Best practices for metadata management
The world of data offers dozens of exciting opportunities for the operation of businesses and will likely continue to shake up the business world as data tools continue to evolve. Of course, if you can’t make sure the quality of your data is impeccable, the analytics and insights you discern from your data sources are less likely to have the right impact on your business. If you want your business users to get the most out of using various data models in their workflows, it’s important to understand and properly use metadata in your work.
The data has to be organized in one way or another. Metadata is data that describes data and allows you to better find, categorize, and analyze your data asset repository. Having this kind of classification makes your data more useful, as metadata provides a way to illuminate connections, relationships, and correlations between different data points. Especially when it comes to data governance, having a robust metadata repository means you can catalog and analyze the data needed for your job. Learn more about the best way to implement metadata management solutions below.
How to use analytical metadata?
When it comes to metadata management, tagging and categorizing your data is particularly effective in the world of analytics. Whether it’s leveraging business metadata or technical metadata for impact analysis or just general reporting, making sure your data catalog is easy to navigate is critical if you want to ensure that you are getting the most out of big data in your analysis. By using metadata, you can better understand which types of data make the most sense to analyze in your work. For example, a business environment for a stakeholder may be different from what an IT professional looks for in terms of server uptime and downtime. As such, metadata can help put the right information in the hands of the right people at the right time.
How to use operational metadata?
Operational data is different from analytical data in that you often focus more on data lineage in this type of use case. When it comes to operational metadata, you typically seek to improve your business processes by carefully examining your data. Having proper data management practices can ensure that the metadata you use helps you find the right data for every step of the way. This ultimately leads to a deeper understanding of the metadata systems and assets required for any particular business process, such as an acquisition campaign or the fulfillment of an order placed on your ecommerce platform.
How can metadata help with compliance?
Depending on the source data and the information you store, it is important that you follow the appropriate business rules and data management processes as part of data administration. This is especially true when it comes to regulatory compliance regarding data collection (such as the GDPR guidelines for cookies on websites) or how you store and access sensitive data regarding credit card information, social security numbers or medical information. When using enterprise metadata management (or really any metadata management tool), you can tag these different data points with tags and other keywords that let other users know what An appropriate compliance protocol should be used against these data assets. As such, you can come up with new business rules and best practices for how you use metadata management solutions across your organization.
In order to fully embrace the movement of data, it’s important to understand the attributes you need from any point in your data inventory. In order to best focus your business on digital transformation, using different schema and metadata management tools can ensure that you are using data appropriately and powerfully.