August 1, 2016 –
To succeed with self-service analytics, organizations need a reference architecture that maps business users, technology, and developers to an information supply chain designed to turn data and insights into action. The architecture shows how to stitch self-service capabilities into the supply...
March 12, 2021 –
Self-service analytics still requires technical staff to maintain different data infrastructure for different user types. A unified platform can help.
September 5, 2018 –
Data analysts who sit in each business function (i.e., sales, marketing, finance) are critical to the success of a self-service analytics strategy. The...
In this podcast, Wayne Eckerson and Jeff Magnusson discuss a self-service model for data science work and the role of a data platform in that environment. Magnusson also talks about Flotilla, a new open source API that makes it easy for data scientists to execute tasks on the data platform.
July 11, 2016 –
Self-service analytics is a win-win proposition for both business users and the information technology (IT) department. So why do most organizations...
August 2, 2016 –
Many BI leaders don’t recognize that there is no single formula to self-service success. In fact, self-service is different for every business user....
December 30, 2019 –
It’s not technology that determines success in data analytics; it’s people, processes, and programs, which is the focus of this special report.
July 31, 2016 –
Self-service analytics sounds great: the business gets the information it wants, how it wants it, and the IT department offloads custom report...
February 13, 2017 –
This article outlines a way for business users to smoothly transition from not using predictive analytics to reliably using self-service offerings.
April 12, 2021 –
Self-service analytics needs the right people in the right roles doing the right things. But that requires a carefully crafted analytics operating model.