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big data in pictures
There are only a few CIOs who are delivering on their innovation initiatives in their organisations, with the majority struggling to find the time and resources to make it happen, according to Harvey Nash’s 2013 global CIO survey.
Mobile operators collect huge amounts of data about how their subscribers use mobile data, and that information is starting to go on sale as targeted intelligence that enterprises can use to better reach consumers.
Companies of all sizes are beginning to reap the benefits of data analytics technology. If you're not up to speed yet, here are five ways that big data can benefit your business--and one precaution that may well thwart your big data plans.
Big data is getting a lot of coverage of late and with good reason. We live in a world that is fast becoming overwhelmed by information. Ninety percent of the world's data was created in just the last two years. From software applications and social media to Internet search results and the ever-present email, the rate of data creation is growing exponentially with no signs of slowing.
BT Financial Group has tapped business intelligence (BI) software from QlikView to provide insights on how to grow and retain customers for its financial advice business.
Making use of the petabytes of patient data that healthcare organizations possess requires extracting it from legacy systems, normalizing it and then building applications that can make sense of it. That's a tall order, but the facilities that pull it off can learn a lot.
In-memory analytics, like virtualization and the cloud, is an old idea that's been given new life. In this case, the combination of big data, inexpensive commodity storage and parallel processing make it possible to analyze terabytes of data without slowing systems to a crawl.
As analytics become more ingrained in corporations, data visualizers are the new go-to experts in demand -- but do they work for IT or give IT its marching orders?
Failed expectations, increased costs, unnecessary legal risks -- going blind into a big data project doesn’t pay
Traditional BI requires human input to decide what correlated factors to query. As predictive data analytics gets increasingly powerful, the algorithms do the deciding. That spells the end of BI as columnist Bernard Golden knows it - and he doesn't feel fine about it.
IT executives are starting to realize that there's little value in big data without robust analytics systems that can crunch the numbers and give key decision makers (read: their bosses) easy-to-digest information. With so few real solutions on the market, though, this is easier said than done.
Applying Big Data approaches to information security can help enterprises build better situational awareness capabilities, but implementation could prove to be a major challenge, security experts said at the RSA Conference 2013 being held here this week.
Whitepapers about big data
Given today’s threat environment, security teams now realize that they must assume their IT environments are subject to periodic compromise. Gone are the days when preventive measures to secure the perimeter or trying to detect malware problems using signature match technologies were enough. New practices based on an understanding of the phases of an attack, continuous threat monitoring, and rapid attack detection and remediation are required. Find out more.
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