Part 3/6:
Data Tiering: Categorize data based on its importance and access frequency. High-value or frequently accessed data should reside on faster, more expensive storage, while less critical data can be moved to slower, cheaper storage options.
Retirement Policies: Regularly review and archive or delete outdated data. Establish retention policies that specify how long data needs to be kept, aligning with legal or business requirements.
Return on Investment (ROI) in Data Storage
A key consideration is understanding the ROI from data investments. Generally, the benefits of data storage and management do not materialize immediately but accrue over time, often within a year or two. Organizations should continuously monitor how effectively their data investments support business goals.