Think, Plan, Execute: How to Run Self-Service Analytics in a Thoughtful, Effective Way

Self-service has become a bit of a dirty word in the data industry.

The theory sells a rosy picture. Give more people access to data and they all become more informed, productive, and competitive across the board.

In reality, the data industry is littered with:

• Failed self-service attempts

• Metrics catalog upon metrics catalog

• More drag-and-drop interfaces than you can shake a stick at

All promising so much before ultimately delivering little value.

The problem? Far too much onus on technology doing the work for us, with little to no deep, structured thought on how self-serve should be implemented for each organization’s bespoke use-cases.