Report: Enterprises invest in technologies to make data analytics 'invisible'
Enterprises are investing in technologies such as natural language interfaces and embedded analytic applications to make analytics "invisible" as well as more accessible to nontraditional users, according to research firm Gartner.
Only 30 percent of potential enterprise users of business intelligence and analytics adopt analytics tools sponsored by chief information officers (CIOs), according to a survey conducted by Gartner.
By making analytics more invisible to users, enterprises can spur adoption of those tools more widely.
"In the face of accelerating business processes and a myriad of distractions, real-time operational intelligence systems are moving from 'nice to have' to 'must have for survival.' The more pervasively analytics can be deployed to business users, customers and consumers, the greater the impact will be in real time on business activities, competitiveness, innovation and productivity," said Rita Sallam, research vice president analyst at Gartner.
Gartner said enterprises are implementing real-time operational intelligence systems that automate the data collection and analysis process to improve the effectiveness of supervisors and staff.
Reflecting the trend toward greater automation, IBM (NYSE: IBM) last week announced that it was acquiring Star Analytics for an undisclosed consideration. Star's Command Center supplies process automation and application integration across hybrid computing environments, and its Integration Server provides integration with Oracle Hyperion data sources.
IBM explained that Star Analytics software removes custom coding for specialized sources that are hard to maintain and eliminates manual processes that can be cumbersome and time-consuming.
"IBM sees an enormous opportunity for our clients to apply Star Analytics to the information they have stored in their financial applications," said Leslie Rechan, general manager of IBM Business Analytics.
In addition, IBM announced the completion of its acquisition of StoredIQ, a big data analytics firm. IBM has been on a big data analytics acquisition spree since 2005, spending around $16 billion to acquire 35 big data firms, an IBM spokeswoman told GigaOM.