IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
For additional context, please refer to the infographic Extracting business value from the 4 V's of big data.
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IBM software and expertise analyzes more than 41 million data points to determine the top three "Keys to the Match" for Grand Slam tennis tournaments. That same predictive analytics technology is used every day by leading organizations to solve their most pressing business challenges.
See how "The Big Datastillery," a revolutionary new “appliance,” condenses terabyte-scale torrents of customer, transactional, campaign, clickstream and social media data down to meaningful and actionable insights that boost response rates, conversions and customer value.
Executives have long regarded intuition and experience as the keys to formulating strategy and assessing risk. That thinking may have worked in an earlier time of information scarcity—but not in the time of Big Data. The ability to harness big data gives leaders their new competitive advantage in
Animation: Big data is creating opportunities for Communications Service Providers (CSPs) to establish new revenue streams. With big data technology, CSPs can analyze the location data generated by millions of mobile devices and use the resulting insights, along with offerings from business
Infographic: Where does big data come from? "Big data” is a frequently heard buzzword in 2012. This year, IBM teamed with the University of Oxford to help organizations look beyond the big data hype and gain a deeper view into how their peers are defining and tackling big data today to improve
Infographic: Our love affair with big data is going strong. This infographic depicts 6 things to focus on to keep your relationship with big data happy—critical tools and practices that will reward you in improved reliability, stability and performance.
Infographic: Certain things cannot be overlooked when dealing with data. Best practices must be instituted for the care of big data just as they have long been in small data. Before enjoying big data's amazing analytical feats, you must first get it under control - with tools that are up to the