Managing data is a critical business activity. It involves maintaining data quality, ensuring it’s reliable, and maintaining access to it. Data best practices can help you optimize the processes that manage data. Data quality starts with the data you have. Once you have a comprehensive view of the data you have, you can begin to define your metrics.
First, make sure you gather the right types of data. Data that is disorganized or in different formats is unlikely to be useful to your business. The data collection process should be user-friendly, with descriptive file names and standardized file formats. It should also be easy to retrieve and store for a long time.
Data retention is a critical step for compliance and other reasons. It also helps your organization understand long-term trends and investigate incidents. Data that is retained for a long time can also be valuable for real-time data analytics, but you must be careful not to retain data forever. You can also use data retention software like Precisely to stream legacy data.
When storing data, you must ensure it is properly protected. For example, if you are storing personal information, use a Unix timestamp, rather than a date. This allows users to search by time zone. Additionally, make sure you include metadata, which is information about the data. It should also include information on the data’s structure and permissions.