Data discovery, self-service BI and master data/data quality management are currently the top business intelligence trends. While self-service BI and data discovery increased moderately in importance, master data and data quality management decreased slightly.
Self-service BI has been on organizations’ wish lists for a long time as IT departments struggle to satisfy steadily growing demand from end-users for faster changes and new developments to meet their BI needs. Enabling the business user community through ‘self-service BI’ is a good idea. Data discovery and visualization, as well as predictive analytics, are among the typical functions users want to consume in a self-service mode. However, an agreed data and tool governance framework is paramount to avoid losing control over data.
End-users recognize the need for data quality and master data management and initiatives in this area are often announced with a fanfare before quickly moving down the list of priorities for a variety of reasons. But at least organizations seem to be aware that the best-looking dashboard is worth nothing if there are flaws in the data it is based on. Business intelligence will not work without comprehensive data integration and data quality initiatives, but these have to be backed up with the right level of attention, resources and funding.
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