Description
Legacy BI wasn’t built for AI, automation, or reuse beyond dashboards. Over time, business logic spreads across reports, SQL, and spreadsheets, slowing teams down and making analytics harder to trust.
This paper explains why modernizing BI has become a prerequisite for AI and how teams can do it without breaking what already works.
It introduces AI-driven BI modernization: a refactor-first approach that migrates existing BI, cleans and standardizes logic automatically, and establishes a governed semantic layer on GoodData. The result is AI-ready analytics, faster future development, and a foundation that scales across dashboards, applications, and automated workflows without long freezes or rebuilds.
Inside the paper:
- Why legacy BI blocks AI and automation initiatives
- How refactor-first modernization fixes analytics during migration
- How AI automation covers up to 80% of the work
- What a governed semantic layer enables across teams and use cases
- How organizations modernize incrementally while keeping analytics live
A practical guide for teams that want faster, more reliable analytics and a BI foundation ready for the AI era.
Does GoodData look like the better fit?
Get a demo now and see for yourself. It’s commitment-free.
Trusted by
