Feeling the pressure to become more data-driven, marketers agree that big data analytics will be an integral part of their organizations going forward. But a lack of data analytics skills and antiquated business processes are hampering their efforts.
The votes are in for CIO.com's 10 hottest big data startups to watch. Here are the final rankings based on your voting as well as a variety of other criteria such as funding and company leadership.
Three top-tier businesses are reaping big rewards from big-data analytics. They say the keys to success include a deeply-rooted culture of analytics and a relentless focus on cost efficiency and process improvement.
Business intelligence experts and IT executives share their tips on how BI software can improve your bottom line and make your organization more efficient.
Big Data startups are building viable products that target real-world pain points, and most of these Big Data new ventures are well-funded with solid management teams. Here are 10 Big Data startups to watch.
Trees probably aren't the first thing you think of when someone mentions New York City, but the city has a lot of them. Pruning and maintaining them is a public safety issue, and determining how to prioritize that maintenance is no easy feat. With the help of a nonprofit organization called DataKind, the city's Parks department is leveraging big data analytics for the job.
With PC sales lagging, Dell is changing its approach with customers. By asking a single question it is improving the company's relationships with its customers and their users. Competitors, take note.
IDG Enterprise's CEO spells out the future of big data, mobility and the impact of 50 billion connected devices by 2020.
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?
Big Data is poised to help marketers reach and engage customers and prospects in ways that businesses are only now starting to understand. Enterprises that don't embrace analytics may soon see embattled customers voting with their wallets.
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.
When economists, data scientists and medical professionals team up, the result is often remarkable innovation. These six examples from the Massachusetts Institute of Technology's Future of Health and Wellness Conference could change the way patients interact with hospitals, physicians and each other.