. Augmented analytics platforms enable users to discover more data, evaluate uncharacterized datasets, and create what-if scenarios. This way, business can react to its evolving needs as quickly as possible, achieving the utmost nimbleness.An organization that just starts throwing data at novice users is facing a serious risk of poor-quality reports.
With no governance, there could be redundant reports from different users working in silos and delivering the same analysis or reports from different users analyzing the same metrics but using different filters and hence delivering conflicting results. Reports from different departments can rely on different naming conventions for quantity, value, or time or use the same terms but not necessarily the same definition.
Unfriendly self-service BI environment setups also might be a problem. What may seem for IT or BI teams to be an easy-to-use tool for collecting and refining results can have an overwhelming and demotivating amount of features for a casual user without technical skills.