Magazine article CRM Magazine

Big Data Prompts 'Analytics Everywhere' Solutions: Everyday Users Can Turn Data into Insight

Magazine article CRM Magazine

Big Data Prompts 'Analytics Everywhere' Solutions: Everyday Users Can Turn Data into Insight

Article excerpt

Big data analytics was supposed to unlock a wide variety of secrets for the benefit of entire companies, but so far its use--and the insights it uncovers--has remained in the lofty confines of the IT department. That is starting to change with the birth of "analytics everywhere," a type of big data analytics solution that makes mountains of insight available across the entire enterprise.

The problem, for the most part, has been that business intelligence and big data analytics solutions have typically targeted the 10 percent of employees with very extensive data science backgrounds. Instead, the focus needs to shift to the remaining 90 percent of employees, especially the marketing, sales, and customer service personnel, says Brian Brinkmann, vice president of products at Logi Analytics, a company that in January launched its own analytics everywhere solution.

Gartner predicts these types of analytics everywhere solutions will reach 50 percent of potential users this year, 75 percent by 2020, and 100 percent not long after that. The firm further reported that interactive data visualization and data discovery tools are expected to drive the most activity, which is expected to grow three times faster than traditional business intelligence (BI) software and reach $10 billion in value by the end of this year.

Logi Analytics' Logi Vision platform, one such application, contains three main components: DataSmart, which performs complex data profiling, modeling, and blending algorithms within the application; ThinkSpace, a recommendation engine; and InfoBoard, which enables users to collaborate to uncover, share, and improve on the insights found.

"We took the user-friendliness of Microsoft Excel and combined it with the rank and relevance capability of Google, the recommendation function of the likes of Amazon and Netflix, and made use of a Twitter-like trending feature," Brinkmann says. …

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