3: Next-gen analytics
Companies need to develop “operational analytics” to make predictions and use data mashups. “There’s value in very current information. We are now shifting our focus to start doing simulations and modeling to predict the future,” Claunch said. These simulations would ultimately be run on smartphones and other devices. Algorithms will really matter to companies to support the right type of prediction.
Gartner didn’t advocate doing a lot of analytics investment yet, but be ready to invest.
My impression: Analytics is largely untapped ground for many companies. Claunch’s key point: “This is just being enabled now.” Another key item: A show of hands revealed that the entire room had business intelligence software. A show of hands also indicated that no one thought those applications were delivering real value.
4: Social analytics
This concept revolves around taking social networking data and incorporating it into enterprise analysis. Sentiment, context, and influence are key areas for companies. “We’re starting to see the tipping point,” Cearley said. “It’s moving from bleeding edge to mainstream activity.” For now, look at communities you have to support and analyze an entry.
My impression: CIOs should be watching this stuff, but given the crowd response to business intelligence, I’m not seeing much progress on the analytics-social intersection.
5: Social communication and collaboration
Social collaboration is “inevitable,” Cearley said. “Over the next few years, it will be impossible to ignore this,” he added. By now, companies should have policies, high value social uses identified, and have experiments to link social with CRM systems. Meanwhile, unified communications will merge with social. Expertise location will probably be the best use case.
My impression: Gartner makes a good point, but I’d be willing to bet that enterprises are way behind the curve on social communication and what it means for collaboration and productivity.
To Be Continued ....
