer- oder Unternehmensberatung dar. Für konkrete Fragestellungen wenden Sie sich bitte an einen qualifizierten Berater.

In dieser Folge sprechen wir über die Grundsätze ordnungsgemäßer Planung (GOP 3.0), die der Bundesverband Deutscher Unternehmensberatungen (BDU) 2022 veröffentlicht hat. Während es in der Buchhaltung seit Jahrzehnten klare Standards gibt, herrscht in der Unternehmensplanung oft „Freestyle". Die GOP wollen diese Lücke schließen und zeigen, welche Mindestanforderungen eine professionelle Planung erfüllen sollte. Besonders relevant wird das Thema durch das StaRUG (Unternehmensstabilisierungs- und Restrukturierungsgesetz), das seit 2021 alle haftungsbeschränkten Unternehmen zur Krisenfrüherkennung verpflichtet. Unser Gast: Prof. Dr. Werner Gleißner  - Vorstand der FutureValue Group AG - Honorarprofessor für Betriebswirtschaftslehre (Schwerpunkt Risikomanagement) an der TU Dresden - Vorstand der EACVA (European Association of Certified Valuators and Analysts) - Vorstand der Deutschen Gesellschaft für Krisenmanagement (DGfKM) Key Learnings - Planung braucht Struktur: GOP setzen klare Mindeststandards für eine ordnungsgemäße Unternehmensplanung. - Ganzheitlichkeit ist Pflicht: GuV, Bilanz und Cashflow müssen integriert geplant werden. - Ziel ≠ Erwartung: Erwartungswerte für Entscheidungen, Zielwerte für die Steuerung. - Krisenfrüherkennung ist Pflicht: StaRUG gilt für alle GmbHs seit 2021.  - GOP als gesetzliche Basis: GOP-konforme Planung ermöglicht wirksame Krisenprävention. - Auch für den Mittelstand machbar: Eine schrittweise Umsetzung ist realistisch.  Rechtlicher Hinweis Die in diesem Podcast geteilten Informationen dienen ausschließlich zu Informationszwecken und stellen keine Rechts-, Steuer- oder Unternehmensberatung dar. Für konkrete Fragestellungen wenden Sie sich bitte an einen qualifizierten Berater.

Join us for a special farewell episode of the Alter Everything Podcast as we celebrate the impactful journey of host Megan Bowers. In this episode, Megan reflects on her career in data analytics, her experiences at Alteryx, and the evolution of the podcast. Discover insights on building a personal brand, the importance of networking in the data industry, and the future of data science and AI. Hear memorable stories from past episodes, expert interviews, and practical advice for data professionals. Panelists: Michael Cusic, Sr. Learning Experience Designer @ Alteryx - @mikecusic, LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Alteryx Community Blog ContentEpisode 194: AI and Data PipelinesEpisode 134: Building Trust in AI with FiddlerEpisode 140: Using Alteryx to Understand Climate ChangeAlteryx ACE program Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

In this episode of Working Smarter, Dave Hoekstra is joined by Martin Teasdale, Founder of Get Out of Wrap, to unpack the findings from our latest Voice of the Agent research. This year, 540 frontline agents opened up about the realities, challenges, and hidden truths of working inside today's contact centers.Last year's report was groundbreaking, revealing that while agents were largely satisfied and proud of their work, major gaps remained around AI readiness, training support, and overall enablement. This year, we dig even deeper. From evolving expectations and shifting workforce dynamics to surprising new trends that leaders can't afford to ignore - this conversation pulls back the curtain on what it really means to be an agent in 2025.Tune in to uncover what's changed, what hasn't, and what every contact center leader needs to know next.

Future of Business Intelligence in Sports with Russell Scibetti, SVP of Strategy and BI at the NY Giants

Budgetierung: Planung oder Verhaltenssteuerung? Beides geht nicht. Die klassische Budgetierung steht vor einem fundamentalen Dilemma: Sie soll realistische Planung ermöglichen UND gleichzeitig ehrgeizige Ziele für variable Vergütungen setzen. Zwei Aufgaben, die sich widersprechen. Im Performance Manager Podcast spricht Peter Bluhm mit Prof. Dr. Thorsten Knauer von der Ruhr Universität Bochum über das Schwerpunktthema der aktuellen Ausgabe der Fachzeitschrift Controlling: - Wie gehen über 300 deutsche Unternehmen damit um?  - Was zeigen Labor-Experimente über "Budgetary Slack"? - Können KI-gestützte Simulationen helfen, Manager zu realistischerer Planung zu bewegen? Brauchen wir einen komplett neuen Steuerungsansatz?

Die neue Deloitte CFO Survey zeigt: Deutschland verliert deutlich an Attraktivität. - Nur 47 % der Unternehmen wollen ihr Unternehmens­hauptquartier in zwei Jahren noch in Deutschland behalten (heute: 85 %). - In der Automobilindustrie fällt die Bedeutung des Produktionsstandorts von 80 % auf 13 %. - 75 % des verarbeitenden Gewerbes erwarten keinen Effekt vom Investitionspaket. Während die Industrie kämpft, wächst der Dienstleistungssektor – die deutsche Wirtschaft spaltet sich zunehmend. Im Gespräch mit Dr. Alexander Börsch analysieren wir die Entwicklung und klären, was CFOs und Controller jetzt tun können.

In this episode of The Digital Executive, host Brian Thomas welcomes Yakir Golan, CEO and Co-founder of Kovrr, a global leader in cyber and AI risk quantification. Drawing from his early career in Israeli intelligence and later roles in software, hardware, and product management, Yakir explains how his background shaped his holistic approach to understanding complex, interconnected risk systems.Yakir breaks down why quantifying AI and cyber risk—rather than relying on subjective, color-coded scoring—is becoming essential for enterprise leaders, boards, and regulators. He explains how Kovrr's new AI Risk Assessment and Quantification module helps organizations model real financial exposure, understand high-impact “tail risks,” and align security, GRC, and finance teams around a shared, objective language.Looking ahead, Yakir discusses how global regulation, including the EU AI Act, is accelerating the need for measurable, defensible risk management. He outlines a future where AI risk quantification becomes a board-level expectation and a foundation for resilient, responsible innovation. Through Kovrr's mission, Yakir aims to equip enterprises with the same level of intelligence-driven decision making once reserved for national security—now applied to the rapidly evolving digital risk landscape.If you liked what you heard today, please leave us a review - Apple or Spotify.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most think that algorithms are the modern root cause of innovations. But says not only are organizations today powered by data, they innovate through data. With several other colleagues, Marta is bringing data studies back to the forefront of information systems research. She produces workshops, a forthcoming book, and an online bibliography with seminal readings. We talk to Marta about the relationship between data and meaning, representation versus innovation, and whether we all soon live in a hyperreality created through synthetic data that lost all connection to the real-world. Episode reading list Alaimo, C., & Kallinikos, J. (2022). Organizations Decentered: Data Objects, Technology and Knowledge. Organization Science, 33(1), 19-37. Aaltonen, A., Stelmaszak, M., & Xu, D. The Data Studies Bibliography. . Chen, H., Chiang, R., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impacts. MIS Quarterly, 36(4), 1165-1188. Wand, Y., & Wang, R. Y. (1996). Anchoring Data Quality Dimensions in Ontological Foundations. Communications of the ACM, 39(11), 86-95. Xu, D., Stelmaszak, M., & Aaltonen, A. (2025). What is Changing the Game in Data Research? Insights from the “Innovating in Data-based Reality” Professional Development Workshop. Communications of the Association for Information Systems, 56(8), 194-208. Kent, W. (1978). Data and Reality. North-Holland. Hirschheim, R., Klein, H. K., & Lyytinen, K. (1995). Information Systems Development and Data Modeling: Conceptual and Philosophical Foundations. Cambridge University Press. Goodhue, D. L., Wybo, M. D., & Kirsch, L. J. (1992). The Impact of Data Integration on the Costs and Benefits of Information Systems. MIS Quarterly, 16(3), 239-311. Aaltonen, A., & Stelmaszak, M. (2024). Data Innovation Lens: A New Way to Approach Data Design as Value Creation. SSRN, . Recker, J., Indulska, M., Green, P., Burton-Jones, A., & Weber, R. (2019). Information Systems as Representations: A Review of the Theory and Evidence. Journal of the Association for Information Systems, 20(6), 735-786. Bowker, G. C., & Star, S. L. (1999). Sorting Things Out: Classification and Its Consequences. MIT Press. Baudrillard, J. (1981). Simulacra and Simulation. University of Michigan Press. Harari, Y. N. (2024). Nexus: A Brief History of Information Networks from the Stone Age to AI. Random House. Wittgenstein, L. (1953). Philosophical Investigations. Basil Blackwell. Stelmaszak, M., Wagner, E., & DuPont, N. N. (2024). Recognition in Personal Data: Data Warping, Recognition Concessions, and Social Justice. MIS Quarterly, 48(4), 1611-1636. Aaltonen, A., Stelmaszak, M., & Lyytinen, K. (Eds.). (2026). Research Handbook on Digital Data: Interdisciplinary Perspectives. Edward Elgar Publishing. 

Traditional AR and AP finance is no longer enough. With evolving disclosure requirements, tariff pressures, and increasing supplier expectations, treasurers must deliver liquidity and visibility with fewer resources while managing heavier supplier demands. In this episode, Sean VanGundy and Jeremy Reedus join Craig Jeffery from Strategic Treasurer and Michel Abranches from Monkey Tech (Money is Key) to explore how working capital 2.0 helps treasurers move beyond one-size-fits-all programs. They discuss how hybrid approaches, such as auction-based supplier financing for lower rates alongside automated dynamic discounting, can optimize AR and AP, strengthen supplier adoption, and deliver measurable EBITDA impact. The conversation also highlights how real-time visibility gives treasurers a true decision cockpit and how removing the lift of supplier onboarding and support enables higher participation and improved governance. https://www.monkeytech.com/

Most founders are saving time with AI, but few are actually making money with it. In this episode, Juan Montero of Flowgrama reveals how bootstrappers can build practical AI agents and automations that actually drive revenue. LINKS Juan's AI Automation Business: Flowgrama (http://flowgrama.com/) Contact Juan (mailto:juanra@flowgrama.com) Share your thoughts about the podcast (takes 2 mins) (https://getperspective.ai/interview/tmba-feedback) This week's sponsor: SPP.co “Your billing, onboarding & projects in one client portal” (https://spp.co/) This week's sponsor: Smash Digital “Scale your organic traffic with future-proof strategies” (https://smashdigital.com/) Connect with 6-, 7- & 8-figure founders in person and online (https://dynamitecircle.com/) Hang out exclusively with 7+ figure founders and join us in NYC this December (https://dynamitecircle.com/dc-black) 22 FREE business resources for location-independent entrepreneurs (https://tropicalmba.com/resources) CHAPTERS (00:00:51) This Week's Guest: Juan Montero of Flowgrama (00:03:07) Discovering the Power of Automation (00:06:32) How LLMs Changed the Game (00:09:35) The Truth About AI and Job Security (00:14:31) Understanding AI Agents vs. LLMs (00:17:42) APIs: The Backbone of Automation (00:19:29) The Founder's AI Toolkit (00:24:33) Making Money with Social Automation (00:27:00) How to Avoid Getting Banned on LinkedIn (00:35:38) Using AI Agents for Business Intelligence (00:38:28) Building an HR Agent for Your Team (00:45:44) The Future of CRM Is Custom-Built (00:49:42) Founders Who Are Actually Making Money with AI CONNECT: Dan@tropicalmba.com Ian@tropicalmba.com Past guests on TMBA include Cal Newport, David Heinemeier Hannson, Seth Godin, Ricardo Semler, Noah Kagan, Rob Walling, Jay Clouse, Einar Vollset, Sam Dogan, Gino Wickam, James Clear, Jodie Cook, Mark Webster, Steph Smith, Taylor Pearson, Justin Tan, Matt Gartland, Ayman Al-Abdullah, Lucy Bella. PLAYLIST: $400K in Points & 100% Vibe Coded Shopify Forecasting App with “SpyGuy” Allen Walton (https://tropicalmba.com/episodes/400k-in-points-vibe-coded-app) Why Founders Shouldn't Delegate AI (Barcelona Recap) (https://tropicalmba.com/episodes/why-founders-should-not-delegate-ai) How to Get Rich on X With a Fake Persona (https://tropicalmba.com/episodes/get-rich-fake-persona)

This episode explores how treasury teams can unlock the full value of their data. Paul Galloway breaks down key challenges like integration and trust, covers tools from TMS platforms to AI and APIs, and discusses forecasting models. Learn how to build a stronger data architecture and use forecasting techniques that improve visibility and decision-making across the organization.    

It's raining, it's pouring, what vital business intelligence are you ignoring? The next explosive area of business opportunity and risk may well be weather forecasting.  The opportunity will accrue to those owners and entrepreneurs who understand that a new era of meteorology has dawned and view weather forecasting as an inextricable form of business intelligence. The risk is that myopic executives may cling to the mistaken notion that weather forecasts — “notoriously inaccurate” — are only about what to wear, how the morning commute might be impacted, and if they should bring along an umbrella when the go outside. In his new book, Cloud Warriors: Deadly Storms, Climate Chaos―and the Pioneers Creating a Revolution in Weather Forecasting, veteran journalist Thomas E. “Tom” Weber debunks two prevalent myths: 1.) That weather forecasts are frequently way off, and 2.) That the weather doesn't have an impact on almost every company, directly or indirectly. Tom is the former executive editor at TIME who oversaw the magazine's cover stories and feature journalism. Earlier in his career, he served as a technology reporter, columnist, and bureau chief at The Wall Street Journal. Powered by artificial intelligence, machine learning, and the internet of things, weather forecasting — even micro forecasts confined to small geographic areas — has become vastly more accurate. Importantly, better forecasting saves lives by correctly predicting threatening hurricanes, tornadoes, wildfires, and floods well in advance and preventing catastrophic damage to vital infrastructure. Savvy companies — big and small — are already investing in weather intelligence, and the imperative for those who have yet to get on board will only grow in the years ahead. [Be sure to visit Tom Weber's website here.] Monday Morning Radio is hosted by the father-son duo of Dean and Maxwell Rotbart. Photo: Thomas E. Weber, Cloud Warriors: Deadly Storms, Climate Chaos―and the Pioneers Creating a Revolution in Weather ForecastingPosted: October 6,, 2025 Monday Morning Run Time: 1 hour and 3 minutes Episode: 14.18 POPULAR EPISODES: Bulk Up Your Business Muscles with These Proven Retail Strategies Discover the Unlimited Power of Mastering Intentions: How You Can Transform Your Professional and Personal Life Marcy Syms Shares the Legacy and Lessons of Her Family's Pioneering Fashion Chain

In this 5 in 5 episode of The H-Files, we break down five key takeaways from my conversation with Jason Bryll, Founder of Parable Healthcare — all in under five minutes.Jason explains why relying on gut feel in healthcare businesses is like using a hammer when a power drill is sitting right next to you. We dive into:Why data culture matters more than dashboards.How visualisation leads to better questions and better decisions.Practical ways SMEs can start with BI without breaking the bank.Real examples where BI accelerated growth.What the future looks like with AI and predictive analytics.Actions you can take right now: Audit how your business currently makes decisions — is it gut feel or data-driven? Start small: choose one area to visualise and track consistently. Invest in building data culture, not just tools.Whether you're in medtech, healthcare services, or scaling an SME, this episode shows you how to use business intelligence as a growth accelerator. Listen now on Spotify, YouTube, or wherever you get your podcasts.#HealthcareGrowth #BusinessIntelligence #MedTech #HFfiles