As enterprises generate, accumulate, and store an ever-increasing amount of data in numerous different systems, it’s becoming clear that they need a new approach to data management that reins in costs and ensures data is available when and where it’s needed. The need for improved enterprise data management coincides with the trend toward the digitization of businesses. On a global level, a recent report by the McKinsey Global Institute (MGI) found the amount of bandwidth crossing regional borders has grown 45 times since 2005 and is expected to increase another nine times in the next five years. “Flows of information, searches, communication, video, transactions, and intracompany traffic continue to surge,” the report says. Enterprises are left dealing with the result of these flows: more and more data of all types. Add to that data generated within the enterprise’s own walls – developer files, spreadsheets, images, audio and video files, text documents, and so on. In its benchmark report based on a study of 86% of Fortune 500 companies, the storage vendor Veritas found that data is growing at a rate of 39% per year. Interestingly, however, Veritas found that storage capacity requirements are growing 9% faster than companies are creating individual files. The reason is companies are storing multiple copies of the same files, probably on different storage facilities. That points to a storage management problem on top of the sheer data volume issue.