The amount of data being created and used in business is growing at a phenomenally fast rate. Whether from inside and outside the enterprise, whether click-streams, transactional data, RFID data, customer data or social behavior information, the challenge for businesses to make sense and derive value from it all can seem daunting.
But it needn't be. For years, Kognitio has been working with global organizations to store, process, integrate and analyze their ever-increasing Big Data volumes. In fact, we're passionate about helping businesses mine, analyze and get demonstrable value from their large data sets that they can then turn into actionable intelligence.
Our high-performance in-memory analytic database platform, Kognitio WX2, helps organizations around the globe to understand more about their business and their customers in shorter timescales and at a price that does not break the bank. From large corporates to smaller businesses, companies of all shapes and sizes run Kognitio WX2 to analyze Big Data sets quickly and efficiently, allowing them to make more informed, better business decisions that help them to drive growth and reduce costs.
As the data explosion continues, organizations count on Kognitio and its in-memory analytic database solution to get comprehensive answers to their questions. Where other solutions cannot cope with overwhelming data volumes and force the user to rely on data samples, Kognitio has helped numerous customers survive the Big Data phenomenon and analyze whatever, whenever and get answers to complex questions in sub-second response times.
Although Kognitio offers its WX2 database as an on-premise solution either as a software-only license or as a fully configured data warehouse appliance, Kognitio also allows companies to get the analytical insight they need for a low-cost monthly fee via the Kognitio DaaS Cloud. The DaaS Cloud offers WX2 as a secure “private cloud” solution providing maximum flexibility for a low cost of entry into data analytics and warehousing.
WX2 complements and drives the analytic stack:
Thursday, November 03, 2011
Driving successful BI and analytics projects
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