Closing the Gap between Data Availability and Insight
While data volumes are growing by leaps and bounds, firms are only analyzing 12% of the data that is being captured and stored, according to a recent Forrester survey. Several reasons for this shortfall were given by survey respondents:
� The inflexibility of their existing BI tools to handle the volume, velocity and disparate formats of Big Data
� Enterprise and externally sourced data changes faster than organizations can process into actionable insights
Enterprise practitioners believe the potential value of Big Data is significant, but many are struggling to derive maximum value from their investments in related technology. While a majority a Fortune 500 companies have Big Data deployments in production, and a significant percentage of mid-sized enterprises have proof-of-concept and pilot projects underway, We estimate that close to half have not realized the level of value anticipated at their onset.
The advent of the Web, mobile devices and other technologies has caused a fundamental change to the nature of data. Big Data has important, distinct qualities that differentiate it from �traditional� corporate data. No longer centralized, highly structured and easily manageable, now more than ever data is highly distributed, loosely structured (if structured at all), and increasingly large in volume.
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Big Data Training for FastTrack Session on Mar 29- Apr 2, 2014