Operationalisation and self-service analytics are critical pieces to the transformation of a data-powered enterprise, including the movement toward AI. However, that doesn’t mean that the two systems in and of themselves are a final destination; rather, o16n and SSA are processes requiring continuous improvement and evolution.
In order to become a truly data-powered company, it’s necessary to set up the tools, processes and the organisation to make the development and use of data and models pervasive
Download the report to learn more about:
- How to build a holistic data management architecture to support current and future business intelligence, advanced analytics, machine learning, and AI initiatives
- Why this method is effective, what each component really means, and how to get there
- Avoiding the pitfalls
- Keys for execution