This year’s report has seen a fundamental change in how Gartner evaluates vendors for it’s BI and Analytics Platforms Magic Quadrant.
“During the past several years, the balance of power for business intelligence (BI) and analytics platform buying decisions has gradually shifted from IT to the business as the long-standing BI requirement for centrally provisioned, highly governed and scalable system-of-record reporting has been counterbalanced by the need for analytical agility and business user autonomy.”
The vendors were assessed across five use cases and 14 critical capabilities of a BI and Analytics Platform. The five use cases were:
- Agile Centralized BI Provisioning – Supports an agile IT-enabled workflow — from data to centrally delivered and managed content — using the self-contained data management capabilities of the platform.
- Decentralized Analytics – Supports a workflow from data to self-service analytics.
- Governed Data Discovery – Supports a workflow from data to self-service analytics, to systems-of-record, IT-managed content with governance, reusability and promotability.
- Embedded BI – Supports a workflow from data to embedded BI content in a process or application.
- Extranet Deployment – Supports a workflow similar to agile centralized BI provisioning for the external customer or, in the public sector, citizen access to analytic content.
The 14 critical capabilities were spread across the following 4 groups and were used to assess how well each vendor supported the subcriteria.
- Data Management
- Analysis and Content Creation
- Sharing of Findings
The big winners this year were Tableau, Qlik, and Microsoft as the Gartner 2016 Magic Quadrant BI and Analytics leaders.