Data scattered across business systems, shared drives, and personal devices makes searching slow and frustrating.
Newly generated data is not captured in time or with accuracy, preventing analysts from working with the latest information.
Incomplete, inaccurate, and inconsistent data that fails to meet business rules or needs, leaving it unusable for direct analysis.
Data without links to business nodes, workflows, or disciplines is difficult for professionals to interpret and apply.
Managers lack full visibility of the data landscape, including total volume, gaps, quality, and distribution.