Data discovery is crucial for the end-user of any information management software. We govern and manage data with the goal in mind that this data will be easier to find, easier to protect, and just plain easier to see. How does one ensure that data is being managed in this way? It’s important to consider that data discovery relies heavily on good practices regarding your information infrastructure’s metadata scheme.
Metadata is similar to Taxonomy in that you must start small and build out. When tasked with the creation of your enterprises metadata, keep these key notions in mind:
- Data definitions and the business glossary should be reassessed. It’s important to make sure that any inconsistent data definitions are cleaned-up. This doesn’t mean that your team has to go through 100% of the reports but your information team should start with a group of reports that produce the majority of the data inconsistency challenges.
- A history of data definitions and the business glossary should be maintained and active. Making your business glossary active means that the end-user will be able to look up the definition of a term without having to begin a separate search.
- Leverage your metadata to support impact analysis. Relationships between data should be transparent to the information governance team, as they assess and mitigate risk, before making any changes.
Ensuring a well formed metadata scheme should be one of the many factors when considering a new information management solution. Data discovery is a task that most end-users deal with daily. Find out more about comprehensive information management solutions at FileTrail, today.
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