How to Succeed with Self-Service Analytics: Balancing Empowerment and Governance
March 23, 2020 – This report describes why self-service analytics seems so easy in theory but is challenging in practice, and how to do it right.

March 23, 2020 – This report describes why self-service analytics seems so easy in theory but is challenging in practice, and how to do it right.
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....
August 19, 2016 – Contrary to what many vendors proselytize, the goal of BI is to minimize the need for self-service, not maximize its use.
August 16, 2024 – Many data leaders want to implement self-service, but don’t realize that they first have to implement the right architecture, governance, operating...
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.
March 10, 2023 – An operating model aligns data & analytics resources across the enterprise. Its goal is to push development close to the business while maintaining...
September 1, 2016 – To succeed with self-service analytics, organizations need a reference architecture that maps business users, technology, and developers to an...
May 7, 2024 – In this session, Wayne and Carlos discuss the concept of data zones, which are areas of data storage that satisfy diverse types of analytics consumption.
September 27, 2022 – Data architecture-as-a-service (DAaaS) is a new self-service paradigm that empowers business users to create architecturally compliant data pipelines...
November 16, 2022 – Data analysts are pivotal to the success of a data and analytics program. Whether data analysts are centralized or embedded in departments, data leaders need to hire, evaluate, and coach them, empower them with proper tools, and provide a career ladder to keep them active and engaged in the organization.
October 3, 2018 – A data analyst workbench that integrates data catalog, data preparation, and data analysis functionality is inevitable.
April 15, 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.
October 25, 2019 – In this episode, Wayne Eckerson and Angie Davis discuss how organizations can achieve better data governance with simple processes.
November 16, 2022 – Data analysts are pivotal to the success of a data and analytics program. Whether data analysts are centralized or embedded in departments, data leaders...