Podcasts about qlikview

Z tego filmu dowiesz się, jaki biznes otworzyć by był opłacalny, jak wyszukać pomysł dla młodych osób, jak znaleźć pomysł na biznes. Opowie o tym Joanna Mosur. #startup #biznes #pomysłnabiznes Spis Treści: 00:00 - Joanna Mosur - historia biznesowa 00:21 - Jak znaleźć pomysł na biznes? 02:00 - Jak sprawdzić czy pomysł, który mamy ma sens? 06:25 - Jak Joanna Mosur znalazła swój pomysł na biznes? Czym jest MasterMatch.Online? 09:09 - Co utrudnia rozpoczęcie przygody z własnym biznesem? 10:37 - Jakie przeszkody można napotkać otwierając swój biznes? 12:20 - Jakie wskazówki byś podpowiedziała osobie, która nie ma kontaktów biznesowych, a chciałaby otworzyć własną firmę? Gość

En este directo hemos charlado sobre cómo la disponibilidad de datos, las tecnologías de desarrollo Low Code/No Code y la Inteligencia Artificial han habilitado un escenario ideal para impulsar el éxito en diferentes ámbitos empresariales. Incluso sin contar con personal muy técnico. Haremos especial hincapié en el uso para People Analytics en Recursos Humanos. Para ello tenemos como invitados a Alejandra Ben y Eduardo Páez, dos experimentados profesionales que nos ayudarán a ver cómo estas herramientas han permitido a las empresas obtener una visión más clara y precisa de sus equipos, mejorar la toma de decisiones y optimizar el rendimiento. Enlaces mencionados y/o relacionados: data4all: https://data4all.es/ Power Automate: https://powerautomate.microsoft.com/ Power Platform de Microsoft: https://powerplatform.microsoft.com/es-es/ Microsoft Viva: https://www.microsoft.com/es-es/microsoft-viva Herramientas de visualización de datos: Power BI: https://powerbi.microsoft.com/es-es/ Tableau: https://www.tableau.com/ QlikView: https://www.qlik.com/ Herramientas de análisis de datos: Rapid Miner: https://rapidminer.com/ Knime Analytics Platform (Open Source): https://www.knime.com/

A Data Analyst's journey From SQL to Visualisation | Ankit Kotnala | #TGV263“Information is the oil of the 21st century, and analytics is the combustion engine.”~ Peter SondergaardTune into #TGV263 to get clarity on the above topic. Here are the timestamp-based pointers from Ankit Kotnala's conversation with Naveen Samala0:00:00 INTRODUCTION AND CONTEXT SETTING 0:02:30 Ankit's PROFESSIONAL JOURNEY AND THE TOP 3 THINGS THAT HELPED IN His/Her SUCCESS0:05:45 The role of a data analyst.0:06:45 Why data analyst role is important for any organization?0:08:30 Visualization techniques - sample charts based on the metrics or KPIs0:11:00 How to extract data from multiple sources…DBs, DWH, unstructured DBs, etc0:13:20 Tools available in the market, Qlikview, Power BI, Tableau, BO, etc.0:15:00 Getting started as a Data analyst - tools and tech to learn, etc.0:17:00 WITTY ANSWERS TO THE RAPID-FIRE QUESTIONS0:19:00 ONE PIECE OF ADVICE TO THOSE ASPIRING TO MAKE BIG IN THEIR CAREERS 0:20:30 TRIVIA ABOUT data using different sources ABOUT THE GUEST (In his words):As a Metrics & Reporting Specialist, I identify and integrate new datasets that can be leveraged through our product capabilities. I also work closely with the insights team to strategize and execute the development of data products. Connect with Ankit on LinkedIn:https://www.linkedin.com/in/ankitk2611/CONNECT WITH THE FOUNDERS ON LINKEDIN:Naveen Samala: https://www.linkedin.com/in/naveensamalaSudhakar Nagandla: https://www.linkedin.com/in/nvsudhakarFOLLOW ON TWITTER:@guidingvoice@naveensamala@s_nagandla Hosted on Acast. See acast.com/privacy for more information.

A "DATAcated" professional. Wearing many hats - Datawarehouse Solution Architect, Business Intelligence Analyst, Data Engineer,catering to the analytical needs of business users across a plethora of industries viz. Banking, Energy ,Infrastructure, Retail, Healthcare and Finance and geographies. In most of my endeavors clients provide the relevant data of their transactional systems and I then get cracking at building a high performance Data and Analytics engagement platform that helps them in a multitude of analytics use cases like target projection, business analysis and planning, aimed at achieving business goals - improvement of working capital, process specific gains and reduced manual effort. Specialties: Certified Azure Data Engineer, GCP Data Engineer, Oracle Certified BI Professional, Tableau Certified, Microsoft Power BI Certified, Qlikview, Celonis(Process Mining), AWS Developer Associate, Informatica, Alteryx and ODI developer and DAC Engineer. --- Send in a voice message: https://anchor.fm/stuti-gogia/message

Conor is an Experienced Managing Director with significant success in delivering personalized solutions from a wide technology portfolio.Currently leading the company through an exciting growth phase, helping Irish SMEs to manage core business processes by providing the most effective, flexible, Enterprise Resource Planning (ERP) software.Specialties: Data Mining, Data warehousing, business intelligence, Data analysing, Cost Analysing, Data Security, Data Loss Prevention, DLP, Payroll bureau, Qlikview, Payroll, Sage Accounts, Sage 50, Sage 200, Sage HR, Sage CRM, ACT, Software Development, Web Development, IT Requirements, Fantasy GAA, SQL, SQL Server, ASPX, .Net , Ajax, Obout, Cobol, See acast.com/privacy for privacy and opt-out information.

In der heutigen Folge lernst du Dr. Hannah Richta, Head of Data Science & Managerin Performance Analytics bei der DB Cargo in Frankfurt kennen. Wir sprechen über IT im Schienengüterverkehr und ETA-Prognosen (estimated time of arrival). Hannah erklärt euch darüber hinaus, wie man mit Mustererkennung Probleme im Güterverkehr aufdeckt und berichtet wie sie ihr Team in den letzten 4 Jahren aufgebaut hat. Zum Einsatz kommt dabei folgende Infrastruktur/ Frameworks/ Tools: AWS Cloud (serverless infrastructure), SageMaker (für Machine Learning), S3 (für den Data Lake) sowie QlikView und Tableau für Datenvisualisierung uvm. Mehr dazu im Interview. Viel Spaß dabei! Wenn auch du mithilfe von Data Science den Schienengüterverkehr revolutionieren möchtest, dann schaue jetzt vorbei auf karriere.deutschebahn.com, hier findest du spannende Positionen wie den Data Engineer (w/m/d) oder das Duale Studium im Bereich Wirtschaftsinformatik. Wenn du darüber hinaus noch Fragen an Hannah hast, findest du sie auf LinkedIn. Bei Fragen rund um die DB als Arbeitgeber stehe ich auch gerne zur Verfügung auf Xing, LinkedIn oder Twitter -> @Jan at DB /* Ich wünsche dir viel Spaß beim Hören und freue mich, wenn du mir eine Bewertung/ Feedback in deiner Podcast-App hinterlässt */

Karen runs the certification side at Qlik and she discusses the certification we deliver internally but primarily for partners. There are Qlik Sense and QlikView certifications available for many roles and its a standard employers are asking for. She also works part time for a cat rescue home fostering kittens before they get homed

matplotlib, Seaborn, Bokeh, D3, Tableau, Power BI, QlikView, Excel

There are lots of reporting options and I watch SQL Server move up the Gartner magic quantrant, I saw another reporting tool moving up as well--Qlik.  In this episode we will start by sharing information about Qlik, what it is and some background in the event it gets adopted at your company. Today we are delighted to have Michael Armentrout as our guest. Michael is a Microsoft SQL Server DBA as well as the developer of QlikView and we discuss the fundamentals of QlikView such as the associative model, in-memory, compression and sharing among others. Also we will hear from Michael the difference between QlikView and QlikSense, and some of the “competitors”. Michael share some of his thoughts on using the technology and how it is different from the traditional Microsoft stack.  We think you will find it interesting. The shownotes for today’s episode is found at http://sqldatapartners.com/2017/04/27/qlik/ and have fun on the SQL trail.

We tackle data visualization in its full technicolor glory! Kenneth, Kevin & Len are joined by Jeff Fletcher from IS Research & Innovation to talk about data visualization. Jeff has been working in the internet business for quite some time, from JINX to Telkom, Antfarm to IS, UUNet to 365 and finally back to R&I at Internet Solutions. We met Jeff a few years ago at Jozi.rb where he gave a D3 talk that blew everyone away. Since then Jeff has studied the art of successful data visualization and shares with us all the intricacies of generating effective graphics to communicate complex ideas. We got a history lesson on the origins of data visualization, starting with cartography and Florence Nightingale! We learn how visualization helped stop a cholera outbreak too! Jeff freely shared his knowledge and resources with us and we hope you can use all this to improve your own visualizations. Follow Jeff online: - https://twitter.com/fletch_jeff - http://limn.co.za Here are some resources mentioned during the show: * D3 at Jozi.rb - http://www.meetup.com/joziruby/events/180219732/ * Hype Cycle - https://en.wikipedia.org/wiki/Hype_cycle * D3.js - https://d3js.org/ * Tableau - http://www.tableau.com/ * QlikView - http://www.qlik.com/products/qlikview * Highcharts - http://www.highcharts.com/ * Cartography - https://en.wikipedia.org/wiki/Cartography * Nightingales's Graph - http://www.uh.edu/engines/epi1712.htm * John Snow's Cholera Map - http://www.theguardian.com/news/datablog/2013/mar/15/john-snow-cholera-map * Edward Tufte - http://www.edwardtufte.com/tufte/ * Ben Fry - http://benfry.com/ * Mike Bostock - https://bost.ocks.org/mike/ * Protoviz (predecessor to D3) - http://mbostock.github.io/protovis/ * Three.js - http://threejs.org/ * C3.js - http://c3js.org/ * Stephen Few - https://www.perceptualedge.com/ * Stephen Few's Show Me The Numbers - http://bit.ly/1N7e3zq * WTF Visualizations - http://viz.wtf/ * Data-Ink Ratio - http://www.infovis-wiki.net/index.php/Data-Ink_Ratio * iPhone Pie Chart trick - http://www.wired.com/2008/02/macworlds-iphon/ * ColorBrewer 2.0 by Cynthia Brewer - http://colorbrewer2.org/ * ColorBrewer with D3 - https://bl.ocks.org/mbostock/5577023 * Gestalt Principle - https://en.wikipedia.org/wiki/Gestalt_psychology * RStudio - https://www.rstudio.com/ * Wazimap - http://wazimap.co.za/ * Data Visualization and Communication with Tableau - https://www.coursera.org/learn/analytics-tableau * CS171 Visualization (Harvard) - http://www.cs171.org/2016/index.html * Dana Wong - http://donawong.com/ * Dana Wong's Wall Street Guide to Information Graphics - http://bit.ly/1oVndUa * Information is Beautiful - http://www.informationisbeautiful.net/ * Dear Data - http://www.dear-data.com/all * Visualize This - http://book.flowingdata.com/ And finally our picks Kevin: - Episode 26 - Open Data and Civic Hacking with Jason Norwood-Young - http://bit.ly/1T2km6w Kenneth: * Information is Beautiful - http://www.informationisbeautiful.net/ * Minard's visualization of Napoleon's March - https://en.wikipedia.org/wiki/Charles_Joseph_Minard * Among the Oscar Contenders, a Host of Connections - http://nyti.ms/1N7dVzP Len: - Johannesburg Clojure Meetup - http://www.meetup.com/Johannesburg-Clojure-Meetup/events/230015106/ Jeff: - The Visual Display of Quantitative Information - http://www.edwardtufte.com/tufte/books_vdqi - OECD Better Life Index - http://www.oecdbetterlifeindex.org/ - Real time global wind map - http://earth.nullschool.net/ Thanks for listening! Stay in touch: * Socialize - https://twitter.com/zadevchat & http://facebook.com/ZADevChat/ * Suggestions and feedback - https://github.com/zadevchat/ping * Subscribe and rate in iTunes - https://itunes.apple.com/za/podcast/zadevchat-podcast/id1057372777

La video-registrazione del Live Webinar "HR Analytics in un Click con QlikView" è disponibile!

In this RedZone MasterMind Podcast 6x CIOs join me for a lightning round one hour session in which we covered primary topics that they were interested in.What emerged were 2 major themes that interested the majority and 2 secondary themes.1.    IT Security as it related to Employee training, Cloud Infrastructure security at AWS – Amazon Web Services, and Microsoft Office 3652.    Business Intelligence – Business Analytics3.    BCP / DR – Business Continuity Planning and Disaster Recovery4.    Generational issues - employees and their readiness to adopt new technologyLessons learned cover:•    Office 365 – lessons learned•    AWS deployment and lessons learned•    Business Intelligence (BI)– Lessons learned•    BI Support tools and options Qlikview•    DR/BCP planning approaches –testing suggestions•    Everbridge – mass notification system•    Ideas on handling GenZs and Millenials

Richard and Greg talk to Donald Farmer about his new role over at QlikView. Don spent ten years working on Business Intelligence technologies at Microsoft and now has taken his experiences into QlikView and their business analytic products. Don also digs into how business analytics has evolved, reducing the cost of systems and making BI 'disposable' - low cost, agile and easily replaceable. Towards the end of the show, Don tells some great BI stories of different companies taking advantage of their BI systems.