DataOps for GenAI - EXL Study by Forrester

This custom study looks at the current state, challenges, and opportunities for data ops across the US and UK geographies.

How aligned data management practices set the stage for generative AI and the capabilities to come

Data stands as a pivotal asset for every organization. As business leaders explore the potential of harnessing generative AI (genAI) capabilities, they quickly recognize that a robust foundation of data is an absolute prerequisite. The management of data takes on a paramount role, encompassing the tasks of storage, processing, security, and governance. Nevertheless, conventional data management methods are proving inadequate in satisfying the evolving requirements of businesses, notably the demand for real-time, uniform, and self-service data to fuel applications, derive insights, and drive analytics 

EXL recently commissioned Forrester to carry out a custom study to look at the current state, challenges and opportunities of data ops across US and UK geographies. Forrester Consulting supplemented this research with custom survey questions asked of 158 analytics leaders tied to line of business and data quality/governance leaders at the director level or higher.

Key findings

If you would like to discuss the findings or learn how EXL can help your organization make sense of its customer data, please contact us.