Podcasts about Data literacy

In this episode, I talk with Amanda Makulec about what it really takes to design dashboards and data products that people can understand and use. We dig into why so many dashboards fail, how designers and analysts often misjudge their audiences, and what it means to take a truly human-centered approach to data visualization. Amanda shares insights from her work leading the Data Visualization Society and from her book, including practical ways to think about context, cognition, and decision-making. We also discuss common misconceptions about dashboards, stakeholder expectations, and the gap between technical correctness and real-world usefulness. This conversation is packed with ideas for anyone building data tools meant to inform decisions, not just look impressive.Subscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthPick up the new book, Dashboards That Deliver.Follow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Send a textAre you hiring for "culture fit" or for outcomes? In 2026, that distinction will determine if your Salesforce team sinks or swims.Most hiring managers are falling into the "Mirror-tocracy" trap—hiring people just like them instead of the talent they actually need. In Part 2 of our ecosystem outlook, Josh Matthews and Scott Stafford reveal why "gut feel" is a career-killer and how the hiring landscape has shifted.If you want to build a high-performing team that can actually orchestrate AI, you have to change how you interview.In this episode:The 20% Rule: Why paying more for "Orchestrators" saves you $100k in the long run.The Live Prompt Test: A simple, 2-minute tactical test to see if a candidate is faking their AI skills.Data Literacy vs. AI: Why your AI will break if your new hire doesn't understand data relevance.The Tom Graber Story: How a "weird" first impression led to one of the best hires in Josh's 35-year career.Merit vs. Familiarity: Practical steps to override your brain's hiring bias.Featured Opportunity: We are currently hiring for a Salesforce Marketing/Data Cloud Pro (Chicago/Hybrid). View details at thesalesforcerecruiter.com.Connect with the Show:YouTube: Joshforce ChannelWeb: thesalesforcerecruiter.com

Regulierung als Chance? Hersteller vernetzter Geräte müssen durch den EU Data Act Dateninventare bereitstellen – ein Aufwand, der erstmal Frust erzeugt. Sven Johann und Stefan Negele sprechen im INNOQ Podcast darüber, warum Schwierigkeiten beim Erstellen solcher Inventare oft auf grundlegende Probleme im eigenen Datenhaushalt hinweisen. Es geht um moderne Datenarchitekturen, Data Contracts, Data Literacy und die Frage, wie Unternehmen die Regulierung als Anstoß nutzen können, ihre Datenorganisation grundsätzlich zu verbessern.

In this episode, we share a webinar hosted by Progress about data and AI readiness. Here is the webinar description:In today's business landscape, data is your most powerful asset, but only if it's accessible, digestible and ready for implementation. Progress recently surveyed enterprise leaders to understand the state of data readiness, uncovering critical insights across four key areas.In this on-demand webinar, you'll hear David Loshin, Data and Information expert from Knowledge Integrity, Inc., dive deeper into the findings from Progress' latest report. The report results highlight that while many organizations recognize the potential of AI, data challenges are still a major barrier.   You'll leave the webinar with key takeaways around topics like these:Data Literacy & Accessibility: Are teams able to find and use the data they need?Business Initiative Support: How well does your data landscape enable innovation and growth?Data Readiness for AI: Is your data prepared to fuel AI and advanced analytics initiatives?Data Governance & Risk Management: Are proper controls in place to facilitate  compliant, trustworthy AI outcomes?You can download the full report here: https://www.progress.com/resources/papers/data-trends 

Emily Coleman, Co-Founder and CEO of a higher education data analytics company, shares how colleges can prepare students for the jobs of 2042. She explains how predictive modeling informs enrollment, retention, and student success, why adaptability is critical in higher education, and how alternative degree models and data literacy can future-proof graduates.Learn practical insights on using data, nimble strategies, and innovative learning models to help students—and institutions—thrive. Connect with Emily at haianalytics.com or on LinkedIn @EmilyColeman.Show Notes[00:26] Introducing Emily ColemanEmily Coleman is the Co-Founder and CEO of a data analytics company serving higher education. With over 23 years in the field, she and her team build predictive models for “admit-to-enroll yields, retention, and student success,” helping institutions make more informed decisions.[01:04] Preparing Students for 2042 JobsEmily notes that while data science and AI programs are important, the larger issue for colleges and universities is adaptability. She explains that higher education struggles to “shift strategy around to meet new needs” due to its structure—tenured faculty, physical campuses, and long-standing systems. Institutions that learn how to be more nimble, she says, will be the ones that succeed.[02:18] Why Data-Driven Decision Making MattersEmily reflects on how far higher education has come, explaining that when she started her career, a data-driven strategy wasn't widely embraced. Today, “almost every job has some sort of data component,” even if individuals aren't directly working with the data themselves.[03:37] Predictive Modeling in Higher EducationShe describes how universities rely on predictive modeling to support enrollment goals that go beyond headcount and revenue. Schools use data to balance program needs, geographic and ethnic diversity, and limited financial aid—while also examining retention and student satisfaction. Data, she says, now works alongside experience and intuition to confirm or challenge assumptions.[03:54] Data Literacy and Job ReadinessEmily explains that most students now graduate with some exposure to data or statistics. While not every career requires great technical skills, she believes understanding how data informs decisions helps graduates be “better off” in a workforce where data is used across industries.[05:03] Rethinking the Traditional Degree ModelAs more students question the value of a four-year residential degree, Emily emphasizes the need for alternative learning models. She points out that “everyone coming for four years” is no longer practical, especially for working adults, parents, and non-traditional students. Institutions that meet learners where they are will be more sustainable long-term.[06:34] Accelerated Degrees and Return on InvestmentEmily highlights the growing use of accelerated degree programs, noting that saving even a year of tuition can make a significant difference—while still keeping job outcomes and future-ready skills in focus.[09:07] Where to Learn MoreEmily invites listeners to connect with her on LinkedIn or visit her company's website at haianalytics.com to learn more about her work in higher education and data analytics.

Ich wünsche allen Hörer:innen noch ein gutes neues Jahr!    Achtung (Werbung in eigener Sache):  Jetzt mein neues Buch (in Co-Produktion mit Prof. Dr. Johanna Bath): "Die perfekte Employee Journey & Experience" kaufen (erschienen im Oktober 2025): Springer: https://link.springer.com/book/9783662714195 Amazon: https://bit.ly/44aajaP Thalia: https://www.thalia.de/shop/home/artikeldetails/A1074960417 Dieses Fachbuch stellt die wichtigsten Elemente der Employee Journey vor – vom Pre-Boarding bis zum Offboarding – und erläutert, wie Verantwortliche in Unternehmen eine gelungene Employee Experience realisieren und nachhaltig verankern können.   Mein Gast: Katharina Schulze  Katharina Schulze ist CEO und Mitgründerin des People-Analytics-Softwareanbieters beyobie ("Be your own BI expert") und eine der sichtbarsten Stimmen für strategische HR-Arbeit im deutschsprachigen Raum. Mit ihrem Unternehmen unterstützt sie HR-Abteilungen dabei, Daten aus verschiedenen Systemen nutzbar zu machen, um fundierte, strategische und wirksame People-Entscheidungen treffen zu können.  Darüber hinaus ist sie Gründerin und Host des Podcasts „HR Weekly", in dem sie regelmäßig mit HR-Leitungen, CHROs und People-&-Culture-Verantwortlichen über moderne HR-Arbeit, People Analytics und Führung spricht. Zusätzlich schreibt sie als Kolumnistin für das Fachmagazin „Personalwirtschaft" über People Analytics, HR-Strategie und Data Literacy im HR. Und genau darüber sprechen wir heute.   Thema Mit Katharina Schulze habe ich In der GainTalents-Podcastfolge 433 über HR Analytics gesprochen. In diesem Kontext haben wir uns auch über den Einfluss von aussagekräftigen HR-Kennzahlen und -KPI hinsichtlich der Wirksamkeit von HR in Unternehmen unterhalten. Viel Spaß beim Reinhören!    Warum ist HR-Analytics wichtig? Sichtbarkeit von HR muss optimiert werden Zentrale Frage: welchen ROI leistet HR für das Unternehmen? HR muss die Business Language verstehen und selbst anwenden! Dafür sind aussagekräftige und gut aufbereitete Kennzahlen und KPI notwendig, um datengestützte Entscheidungen zu treiben Einzelne Kennzahlen und KPi reichen nicht aus: Unterstützen bzw. Reflektieren die Kennzahlen/KPI die Strategie des Unternehmens Interpretation der Kennzahlen muss mitgeliefert werden Ex-Post-Analysen vs. Zukunftsplanung (Forecasting) In Zusammenhang mit Unternehmensbereichen / Zielgruppenanalysen (z.B. Krankheitsstand) Was ist notwendig, um das Thema HR-Analytics auf eine performante Basis zu bringen? Make or Buy muss entschieden werden (Systeme, Menschen in der Organisation vs. Outsourcing, etc.)  wieviel Zeit und Budget hat das Unternehmen, bzw. erhält der HR-Bereich (Start-up/Scale-up-Mode?)? Systementscheidung: Standard SaaS-Tool vs. Individualentwicklung, Einsatz von KI Achtung bei KI (Datenschutz und Datenhosting beachten!) Datenlandschaft muss gut aufbereitet werden (gute Datenqualität sicherstellen, unterschiedliche Datenquellen zusammenbringen, Schnittstellen beachten, Nomenklaturen anpassen, etc.) Ownership für Aufbau und Implementierung liegt bei der HR (bitte immer in Abstimmung mit der IT!)! Idealerweise laufen sämtliche HR-Daten in Dashboards zusammen und liefern aussagefähige Grafiken und Kennzahlen (nach Zielgruppen bzw. User differenziert dargestellt)   #HRLeadership #PeopleAnalytics #HRStrategy #beyobie #HRWeekly #DataDrivenHR #HRSichtbarkeit #GainTalentsPodcast    Shownotes Links - Katharina Schulze LinkedIn: https://www.linkedin.com/in/katharina-schulze/ Website (beyobie): https://www.beyobie.com/ Podcast „HR Weekly": https://open.spotify.com/show/56FxfCZ4C8cafgQ7tcazaX Kolumne (Personalwirtschaft): https://www.personalwirtschaft.de/ Links Hans-Heinz Wisotzky:  Website: https://www.gaintalents.com/podcast und https://www.gaintalents.com/blog Podcast: https://www.gaintalents.com/podcast Bücher: Neu (jetzt überall zu kaufen): Die perfekte Employee Journey und Experience https://link.springer.com/book/9783662714195   Erste Buch: Die perfekte Candidate Journey und Experience https://www.gaintalents.com/buch-die-perfekte-candidate-journey-und-experience   LinkedIn https://www.linkedin.com/in/hansheinzwisotzky/ LinkedIn https://www.linkedin.com/company/gaintalents XING https://www.xing.com/profile/HansHeinz_Wisotzky/cv Facebook https://www.facebook.com/GainTalents Instagram https://www.instagram.com/gain.talents/ Youtube https://bit.ly/2GnWMFg

Ich wünsche allen Hörer:innen noch ein gutes neues Jahr!    Achtung (Werbung in eigener Sache):  Jetzt mein neues Buch (in Co-Produktion mit Prof. Dr. Johanna Bath): "Die perfekte Employee Journey & Experience" kaufen (erschienen im Oktober 2025): Springer: https://link.springer.com/book/9783662714195 Amazon: https://bit.ly/44aajaP Thalia: https://www.thalia.de/shop/home/artikeldetails/A1074960417 Dieses Fachbuch stellt die wichtigsten Elemente der Employee Journey vor – vom Pre-Boarding bis zum Offboarding – und erläutert, wie Verantwortliche in Unternehmen eine gelungene Employee Experience realisieren und nachhaltig verankern können.   Mein Gast: Katharina Schulze  Katharina Schulze ist CEO und Mitgründerin des People-Analytics-Softwareanbieters beyobie ("Be your own BI expert") und eine der sichtbarsten Stimmen für strategische HR-Arbeit im deutschsprachigen Raum. Mit ihrem Unternehmen unterstützt sie HR-Abteilungen dabei, Daten aus verschiedenen Systemen nutzbar zu machen, um fundierte, strategische und wirksame People-Entscheidungen treffen zu können.  Darüber hinaus ist sie Gründerin und Host des Podcasts „HR Weekly", in dem sie regelmäßig mit HR-Leitungen, CHROs und People-&-Culture-Verantwortlichen über moderne HR-Arbeit, People Analytics und Führung spricht. Zusätzlich schreibt sie als Kolumnistin für das Fachmagazin „Personalwirtschaft" über People Analytics, HR-Strategie und Data Literacy im HR. Und genau darüber sprechen wir heute.   Thema Mit Katharina Schulze habe ich In der GainTalents-Podcastfolge 433 über HR Analytics gesprochen. In diesem Kontext haben wir uns auch über den Einfluss von aussagekräftigen HR-Kennzahlen und -KPI hinsichtlich der Wirksamkeit von HR in Unternehmen unterhalten. Viel Spaß beim Reinhören!    Warum ist HR-Analytics wichtig? Sichtbarkeit von HR muss optimiert werden Zentrale Frage: welchen ROI leistet HR für das Unternehmen? HR muss die Business Language verstehen und selbst anwenden! Dafür sind aussagekräftige und gut aufbereitete Kennzahlen und KPI notwendig, um datengestützte Entscheidungen zu treiben Einzelne Kennzahlen und KPi reichen nicht aus: Unterstützen bzw. Reflektieren die Kennzahlen/KPI die Strategie des Unternehmens Interpretation der Kennzahlen muss mitgeliefert werden Ex-Post-Analysen vs. Zukunftsplanung (Forecasting) In Zusammenhang mit Unternehmensbereichen / Zielgruppenanalysen (z.B. Krankheitsstand) Was ist notwendig, um das Thema HR-Analytics auf eine performante Basis zu bringen? Make or Buy muss entschieden werden (Systeme, Menschen in der Organisation vs. Outsourcing, etc.)  wieviel Zeit und Budget hat das Unternehmen, bzw. erhält der HR-Bereich (Start-up/Scale-up-Mode?)? Systementscheidung: Standard SaaS-Tool vs. Individualentwicklung, Einsatz von KI Achtung bei KI (Datenschutz und Datenhosting beachten!) Datenlandschaft muss gut aufbereitet werden (gute Datenqualität sicherstellen, unterschiedliche Datenquellen zusammenbringen, Schnittstellen beachten, Nomenklaturen anpassen, etc.) Ownership für Aufbau und Implementierung liegt bei der HR (bitte immer in Abstimmung mit der IT!)! Idealerweise laufen sämtliche HR-Daten in Dashboards zusammen und liefern aussagefähige Grafiken und Kennzahlen (nach Zielgruppen bzw. User differenziert dargestellt)   #HRLeadership #PeopleAnalytics #HRStrategy #beyobie #HRWeekly #DataDrivenHR #HRSichtbarkeit #GainTalentsPodcast    Shownotes Links - Katharina Schulze LinkedIn: https://www.linkedin.com/in/katharina-schulze/ Website (beyobie): https://www.beyobie.com/ Podcast „HR Weekly": https://open.spotify.com/show/56FxfCZ4C8cafgQ7tcazaX Kolumne (Personalwirtschaft): https://www.personalwirtschaft.de/ Links Hans-Heinz Wisotzky:  Website: https://www.gaintalents.com/podcast und https://www.gaintalents.com/blog Podcast: https://www.gaintalents.com/podcast Bücher: Neu (jetzt überall zu kaufen): Die perfekte Employee Journey und Experience https://link.springer.com/book/9783662714195   Erste Buch: Die perfekte Candidate Journey und Experience https://www.gaintalents.com/buch-die-perfekte-candidate-journey-und-experience   LinkedIn https://www.linkedin.com/in/hansheinzwisotzky/ LinkedIn https://www.linkedin.com/company/gaintalents XING https://www.xing.com/profile/HansHeinz_Wisotzky/cv Facebook https://www.facebook.com/GainTalents Instagram https://www.instagram.com/gain.talents/ Youtube https://bit.ly/2GnWMFg

Was braucht es, um eine datengetriebene Organisation wirklich zu bauen – nicht nur als Buzzword? In dieser Folge spricht Jonas Rashedi mit Marc Roulet von sevDesk, VP Data & Analytics, über den Weg zu echter Data-DNA. Marc berichtet, wie er bei sevDesk eine zentrale Data-Organisation mit über 20 Mitarbeitenden aufgebaut hat, wie Analytics, Engineering und Data Science eng verzahnt zusammenarbeiten – und welche sechs strategischen Säulen sie dafür definiert haben: von Infrastruktur über Insights bis Literacy. Besonders spannend: Wie sich die Rolle verändert hat – von einer Finance-getriebenen Supportfunktion hin zur CEO-nahen Strategieinstanz. Und was passiert, wenn man einfach mal zwei Data Lakes zu viel hat… MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Du möchtest gezielt Werbung im Podcast MY DATA IS BETTER THAN YOURS schalten? Zum Kontaktformular: https://2frg6t.share-eu1.hsforms.com/2ugV0DR-wTX-mVZrX6BWtxg Zum LinkedIn-Profil von Marc: https://www.linkedin.com/in/marc-roulet-data/ Zur Homepage von sevdesk: https://sevdesk.de/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi 00:00 Vorstellung & Einstieg 06:00 Von eBay zu sevDesk – Marcs Werdegang 12:00 Was macht sevDesk & wie datengetrieben ist das Produkt? 20:00 Data-Strategie: 6 Säulen für die DNA 28:00 Kultur, Matrix & Teamaufbau 36:00 AI, Data Literacy & MLOps 44:00 Reporting, KPIs & Managementstruktur 52:00 Data Circle & Zusammenarbeit in der Breite

„Ich kann jetzt keine Datenkultur aufbauen, die der Unternehmenskultur entgegenwirkt.“

"I always say, you can't learn how to swim if you don't jump into the water. And it's so important for people to be able to jump into the water and to really test it out."

Als Gäste mit dabei:

"There is no AI without data. And if you want to build something that is great in AI, you should base it on something that is great in data."

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.

Nursing leaders have access to more data than ever, but the challenge lies in using it meaningfully. Join us for this second episode of “Data Literacy for Nurse Leaders,” where Dr. Michelle Hamland and Meagan Mangus from the HIMSS Nursing Informatics Committee discuss how nurse leaders can turn data into action with the HIMSS Data Literacy for Nurse Leaders Toolkit. 

In dieser Episode spricht Carsten mit Andreas Wiener über sein neues Buch „AI or Die" – sein letztes Buch zusammen mit Kai-Uwe Stahl zum Thema Dashboarding und Visualisierung.

Displays, WLAN und KI – wer in den letzten Jahren ein modernes Miele-Gerät bedient hat, weiß, wie viel sich bei dem Traditionsunternehmen in Sachen Digitalisierung tut. Doch nicht nur die Produkte verändern sich, auch intern gibt es bei Miele bedeutende Transformationen. Dabei spielen die verstärkte Nutzung von Daten und KI eine große Rolle. In dieser Folge von TDWI Data Universe sprechen wir über den Aufbau der Miele Data & AI Academy und wie das Unternehmen es schafft, Datenkompetenz nicht als Buzzword, sondern als Kultur zu leben. Zu Gast sind Claudia und Robert, die erzählen, wie Miele Daten über alle Bereiche hinweg nutzbar macht: von Produktentwicklung über Logistik bis hin zum Kundenerlebnis. Und wie Data Literacy dabei hilft, aus Daten echten Mehrwert zu schaffen – für Menschen, Produkte und Prozesse.

Discover how Alteryx SparkED is transforming accounting education in this episode of the Alter Everything Podcast. Guest host Eric Roy interviews professors Ashley Davis (University of Oklahoma) and Ahmet Kurt (Bentley University) about integrating Alteryx into their accounting curricula. Learn how data analytics, automation, and low-code tools are preparing students for the future of accounting. Hear real-world stories of students landing jobs with Alteryx skills, practical tips for educators, and the impact of AI and automation on the profession. Panelists: Eric Roy, Sr. Instructional Program Manager @ Alteryx - @ericroy, LinkedInAshley Davis, Associate Professor of Accounting @ University of Oklahoma - @adavis1, LinkedInAhmet Kurt, Associate Professor of Accounting @ Bentley University - @Ahmet_Kurt, LinkedInShow notes: Alteryx SparkED ProgramAlteryx Community Learning Paths and TutorialsAlteryx Certification Exam 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.

"The value isn't in giving them the coffee beans and hoping they take that away and make a cup of coffee – what they need is a drink. So instead of giving them the data, do the extra steps and pull out the insights for them." - Satvinder Panesar, Data and Analytics Strategy Director, AstraZeneca Procurement leaders are surrounded by data, but turning numbers into true business impact is a new kind of challenge.  As AI and analytics tools promise even more information, the real differentiator is knowing how to interpret, validate, and act on those outputs… before your competitors do. Satvinder Panesar, Data and Analytics Strategy Director at AstraZeneca, joined Philip Ideson at ProcureTEX in London. Philip was there at the invitation of Beroe to speak with some of their customers about turning data into actionable insights. In this conversation, Sat breaks down the evolution of procurement analytics, explains why data literacy is a must-have skill, and points out how any leader or team can begin building those muscles, starting with the tools they already have. Expect a practical, honest conversation about the skills gap, the dangers of outsourcing data thinking, and how procurement teams can take charge in a world of increasingly complex analytics: Why "insights" matter more than raw data in procurement How to bridge gaps between data, category, and analytics teams  Practical first steps to improve procurement data literacy What AI can (and can't) do for procurement professionals Links: Satvinder Panesar on LinkedIn AOP Provider Directory: Beroe Subscribe to This Week in Procurement Subscribe to Art of Procurement on YouTube  

Wie gut ist Deutschland wirklich aufgestellt, wenn es um Data Literacy geht? Warum ist Datenkompetenz längst mehr als ein Spezialthema für Analysten – und was bedeutet sie konkret für Unternehmen, Verwaltung und Gesellschaft? Darüber spricht Host Jonas Rashedi mit Katharina Schueller, Gründerin und CEO von STAT-UP. Sie arbeitet seit über 22 Jahren im Bereich Statistik und Datenanalyse und leitet heute eine internationale IEEE-Arbeitsgruppe, die globale Standards für Data & AI Literacy entwickelt. Im Gespräch geht es zunächst um die Entwicklung der letzten zwei Jahrzehnte – vom datengetriebenen Nischenthema hin zu einem kulturellen Kern der Digitalisierung. Katharina erklärt, warum Unternehmen sich zu lange auf Effizienz und Automatisierung konzentriert haben und jetzt den Schritt hin zu echter Effektivität und Verantwortung gehen müssen. Ein Highlight ist ihr Beispiel aus der Automobilbranche, wo aus einem konkreten Use Case zur Tachomanipulation plötzlich ein ganz neues datenbasiertes Geschäftsmodell entstand. Von dort aus spannt sich der Bogen hin zu den großen Fragen: Wie misst man eigentlich Datenqualität? Welche Rolle spielt Kontext beim Interpretieren von Ergebnissen? Und wie kann man mit der „zirkulären Datenkompetenz“ sicherstellen, dass Datenverständnis nicht nur in der IT, sondern in allen Fachbereichen ankommt? Besonders eindrucksvoll: Katharina erzählt von einem Forschungsprojekt mit dem Zoll, bei dem es nicht um Technologie, sondern um Vertrauen, Praxis und Augenhöhe ging. Dort zeigt sich, dass Data Literacy nicht gelehrt, sondern gemeinsam gelebt werden muss – und dass Offenheit oft wirksamer ist als jede Schulung. Zum Schluss sprechen Jonas und Katharina über Ethik, Verantwortung und die Grenzen der Erklärbarkeit von KI. Denn Transparenz bedeutet immer auch, Macht zu teilen – und genau das macht echte Aufklärung aus. MY DATA IS BETTER THAN YOURS ist ein Projekt von BETTER THAN YOURS, der Marke für richtig gute Podcasts. Zum LinkedIn-Profil von Katharina: https://www.linkedin.com/in/schuellerstats/ Zur Webseite von STAT-UP: https://www.linkedin.com/company/stat-up/ Zu allen wichtigen Links rund um Jonas und den Podcast: https://linktr.ee/jonas.rashedi

In dieser Folge geht es um das Zusammenspiel unterschiedlicher Datenquellen und Analysemethoden, den sogenannten Mixed Mode Analytics. Wir zeigen, was es dazu braucht und, wie Congstar mit diesem Vorgehen bessere Entscheidungen im CX Management trifft.▿ Alle Links und mehr Informationen findest du auf der Website www.cx-talks.com und in den ►Shownotes auf Spotify (Abonnenten des Podcasts), Apple ("Website der Episode"), alternativ auf https://cx-talks.podigee.io

In this live SocialNext: Toronto 2025 conversation, guest host Maddie Alvarez sits down with Charlie Grinnell, digital leader turned co-CEO of research startup Right Metric (ex-Red Bull, Aritzia, adidas Terrex). Buckle up for sharp, candid takes on why language matters more than ever, how to separate opinions from evidence, and why the most effective strategies are often about reduction, not expansion. From buzzword bingo to AI's real role in decision-making, Charlie breaks down how to turn messy metrics into clear choices, without needing a stats degree.Opinions are the guest's own.

"Daten sind nicht nur ein Thema. Das war der Ausgangspunkt unserer Datenkultur. Heute sprechen wir jeden Tag über Daten, von der Basis bis zum Management. Das ist natürlich ein extrem großer kultureller Wandel."

In Episode 45, of Season 5 of Driven by Data: The Podcast, Catherine King takes the hot-seat as she hosts a live panel discussion alongside, Pete Williams, Director of Data at Penguin Random House and Greg Freeman, CEO & Founder at Data Literacy Academy, where they discuss how to allow your organisation to climb the data & AI literacy ladder, which includes;Why Data & AI literacy isn't about technical skills or tools.How practical implementation and belief in the value of literacy are still recent developments.How there are no decisions in modern business that are free of data.Why people don't use what they don't trust and they don't trust what they don't understand.Why literacy must address taught fears and cultural resistance.Why companies are still falling into the trap of thinking tools and tech will drive transformation.Why Generative AI is proving to be a Trojan Horse and the opportunity it provides for enterprise impact. Why literacy efforts need to go beyond 'tick-box' training to personalised, job-relevant learning that connects directly to business outcomes.Why you should track productivity improvements, promotion rates, and qualitative feedback from learners.How to use behavioural metrics and ROI-linked business initiatives to measure literacy impact.How you can create effective feedback loops from the frontline that are essential for iteration and broader...

In this week's episode of the show, I sit down with Justin Evans, author of The Little Book of Data, to talk about what it means to truly think like a data person. Justin shares insights from his 20-year career in data and advertising, reflecting on why so many professionals struggle to embrace data and how his book helps break down those barriers. We discuss the “four layers of data denial,” the qualities that make someone a data person, and the importance of storytelling in making data engaging and useful. Justin also offers stories from Nielsen, Samsung, and beyond to illustrate how data literacy and visualization can create clarity, solve problems, and unlock value. This conversation is both inspiring and practical for anyone working with—or intimidated by—data.Subscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out Justin's book, The Little Book of Data.Follow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

In this episode of the Contacts Coaching podcast, we sit down with James Jansen, the Associate Head Coach at Davidson College. Coach Jansen shares his fascinating journey from coaching youth basketball in Melbourne, Australia, to becoming an associate head coach in the United States. He discusses the differences between the Australian and American coaching landscapes, emphasizing the integrated club system in Australia that encourages young athletes' and coaches' development. The conversation touches on the nuances of multi-sport participation, the impact of the transfer portal and NIL on mid-major programs, and the importance of understanding both empirical data and practical knowledge in coaching. Coach Jansen also offers insights into rebounding metrics and efficiency that can help coaches at any level optimize their strategies. Tune in for an insightful episode packed with valuable takeaways for coaches, athletes, and sports enthusiasts.00:00 Introduction and Guest Welcome00:31 James Jansen's Coaching Journey04:41 Australian Youth Coaching Culture07:43 Challenges in US Youth Sports10:20 Pathways in Sports Development17:09 Multi-Sport vs. Specialization Debate24:19 Transitioning from Head Coach to Assistant25:44 Transitioning from Assistant to Head Coach27:39 Balancing University and Team Priorities30:16 Symbiotic Relationship Between Men's and Women's Programs33:56 Building a Successful Basketball Program37:08 Impact of Transfer Portal and NIL on College Sports39:58 Challenges and Strategies in Modern College Athletics43:55 Growth Mindset and Challenging Beliefs46:37 Data Literacy and Analytics in Sports49:45 Concluding Thoughts and Reflections

In this episode, Jeff Utecht, Tricia Friedman, and Dr. Curt Merlau discuss the transformative role of AI and data literacy in education and employment. They explore how Pivot, an AI-powered tool, helps unemployed individuals find better job opportunities and training. The conversation emphasizes the importance of data literacy for educators and the potential of AI to personalize learning and improve educational outcomes. They also highlight real-world applications of data in education and the need for teachers to embrace AI responsibly to prepare students for the future. Connect with our guest on LinkedIN: Vice President @ Resultant | EdD, Organizational Leadership and Learning Former Educator, Administrator, and now Consultant. Interoperability Nerd. AI Enthusiast Connect with the work Dr. Curt does. Chapters 00:00Introduction to Pivot and AI in Employment 02:15The Importance of Data and AI Literacy 06:27AI's Role in Education and Personalized Learning 10:08The Power of Data in Student Success 12:42Emerging Pathways and Career Opportunities 19:36Preparing Teachers for an AI-Driven Future   Connect with Jeff and Tricia on LinkedIN   Jeff:  https://www.linkedin.com/in/jeffutecht/     Tricia: https://www.linkedin.com/in/tricia-friedman/  

You have a problem. Your software subscriptions are seeing record signups but you're also losing people at an alarming rate. You've got investors breathing down your neck to grow your 2 year old SaaS company. Somethings missing, you just can't put your finger on it. You end up hiring a CX/UX Consultant, like our friend Nick Cawthon, Founder of Gauge, who joins us on this episode of The Longer Game. You find out you don't have the right feedback loops in place. Because of this, nobody is telling you your software functionality isn't quite what you thought it was. People like it but they're having to do manual work that should be intuitive in your design and your next new feature? They just don't need it. Listen in to hear how Nick handles these kinds of situations and why you always need to know where the closest coffee shop is. Grab your coffee, close your eyes, and enjoy the view.The Longer Game is a podcast focused on leaning into the trends and advancements in retail so brands see a clearer path to success across ALL channels. We're looking at retail in a whole new way, looking to better understand the future of retail. It's Retail Reimagined. Sharing hope about the future. No one channel can a business sustain. Go omni-channel.Like what you're hearing? Subscribe to our channel and make sure to click or tap the bell so you get notified whenever new episodes drop.Want to learn more about The Longer Game? Head over to https://thelongergame.com to read show notes, watch more episodes, or contact us.Follow us on LinkedIn: https://linkedin.com/company/thelongergameFollow us on Instagram: https://instagram.com/thelongergameFollow us on Facebook: https://facebook.com/thelongergameOur guest's Name is Nick Cawthon. Nick helps design teams stay ahead of the curve with their AI transformation. He has been curating self-assessments for UX & Design Teams at retrain.gauge.io, helping analyze industry trends and removing barriers to adoption. Nick founded Gauge in 2001 in the San Francisco Bay Area to help organizations with evidence-based strategy and product decisions. Clients have grown to include Electronic Arts, Genentech, Airbnb, Adobe, and many others. Nick is a professor in Data Literacy and Visualization in the Design Strategy MBA program at his alma mater, California College of the Arts. You can find them at...Website: https://gauge.io/Find them on LinkedIn: https://www.linkedin.com/in/nickcawthon-ux-digital-agency-product-design-leadership/Michael Maher, the host, would love to connect with you. Reach out to him at…Email: michael@thinkcartology.comLinkedIn: https://linkedin.com/in/immichaelmaherThis podcast is sponsored by Cartology and Podcastify Me.Cartology is a customized done-for-you service agency that helps brands accelerate growth and get profitable on the Amazon marketplace. They work directly with brands to create strategy and then go right out and execute it. Want to find out more?Website: https://thinkcartology.comFind Cartology on LinkedIn: https://linkedin.com/company/cartologyFind Cartology on Instagram: https://instagram.com/thinkcartologyFind Cartology on Facebook: https://facebook.com/thinkcartologyPodcastify Me is designed to help coaches of all kinds enter the podcasting space with minimal lift for them. And, inviting past, current and future clients to your show as part of your marketing and sales process sets you apart from your competition, in a time where podcasting is really gaining popularity.Website: https://podcastify.meFind Podcastify Me on LinkedIn: https://www.linkedin.com/company/podcastify-me/Find Podcastify Me on Instagram: https://www.instagram.com/podcastify.me/Find Podcastify Me on YouTube: https://www.youtube.com/channel/UCf2biqOTN2UbZ5aaM4Sx6NQ

In Episode 39, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Alex Sidgreaves, Chief Data Officer at Zurich Insurance, Indhira Mani, Chief Data Officer at RSA and Greg Freeman, CEO at Data Literacy Academy where they discuss how to successfully adopt AI inside organisations, which includes;Why AI adoption is a business transformation journey, not just a technical implementation.How aligning AI with core business priorities drives meaningful outcomes and stakeholder engagement.The importance of clearly defined use cases to avoid over-engineering and misaligned efforts.Why cross-functional collaboration between business, data, and IT is crucial for scalable success.How solid data foundations and governance underpin responsible and effective AI deployment.The importance of developing AI literacy across all levels to support confident and informed decision-making.Why focusing on business value and outcomes, not algorithms, helps demystify AI and gain broader support.How adjusting the language used around AI can make it more accessible and reduce resistance.The importance of embedding ethics and transparency from the outset of AI initiatives.Why mindset, culture, and change management are the true enablers, or blockers, of successful AI adoption.How leadership curiosity and openness accelerates cultural readiness for AI.The importance of managing expectations to prevent fatigue and maintain organisational trust in AI efforts.How continuous storytelling and iteration help build momentum and credibility throughout the AI...

In Episode 34, of Season 5 of Driven by Data: The Podcast, Kyle Winterbottom was re-joined by Malcolm Hawker, Chief Data Officer at Profisee, fresh off the publication of his new book 'The Data Hero Playbook' They discuss what prompted him to write the book and the insights from within it, how he kept witnessing the same issues and challenges while working at Gartner and the real reason he decided to leave! Malcolm dives into the challenges faced by data leaders, the importance of shifting from a mindset of limiting beliefs to one of growth and development, and the need for Data Leaders to take accountability. They discuss why concepts such as Data Culture, Data Literacy and 'Garbage In, Garbage Out' have become excuses and how delivering value solves all of those problems. Malcolm talks about how external forces often influence the perceptions and actions of data leaders and why accepting them has disempowered us.Thanks to our sponsor, Data Literacy Academy.Data Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data literacy first.At Data Literacy Academy, we don't just teach data skills. We empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. We're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that we offer. We embed a deep data culture shift through a transformative change management programme.We take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

In a competitive labor market, students graduating from high school need skills that can translate into meaningful careers. PREP KC is a leading K-12 education intermediary in the Kansas City region, bringing educators and industry professionals together to give students real-world learning opportunities and prepare them for in-demand careers.   Responding to increasing demand for data literacy across all industries, PREP-KC launched its Data in Action course in 2023 to give eighth-grade students early exposure to data analytics. It aims to prepare students for high-demand careers and develop their interest in math and science fields.    MDRC will conduct an evaluation to test whether this course can help boost academic achievement and whether more students will opt for a high school pathway in science, technology, engineering, or math.    In this episode, Leigh Parise talks with Doug Elmer, vice president of PREP KC and Zeest Haider, research associate at MDRC, to learn more about the program and the evaluation.

Was passiert eigentlich, wenn modernste KI auf einen der geheimnisvollsten Arbeitgeber Deutschlands trifft?

In this episode, Dale Harrison discusses the concept of 'zombie metrics' and their misleading nature in marketing. He emphasizes the importance of data literacy for marketers to gain credibility and make informed decisions. The conversation critiques the traditional funnel model, suggesting it is outdated and does not accurately represent the marketing process. Dale proposes a new way of thinking about marketing metrics, focusing on the impact of brand marketing and the often unreliable nature of intent data. Enjoy the show!Our guest:Dale HarrisonConsultant - Inforda Life Sciences Serviceshttps://www.linkedin.com/in/dalewharrison/Follow our updates here: ⁠⁠https://www.linkedin.com/company/sleeping-barber/⁠⁠https://www.sleepingbarber.caGet in touch with our hosts:Marc Binkley: ⁠⁠https://www.linkedin.com/in/marcbinkley/Vassilis Douros: ⁠⁠https://www.linkedin.com/in/vassilisdouros/⁠Chapters00:00 - Introduction02:12 - Understanding Zombie Metrics10:28 - The Importance of Data Literacy in Marketing12:21 - The Role of Financial Metrics in Marketing22:04 - The Funnel vs. Gumball Machine Model in Marketing26:41 - The Evolution of Sales Tactics29:21 - Understanding Marketing Models and Buyer Behaviour30:22 - The Role of Memory in Marketing32:36 - Measuring Marketing Effectiveness35:29 - The Impact of Brand Marketing37:51 - The Misconception of Intent in Marketing45:12 - The Limitations of Intent DataTakeawaysZombie metrics can mislead marketers and decision-makers.Data literacy is essential for credibility in marketing.The traditional funnel model is outdated and oversimplified.Marketing should focus on altering future buyer behaviour.Brand marketing has a lasting impact on consumer memory.Intent data is often unreliable and can lead to false assumptions.Marketers need to evaluate the metrics they use critically.Understanding contribution margin is crucial for marketing effectiveness.Effective marketing requires a balance of performance and brand strategies.The cost of acquiring customers is often exaggerated in marketing discussions.

In this solo episode, Cynozure CEO Jason Foster explores what it really means to create value with data and AI and why it can't be treated as a nice-to-have outcome at the end of a project. Jason breaks down a practical, repeatable approach to designing value in from the start, with clear intent, strong foundations, and input-focused delivery. He shares real-world examples and analogies to show how organisations can shift from vague goals to measurable, meaningful impact. This episode is packed with actionable insights for data and business leaders who want to move from theory to practice and ensure their data work truly makes a difference. -------------------------------- Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

Welcome to the Season 11 Finale of the PolicyViz Podcast! I'm ready for a summer break and am super excited to close the season talking with Shirly Wu—data visualization artist, technologist, and community thought leader. We talk about Shirley's journey from creating vibrant, web-based data visualizations to developing physical, multi-sensory data art. Shirley shares what she learned during her recent graduate studies in art and technology, her reflections on data, emotion, and the role of art, and the ideas behind her widely discussed blog series on the state of innovation in the data visualization field. We also discuss how the pandemic reshaped our community, the challenge of maintaining creative joy, and the importance of making space for both functional and expressive data storytelling. From Tokyo to San Francisco, Shirley's work bridges client projects and immersive art experiences, all grounded in data.Keywords: Shirley Wu, data visualization, data art, scrollytelling, innovation in dataviz, physical data experiences, emotional data storytelling, PolicyViz Podcast, post-pandemic data, visual storytelling, ITP NYU, creative data design, interdisciplinary art, Jon Schwabish, data literacy, local data engagement, experimental visualizationSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out Shirley's websiteFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Nach einer kurzen Frühlingspause melden sich Alois und Oliver mit einer Jam-Session zurück und widmen sich der Frage, wie Unternehmen – vom Start-up bis zum Weltkonzern – sowie Staaten eine praxisnahe KI-Strategie entwickeln und umsetzen können.Vom Buzzword zur WertschöpfungKI wird inflationär benutzt; echte Orientierung fehlt.Erster Schritt: konkrete Use-Cases in den eigenen Kernprozessen identifizieren, statt PowerPoint-Strategien zu schreiben oder externe Schablonen blind zu kopieren.Schnell ins Tun kommenArbeitskreise bremsen – lieber Sandbox-Ansätze nutzen und mit fertigen Toolchains experimentieren.Erfolg wird an harten Metriken gemessen: Durchlaufzeiten, Qualität, Kosten.Datenkompetenz & Compliance als FundamentAufbau von Data-Literacy und Klarheit über IP-relevante Daten.Recht, Datenschutz und Betriebsrat müssen mitgenommen werden, aber erst nach dem Use-Case-Proof, um Hürden nicht künstlich aufzublähen.Legacy als Chance statt LastAlte Systemlandschaften gleichen Jenga-Türmen – riskant, aber ersetzbar.KI ermöglicht Refactoring in Wochen statt Jahren und bietet Hidden Champions ein „Leapfrog“-Potenzial, Märkte zu disruptieren.Ressourcen & KulturwandelRiesige IT-Abteilungen müssen neu gedacht werden: Produktivität steigt x-fach durch KI-gestützte Entwicklung.Organisationen – bis hin zu Staaten – brauchen Tempo, Agilität und eine klare Haltung zu Responsible AI.IP neu definierenIn einer Welt generativer Modelle verlieren Source-Code-Monopole an Gewicht; Patente und Marktdurchdringung gewinnen relativ an Bedeutung.Globale Standardisierungsgremien suchen nach neuen Regeln für Urheberrecht und Patentschutz.FazitZaudern ist keine Option: Wer die Lernkurve verpasst, wird für Talente unattraktiv und verliert Wettbewerbsvorteile.Zugleich braucht es bewusste Grenzen („Wo setzen wir KI nicht ein?“), um Werte, Ethik und Unabhängigkeit zu sichern.

The Manufacturing Stream Podcast, your go-to source for insights into the latest in manufacturing technology and innovation.Hosted by Chris Rost, we're excited to bring you some of the best conversations in manufacturing - from the factory floor to the board room.This episode features manufacturing tech expert Willemijn Schneyder, as she reacts to some of the most profound takeaways from our 2025 Manufacturing Skills Report.We explore AI, Automation, and the needs of the frontline workforce across a number of roles in the manufacturing workforce.

Hey humans! Welcome back to part two of our data literacy series! In this episode, I continue my round table discussion with Jennifer Wright, Karen Brieger, and Kelly Oliver as we dive deeper into the practical aspects of HR data. We explore the critical importance of "clean data" - what it really means and why it matters so much. Kelly breaks down the three-phase framework of data engineering, data analysis, and data insights, explaining why you can't just jump straight to insights without proper preparation. Jennifer shares a powerful example about how software conversion challenges can create data issues, while Karen emphasizes the importance of basic data accuracy - from employee addresses to departmental coding. Our conversation also addresses the unique challenges faced by fractional HR leaders who need to quickly adapt to different organizational cultures and data preferences. As Karen explains, some clients want workshops and training while others just want quick data points without the deeper understanding. We discuss how to navigate these different environments while still delivering value. We also touch on the future of HR data and analytics with cautious optimism about AI's potential to help identify anomalies and patterns. There are still so many organizations still mastering the basics of data literacy. Enjoy part two of our data conversation! Stacie More episodes at StacieBaird.com. LinkedIn Pages for each of my guests: Jennifer Wright Karen Brieger Kelly Oliver

In this episode of the PolicyViz Podcast, I speak with Yanni Loukissas, an Associate Professor at Georgia Tech, about the importance of context in working with data. Yanni argues that data are not universal but local—shaped by their origins, environments, and the intentions of those who collect them. Our conversation dives into how this perspective challenges dominant narratives in data science, particularly the assumption that datasets are neutral or universally applicable. We also discuss how design and storytelling can play a role in exposing the situated nature of data and how educators and practitioners can better teach and communicate these ideas.Keywords: Yanni Loukissas, PolicyViz Podcast, data visualization, data context, data storytelling, situated data, data ethics, data science, data politics, Georgia Tech, Jon Schwabish, design and data, local data, neutral data myth, data literacy, communicating data, data education, critical data studies, data and power, podcast interviewSubscribe to the PolicyViz Podcast wherever you get your podcasts.Become a patron of the PolicyViz Podcast for as little as a buck a monthCheck out Yanni's website and read his book, All Data are LocalFollow me on Instagram, LinkedIn, Substack, Twitter, Website, YouTubeEmail: jon@policyviz.com

Hey humans! On this part one of a two part series, I had the pleasure of hosting a fantastic round table discussion with three amazing HR professionals - Jennifer Wright, Karen Brieger, and Kelly Oliver - where we dive into the world of data literacy in human resources. Each of my guests shared their unique HR journeys and how embracing data has been a game-changer in their careers.  We had a really honest conversation about how data literacy helps transform HR from being seen as just the "squishy people stuff" department to becoming a strategic business partner that directly impacts organizational success. You'll love hearing their personal stories - from Karen's boardroom moment that became her wake-up call, to Jennifer's transition from retail buying to HR leadership, and Kelly's perspective coming from sales operations into the people space, we explored how HR data directly connects to business outcomes when we know how to collect it, make sense of it, and present it effectively. We all shared some great real-world examples, and also talked about the importance of spreading data literacy beyond our HR teams to middle managers throughout our organizations, and the tech tools (like HR Bench) that have helped us all move from manual spreadsheets to more sophisticated analytics. Enjoy this part one and stay tuned next Tuesday for the follow up! Enjoy, Stacie More episodes at StacieBaird.com. LinkedIn Pages for each of my guests: Jennifer Wright Karen Brieger Kelly Oliver

AiDigiTales creator and AI for Kids podcast host Amber Ivey joins Greg Verdino and Geoff Livingston to discuss the significance of AI literacy for children, the role of data in AI, and how governments can use AI effectively. The conversation elaborated on the importance of educating children about AI, the practical challenges that governments face with data accuracy, and the future of AI in the public sector. Additionally, Amber shares her insights on creating an AI playground for government agencies and the significance of parental knowledge in guiding children through AI technologies. Amber, Geoff and Greg also discuss why it's harder for adults to get AI, and how DOGE is impacting state and local governments. Chapters 00:00 Intro 01:40 The Importance of AI Literacy for Kids 03:31 Challenges and Solutions in AI Education 09:39 AI in Government Work, Including Procurement Challenges 16:02 Navigating Federal and State AI Challenges in a DOGE Environment 19:21 The AI for Kids Podcast 26:49 Integrating AI Education into Schools 34:31 Pairing AI Education for Parents and Kids 37:55 Data Literacy and AI Governance You can listen to the AI for Kids podcast at https://aiforkids.buzzsprout.com; learn more about the AiDigiTales books, content, and courses at https://aidigitales.com/; contact Amber Ivey via LinkedIn (https://www.linkedin.com/in/amberivey/); and learn more about Social Finance here: https://socialfinance.org/. Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on The Audit Podcast, we're joined by Andrew Clark, Co-Founder and CTO of Monitaur.   In this episode, Andrew shares his unique perspective on agentic AI, challenging common assumptions about what AI agents actually are. He explores the marketing problem with AI and agents, why agents might not be what we think, and the governance challenges that come with them.   Be sure to connect with Andrew on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   3:48 - Using ChatGPT for Idea Generation 9:06 - Integrating Analytics into the Audit Process 16:12 - Navigating the Analytics Journey 22:04 - The Impact of Data Literacy 27:41 - SOX Automation 30:19 - Blockchain Trends in 2025 35:52 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.  

Why is data literacy and storytelling so important in product management? In this podcast hosted by Mark Bailes, Amplitude former VP of Product Ibrahim Bashir will be speaking on leveraging data literacy and storytelling in product management. As data availability and access have grown, the challenge has shifted to making sense of the data and taking effective action. Ibrahim shares insights on interpreting data, avoiding common biases, and using qualitative and quantitative insights to drive product decisions.

This week on The Audit Podcast, we're joined by Ishan Kunkur, Digital Analytics Program Manager at Delta Air Lines.   In this episode, Ishan shares how his team has embedded analytics into the audit process—from upskilling auditors with Power Query and Power BI training to automating SOX control testing, saving 360 hours annually. He explains how they evolved from performing analytics for audits to enabling auditors with data-driven tools, ultimately expanding into SOX automation and GRC dashboarding.   Additionally, we dive into the intersection of AI and blockchain, discussing how blockchain's immutable ledger can enhance AI models by ensuring data integrity. Ishan also shares his perspective on career growth in an AI-driven world, emphasizing adaptability and continuous learning.   Be sure to connect with Ishan on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes:   3:48 - Using ChatGPT for Idea Generation 9:06 - Integrating Analytics into the Audit Process 16:12 - Navigating the Analytics Journey 22:04 - The Impact of Data Literacy 27:41 - Animated Insights on SOX 30:19 - Blockchain Trends in 2025 35:52 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

Send us a textIn this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world.Show Notes & Chapter Markers:⏳ 2:25 – From SVP of Products to Data Learning Business

Send us a textIn this special replay episode of Making Data Simple, Al Martin sits down with Matt Cowell, CEO of QuantHub, to dive deep into data literacy, upskilling, and solving learning challenges. Matt shares his expertise on defining data fluency, the best ways to learn, and how organizations can close the data skill gap. From client use cases to leadership insights, this episode is packed with valuable takeaways for businesses and individuals navigating the data-driven world.Show Notes & Chapter Markers:⏳ 2:25 – From SVP of Products to Data Learning Business

Data is pouring into your business every second, but where are the insights you need to act on it? Just 27% of business executives in a recent Forrester study said their data and analytics projects produce actionable insights.  In this episode, we look at how AI can help bridge the gap between the overwhelming amounts of data available today and the actionable intelligence executives need to drive results. Knownwell CMO Courtney Baker, CEO David DeWolf, and Chief Product and Technology Officer Mohan Rao kick things off by breaking down the journey from raw data to wisdom. They discuss why 60-70% of enterprise data goes unanalyzed and how leaders can leverage AI to surface hidden insights, not just confirm what they already know. Plus, they explain why vision is critical: if you don't know what you're looking for, your AI won't either. For our expert interview, Pete Buer sits down with Arman Eshraghi, CEO of Qrvey, to discuss how SaaS companies can embed analytics into their products, empowering customers with self-serve insights. Arman shares practical advice for SaaS leaders on turning data into a competitive advantage, plus a sneak peek of Knownwell's own Mohan Rao's recent appearance on Arman's SaaS Scaled podcast. All of that PLUS another installment of AI in the Wild with Pete Buer. Pete and Courtney dive into OpenAI's new deep research tool—an AI agent that might actually live up to the hype, according to Casey Newton of Platformer. Learn why it could revolutionize market research and competitive analysis but why it's also best suited for those with a foundational understanding of the topic at hand. Want to turn your business data into clear, actionable insights? Visit knownwell.com to learn more about the Knownwell platform. Watch this episode on YouTube: https://youtu.be/gNEMu_uLvGE  Show Notes & Related Links Connect with Arman Eshraghi on LinkedIn Connect with David DeWolf on LinkedIn Connect with Courtney Baker on LinkedIn Connect with Mohan Rao on LinkedIn Connect with Pete Buer on LinkedIn Watch a guided Knownwell demo Read The Human Impact of Data Literacy from Accenture, which includes a number of stats cited in the episode Follow Knownwell on LinkedIn Tags: #AI #DataAnalytics #BusinessIntelligence #AIinBusiness #EmbeddedAnalytics #DataInsights #SaaS #AIforExecutives #CustomerInsights #DataStrategy #EnterpriseAI #OpenAI #DeepResearch #AIApplications #BusinessGrowth

In this episode of the Lights on Data show, hosts George and Diana welcome Jordan Morrow, often called the 'Godfather of Data Literacy,' for an insightful discussion. Jordan, a bestselling author and pioneer in data literacy programs, shares key insights from his latest book, Business 101 for the Data Professional. The episode explores the critical importance of data professionals understanding business needs and outcomes, effective communication strategies, the nuances of networking, and the significance of cultural awareness. Jordan also offers practical advice for data professionals to excel in their careers by mastering business strategy and its application to data-driven decision-making.

Join us in a chat with Collin Graves, CEO of North Labs, about building trust in data and accelerating cloud maturity. Learn how Collin's journey from the US Air Force to data analytics shaped his approach to helping organizations in manufacturing, healthcare, and education. Discover tips on starting small, creating solid data foundations, and tackling challenges like disparate systems and AI adoption. Perfect for leaders looking to enhance data literacy and drive long-term success.Panelists: Megan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInCollin Graves, Founder and CEO of North Labs - LinkedInShow notes: Analytics Maturity Assessment5 Steps to Improve Your Organization's Analytics Maturity 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 and Mike Cusic for the for our album artwork.

The Inside Economics hosts welcome Professor Alice Kassens to discuss her use of the Inside Economics podcast as a teaching tool at Roanoke College. Alice describes how the podcast inspires her students to learn about and debate the meaning of economic releases. After a quick round of the statistics game which Alice dominates, the group discusses the effects of a potential government shutdown on the economy and financial markets. Guest: Alice Louise Kassens, Professor of Economics at Roanoke College  More Cowbell: Using Inside Economics to Develop Data Literacy and Camaraderie (JET, 2024)Intemperate Spirits: Economic Adaptation During Prohibition (2019)Interested in joining Economic View: Real Time? Take a free trial todayThe Economic View-Real Time information service is the single web-based source that covers the global economy and financial markets around the clock. The service provides real-time analysis of key economic and financial market developments along with analysis of more than 250 economic releases. Economic View enables users to easily access data, analysis of economic events, trends and risks.Hosts: Mark Zandi – Chief Economist, Moody's Analytics, Cris deRitis – Deputy Chief Economist, Moody's Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody's AnalyticsFollow Mark Zandi on 'X' and BlueSky @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn