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Big Data confusion slows BI spending

Brian Karlovsky | Dec. 17, 2013
Big Data confusion will constrain spending on business intelligence and analytics software to single digit growth for the next two years, according to Gartner.

Gartner predicts companies will shift their future investment away from IT-developed reporting solutions toward business-user-led analysis solutions. IT will focus most of its effort on data modeling and governance. As a result, data discovery will displace IT-authored static reporting as the dominant BI and analytics user interaction paradigm for new implementations by 2015. Bertram said BI leaders should scrutinize the road maps of both data discovery and IT-centric vendors to determine their suitability to meet growing business user and enterprise requirements.

"It's important to acknowledge that one size rarely fits all," he said. By 2017, more than 50 per cent of analytics implementations will make use of event data streams generated from instrumented machines, applications and/or individuals. According to Gartner, as enterprises continue to recognize the economic value of information, and see the opportunity to capture and apply ever greater volumes of detailed data, they will come to expect access to analytics technologies capable of making sense from event streams.

This goes beyond traditional and mainstream BI to a breed of technologies capable of producing autonomous insights and inferences quickly. To produce and harvest this data from physical assets and other event sources, the market will expand for flexible, multipurpose sensors for temperature, humidity, vibration, pressure, sound, light/color, electrical or other utility flows, motion, facial expressions, voice inflection, health monitoring and other systems.

Moreover, such event data from physical assets is sometimes combined with event data from administrative information systems to develop richer, more powerful holistic systems.

Several SaaS application vendors in particular, have already intensified their ability to collect more usage data and are devising quid-pro-quo arrangements with customers that allow leveraging their de-identified data for alternate commercial purposes.

Bertam said nontech business leaders should create an inventory of the range of current data collected by their products and services, then consider what additional high-value information could be captured through further instrumentation.

"Application and other technology managers should ensure that the data collected from IT systems, applications, devices and users is maximized with equal consideration for performance implications and probable future business relevance." According to Gartner, by 2017, analytic applications offered by software vendors will be indistinguishable from analytic applications offered by service providers.

 

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