Across industries, organizations are experiencing an increasing need to do more with less at the same time they are forced to cope with fast-paced, constrained and demanding business environments. This casts a spotlight squarely on leveraging existing information assets and investments and enabling building blocks to overall business and IT agility. Greater collaboration demands among business partners, the constrained economic environment, today's technology convergence and business agility requirements all factor into the expectations of business to manage and use integrated data more effectively and efficiently across the enterprise. Leading organizations have begun to address many of these data issues in response to strategic or tactical challenges with a variety of solutions, and much has already been written and discussed around common approaches to data management and architecture. However, many organizations are struggling to realize the promised value of delivery and integration due to the issues related to business alignment, broader business relevance, technology proliferation, evolving technology maturity and sustaining momentum. Common data-centric or technology-centric approaches have yielded less than desired outcomes in most cases and many companies are still searching for the right answers to problems that are spread across the entire enterprise. The complexity surrounding unstructured data and the gradual shift of application infrastructure to cloud are the next big frontier awaiting IT managers and CIO. It is quickly approaching a point where a data strategy that looked solid a few years ago requires a revamp or at least a significant refresh for many early adopters.

Many organizations have discovered that their key business initiatives are hitting a common data management bottleneck in the form of poor data integration and poor quality information. There are several root causes of bad data, many of which stem from the growth and complexity that characterize leading enterprises today:

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