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Secrets of Data Analytics Leaders

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time g

Episodes

Total: 261

This EG blog is about data modernization steps and guiding principles that can help maintain balance

This is an audio blog on BI on the Cloud Data Lake and how to improve the productivity of data engin

This audio blog is about business intelligence on the cloud data lake and why it arose and how to ar

This audio blog is about the data lakehouse and how it is the latest incantation from a handful of d

This is an audio blog about the perplexities of the Data Lakehouse and if it is, indeed, the "paradi

This audio blog discusses the Data Lakehouse, a marketing concept that evokes clean PowerPoint imag

This audio blog discusses cloud adoption and how data teams will migrate an increasing portion of th

This audio blog is about how the CHOP’s data and analytics (DnA) team uses near real-time data and i

This audio blog is about the emerging concept of the data mesh and how enterprises are working tirel

As of this writing, billions of consumers live in quarantine. They buy what they need online, comfor

This audio blog focuses on data storytelling and how it uses numbers, narrative, and visuals to comm

This audio blog focuses on increase usage of NLP to navigate different formats, languages, terminolo

Chief data officers (CDOs) first appeared in enterprise organizations after the Sarbanes Oxley Act b

A chief data officer not only defines a data strategy to meet current needs but also evolves the str

Data leaders who launch self-service analytics programs without knowing their business users risk un

Master Data Management is no shiny object. But like many traditional IT practices, MDM is being sev

The rise of machine learning has placed a premium on finding new sources of data to fuel predictive

Data quality and leadership trust levels may not seem connected, but they’re inextricably linked. He

Data is critical for learning about the needs of the market, product bugs and issues, competitive so

All organizations need to go down a similar path of data maturity. While you can skip steps in techn