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Home > Computers and Information Technology > Computer Technology & Equipment > Storage Devices
ILM and Data Classification
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This study discusses the results of a survey on Information Lifecycle Management (ILM) that was completed in November 2006. Though there is still some confusion as to what ILM really encompasses, most of its components are being implemented at small and medium sites, many of which have identified specific budgets to achieve an ILM ultimate result. Greater emphasis on security, compliance and recovery performance stand out as the major reasons for the increased attention given to ILM, data classification and tiered storage
The survey reveals that SMBs dedicate up to X% of their IT budget to deploy or improve upon an Information Lifecycle Management (ILM) process, viewing it as a solution to major deficiencies in their IT operation.
ILM is an approach to managing the flow of an information system's data and associated metadata from creation to deletion. ILM is a deployment process that usually encompasses the following key steps:
- Classify or categorize data
- Relate business rules to data classes
- Determine service levels
- Determine security levels
- Establish tiered storage architecture
- Choose appropriate storage hardware
- Choose appropriate storage software, including management tools and infrastructure
When asked to what extent they have achieved each step, only x% of the respondents believe having attained full implementation, with scoring highest, and lagging behind
Data Classification
Much of the need for classification is driven by the consolidation of previously scattered data from various sources. This stresses the issue that data varies in its importance, accessibility requirements, and value.
The median population has identified four levels of classification, while about % of the population shows over levels. Though the ability to classify older data is important, it is rated much lower than, which is ranked at the top of the classifying parameters. Data classification is applied in priority.
25% of the population rates data classification very or extremely important in its potential to solve one of their major problems. Faster retrieval is cited as the most important reason one would want to classify data.
Automated Tiered storage
The biggest challenge users face when they are beginning to implement ILM-based tiered storage is agreeing on the information and data classification requirements. x% of the screening population and x% of the selected population say they have implemented it, and x% plan to implement it in the next two years.
Compliance with regulations is the major reason for implementing Tiered storage, and is the most wanted service combined with a Tiered Storage offering Most popular Tiered storage vendors. Six other vendors share the bulk of the rest of the market.
Other parameters analyzed for each of ILM, Data classification, and Tiered Storage include expected or achieved benefits, product selection criteria, most wanted associated services and preferred vendors.
This survey addressed a random population of 35,000 sites. Over 4,000 reliable responses form the basis of preliminary findings covering storage configurations and implementation plans. For a selected population of over 110 IT sites, mostly SMBs, this report provides statistics on practices, ranks issues and needs, and analyzes trends and plans.
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