A Reference Architecture for Self-Service Analytics

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 chain so designated business users can source their own data and create or modify reports to answer immediate questions without jeopardizing data alignment. 

How to Succeed with Self-Service Analytics: Balancing Empowerment and Governance

This report describes why self-service analytics seems so easy in theory but is challenging in practice.

Supporting Self-Service Analytics with a Unified Platform

Self-service analytics still requires technical staff to maintain different data infrastructure for different user types. A unified platform can help.

Power User Networks: The Key to Self Service Analytics

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...

Keys to Self-Service Success: How to Empower Business Users without Losing Control - Slide Presentation

Wayne Eckerson presents a framework for implementing self-service successfully based extensive experience and best practices. 


Jeff Magnusson: How To Create A Self-Service Data Platform For Data Scientists

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.

Part I - Self-Service Analytics: What Could Possibly Go Wrong?

Self-service analytics is a win-win proposition for both business users and the information technology (IT) department. So why do most organizations...

Part II: One Size Does Not Fit All: Customizing Self-Service Analytics For Business Users

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....

Part III - Self-Service Workflows: Curate, Create, Consume

Contrary to what many vendors proselytize, the goal of BI is to minimize the need for self-service, not maximize its use.

Self-Service Triumvirate: The New Data Analyst Workbench

A data analyst workbench that integrates data catalog, data preparation, and data analysis functionality is inevitable. 


Organizational Frameworks for Data Analytics: Establishing Programs, Teams, and Roles in the Age of Self-Service

It’s not technology that determines success in data analytics; it’s people, processes, and programs, which is the focus of this special report.

Self-Service Analytics: Six-Steps to Success

Self-service analytics sounds great: the business gets the information it wants, how it wants it, and the IT department offloads custom report...

How to Make a Smooth Transition to Self-Service Predictive Analytics

This article outlines a way for business users to smoothly transition from not using predictive analytics to reliably using self-service offerings.

Analytics Operating Model: How to Manage Requests in a Self-Service Environment

Self-service analytics needs the right people in the right roles doing the right things. But that requires a carefully crafted analytics operating model.

BI Success Tip #1: Don't Fight It - Go With It

How do business intelligence managers survive and thrive in a new world where business people have self-service tools?