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5 pitfalls of self-service BI

Self-service business intelligence offers many benefits, but bringing analytics and reporting closer to business units by bypassing IT can have unintended — and costly — consequences.

5 pitfalls of self-service BI
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Over the past several years, businesses have increasingly adopted self-service business intelligence (BI). In its November 2016 “Self-Service BI Market – Global Forecast to 2021” report, Research and Markets forecast the global self-service BI market would double to $7.31 billion by 2021.

The benefits seem clear. Whereas traditional BI is frequently seen as slow and rigid, self-service BI promises ease of use and agility. With self-service BI, business users can get access to the data and insights they need, when they need them, without having to rely on IT, which can often be a bottleneck with traditional business intelligence. By bypassing IT, the business can better capitalize on opportunities and quickly react to problems.

Dave Mariani, founder and CEO of startup AtScale, provider of a universal semantic platform for BI on big data, believes self-service BI offers many advantages, but he also sees several unintended consequences that organizations adopting the self-service model need to address. In his years as vice president of engineering for advertiser analytics and then vice president of development, user data and analytics at Yahoo, Mariani experienced these pitfalls first-hand.

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Following are five side effects of a self-service BI strategy that you’ll want to avoid.

1. Business metrics chaos

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