There are three important events in the lifecycle of a piece of data; creation, use and deletion. At all other times the data only represents risk.
Many organizations apply ILM processes to structured data and paper records only; the open nature of unstructured file services leading to an intimidating level of dynamism in their content.
Consistent and logical frameworks can be applied to unstructured data. Proactive data management by the users and organizational units who are creating and using the data is key. By adapting the working practices of business users to include information lifecyle management processes – such as the categorization of files or the immediate deletion of files when they become redundant – the organization is able to map ILM practices into the unstructured data footprint.
Understanding where in its lifecycle a piece of data is allows for improved compliance, protection and value realization.
|CDO: Data value is time sensitive. The ability to more accurately understand where in it’s lifecycle a file is allows for it’s value to be better exposed.|
|Data Compliance: Adapting the business culture to promote pro-active management of data throughout its lifecycle improves data compliance.|
|Data Governance: Users who understand and can efficiently take responsibility for data management are able to participate in guaranteeing data quality.|
|ILM: Workflows that are fully integrated into organizational working practices allow for data to be efficiently managed at a granular level by relevant stakeholders, rather than reactively managed by a separate organizational function which is distanced from the content and purpose of the data. Read More|
|IT Management: A clear understanding of the lifecycle stages that organizational data passes through, and the volumes of data currently in each stage, allows for more efficient file service design.|
|Business User: A colleague or subordinate transferring out of their current position does not equate to all of their data reaching the end of its life cycle. Relevant orphaned data can be re-incorporated into on-going activities – it’s value realized rather than neglected. Read More|