Business intelligence (BI) is fueled by two opposing forces: top-down BI, in which the corporate IT group imposes standards on the delivery of data and reports to ensure a single version of truth, and bottom-up BI, in which business unit analysts create their own reports with custom data sets. In most organizations, these two camps are at war: corporate IT locks down data and reports, frustrating business units who then circumvent IT by hiring their own business analysts to create the reports they need when they need them. 

This report argues that top-down and bottom-up BI are flip sides of the same coin and explains that organizations must devise organizational, architectural, and technical frameworks to harmonize these polar opposites. The report then describes the rise of data discovery tools as a bottom-up reaction to heavy-handed BI teams and traditional enterprise BI tools. Data discovery tools have crushed the top-down camp’s monopoly of BI, but in so doing, they have unleashed a bevy of data silos and inconsistent reports. 

Finally, the report shows how modern BI platforms blend the best of both top-down and bottom-up BI in a governed discovery environment that tailors self-service capabilities to business users based on their roles, responsibilities, proclivities, and skills. It concludes by providing a comprehensive set of evaluation criteria that can help organizations select a governed data  discovery tool that balances freedom and control and meets their enterprise requirements.

You Will Learn: 

• How governed data discovery tools balance freedom and control in a data delivery environment.
• The four classes of business users and their self-service requirements. 
• Six sets of self-service functionality that must administrators must govern: Configure, Customize, Connect, Create, Consume, and Collaborate.
• How to map the four classes of business users to six classes of self-service functionality.  
• Thirteen criteria for evaluating governed data discovery tools.

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