Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time g
Data virtualization has been around for decades and has always been controversial. In the 1990s, it
Why is Data Quality still an issue after all these years? To get an answer to the prevalent question
Being a change agent is hard. It's tough to inspire people and get them motivated to work on a share
The road to AI adoption is far more complex than one can imagine. Building data science models and t
In this episode, Daniel Graham dissects the capabilities of data lakes and compares it to data wareh
Recent technology developments are driving urgency to modernize data management. What do you do abou
Data catalogs have become the centerpiece of modern data management. They are the means to connect s
In this episode, Wayne Eckerson asks Steve Dine about the approach needed to migrate to the Cloud an
BI teams often work extremely hard but have little to show for their effort, and they can never get
In this Episode, Wayne Eckerson asks Charles Reeves about his organization’s Internet of Things and
A data analyst workbench will inevitably integrate data catalog, data preparation, and data analysis
In this episode, Wayne Eckerson and Shakeeb Ahkter dive into DataOps. They discuss what DataOps is,
A classic management practice dictates that a newly-appointed leader must accomplish certain things
In this episode, Wayne Eckerson and Rich Fox discuss what differentiates data science from analytics
With all the hype and attention around big data and huge data platforms, there can sometimes be some
We’re at the dawn of a new era in decision making made possible by the intersection of business inte
In this episode, Wayne Eckerson and Rich Galan discuss the obstacles to delivering timely analysis,
Data analysts who sit in each business function (i.e., sales, marketing, finance) are critical to th
In this episode, Wayne Eckerson and Steve Dine discuss modernizing data architectures. They cover th
Data pipelines become chaotic with pressures of agile, democratization, self-service, and organizati
