Unregulated data storage not only unnecessarily costs time and money, but company makes information management also vulnerable platform by ZyLAB offers comprehensive problem-solving from a study published by Symantec on August 4, 2010 Frankfurt – (2010 information management health check survey) indicate that companies indefinitely keep to much data and have to fight with rapid growth of storage requirements. At the same time it’ll be harder to find important data, which get the risk of litigation. ZyLAB, solution provider for E-Discovery and information management, with his portfolio is aimed exactly on this problem: its information management platform offers modular technologies for information access, E-Discovery, records management and enterprise information management. This allows you to control unlimited enterprise data, helps minimize risk, reduce costs and laid the Foundation for business intelligence. According to the study, a huge gap between theory and practice in terms of exists in company Data storage.
Instead of a controlled approach to business information, where only the necessary data will be kept, the data volume increases in reality almost unfiltered exponentially. This is because, to display the results of the study, the companies to introduce any binding rules for the storage of the data. This would allow and others to identify irrelevant or unneeded data, and documentation and risk-free to delete. Specifically, 87 percent of respondents IT and legal departments by the sense of a storage strategy are convinced though, there have been established but less than half of such. The management and control of electronic information is a question of technology, but also orderly procedures, quality control and well-documented information management activities. She has also become a serious of genuine sources of juridical vulnerability and risks”, Johannes C. Scholtes, ZyLAB Chief Strategy Officer explains. Make the unnecessarily large amounts of data also access to it to the expensive factor: it is now 1,500 times more expensive to evaluate the stored data, to save them.