This guide consolidates our 15 years’ experience of implementing self-service analytics across a diverse range of organizations.
We created this guide to help progressive data and analytics leaders successfully navigate the complex components of a modern self-service analytics initiative.
The document covers the best practices, processes, and frameworks ALIS have applied to help design, build and maintain self-service analytics capabilities within our clients.
When implemented correctly, self-service analytics provides transformational improvements in the way your organization makes decisions at all levels, but of course, there are obstacles along the way.
We designed this guide to give you a deeper insight into the challenges you will face and some invaluable approaches we have found for overcoming the technical, cultural, and logistical hurdles that a large-scale self-service analytics program will invariably present.