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The impact of Gartner's top 10 strategic technologies will not center only on the business - their capabilities will also increasingly become integral to future generations of management architecture, according to Gartner, Inc. "We are already seeing the adoption of 'big data' within the IT and operations management [ITOM] industry. In particular, software-as-service [SaaS] management providers now have to collect and synthesize large volumes of data," said Milind Govekar, managing vice president at Gartner. "We also expect more next-generation analytics to come to the forefront to address an increasingly hybrid cloud environment. On the social front, IT service desk social management tools will establish an interactive relationship with end users, enhance end-user productivity, provide a platform to share information and ideas, and market the value of IT to the business." In the fourth quarter of 2011, Gartner identified the 10 technologies and trends that will have the biggest impact for most organizations in 2012. They are: 1. Media tablets and beyond, 2. Mobile-centric applications and interfaces, 3. Contextual and social user experience, 4. The Internet of things, 5. App stores and marketplaces, 6. Next-generation analytics, 7. Big data, 8. In-memory computing, 9. Extreme low-energy servers and 10. Cloud computing.

"Tablet owners are generally older and more often female than their smartphone-toting counterparts, according to new data from mobile analytics firm Flurry."

Insurers' interest in data mining will only grow, says Kevin Pledge, the boss of Insight Decision Solutions, an underwriting-technology consultancy based near Toronto. He has investors interested in a project to develop software to comb Facebook and Twitter for promising sales leads: a woman proud of her pregnancy might want to buy life insurance, for example. Insurance firms will also analyse grocery purchases for clues about policyholders, he predicts. But that raises some sticky questions about privacy. Mr Pledge himself has begun to forgo his supermarket loyalty-card discount on junk food and pay for his burgers in cash. Promising as data mining is, much will depend on how regulators, and consumers, react.