IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity. This infographic explains and gives examples of each.
Infographics & Animations
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain can businesses begin to mine and refine their data resources to extract value—using trusted information to pave the roads to new insights and smarter decision making.
The journey that a customer takes with your company is an individual one. Each customer requires a customized map with a guide who understands exactly where he wants to go—ensuring a smooth experience along the way. Can your company provide every customer with his own personal guide? And can your company chart a course to success?
Aberdeen has long illustrated the benefits of well-managed, trustworthy data, and the problems associated with poor data quality. As data volumes rapidly expand and data environments become more complex, what were once small nuisances evolve into massive, company-wide problems. In order to avoid these pitfalls and achieve better business efficiency and operational performance, top performing organizations have found it necessary to invest in tools such as data security, master data management, data quality, data lifecycle management and data integration. Using research collected from December 2009 to December 2012, Aberdeen examines the hidden financial penalties for lapsed information governance and untrustworthy data.
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.
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