Data Management Strategy
Organisations today are plagued by challenges related to data storage management and protection. Current processes are expensive, complex, time-consuming and susceptible to human error. With today's regulatory & compliance initiatives, it is more important than ever to adopt a rigorous, reliable data management and protection strategy. Understanding how you use your storage is the first critical step in developing a data management strategy for your business. Origina has extensive expertise in the development of complex data management strategies using primary disk, backup & protection, archiving, replication, automated storage tiering and end-to-end data management.
What is a Data Management Strategy?
It is somewhat obvious that all of your data does not have the same importance to your business. Some of it indeed is mission critical; some of it is of limited or temporary value. One thing however that certainly true about data is that it is growing at a very high, often exponential rate.
Without a clear understanding of all the information under management in your environment, it is impossible to get a handle on information growth, compliance-related risk mitigation and information management costs. The practice of information classification is fundamental to an effective information centric storage strategy. Information classification requires that I.T. administrators work with Line-of-Business and knowledge workers to gain an understanding of the data to be managed. Once a clear set of goals and policies are established you can efficiently organise your information into tiers of service that will meet the performance, protection, and compliance requirements of your business.
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Develop a data classification strategy that will comprise all the data types currently used within your infrastructure i.e. structured, unstructured, backup and archive data.
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Deliver a foundation for storage management improvements, effective storage utilization, enhanced recovery times and optimized data archives that balances the cost of storing and managing information assets with its changing business value. It provides a practical methodology for aligning storage costs with business priorities.
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A set of processes that defines the access, recovery, and discovery characteristics of an enterprises' different data sets, grouping them into logical categories to facilitate business objectives.
What are the benefits?
The data management strategy will help with the following issues:
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Most data is placed on high end fibre channel disks – no tiering
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Large amounts of data are being backed up every night and the backup window isn't sufficient any more
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No end-to-end data management is in place
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No data growth / trends / forecasts are available
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Problems to meet RTO / RPO in DR test scenarios
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No effective Information Lifecycle Management in place
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Weak information asset management
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Lack of security classification, or indeed data loss prevention policies or auditing capability
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Current strategy does not comply with external regulatory requirements
See related case studies
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