5 Metadata Management Solutions to Streamline Your Data Workflow
Data management can be complex, especially when dealing with large datasets and numerous clients who need access to that data. Data cataloging software and metadata management solutions are designed to make your data organization process more efficient and secure, ensuring that you know exactly where your data is at all times. Check out these five options to see which works best for your business!
Building the foundation
To get started, you’ll need data cataloging software Dataedo—document management systems or DMS. These products allow you to manage documents and metadata from a single system. If you can’t find one that works for your needs, a solution like ARX supports multiple DMSes through a set of integrations, making it easy to adapt if something better comes along. (You know how it goes with software.) In addition, users can quickly create rules for managing metadata in bulk across all of their documents; good DMSes help ensure consistency throughout your business by keeping track of what rules were applied when and by whom. Finally, most solutions also come with reporting features that allow users to generate analytics about their metadata usage over time quickly.
Choosing the right platform for your needs
Choosing a metadata management solution will depend on your needs and business type. For example, if you’re working in academia, open-source solutions might be best for your needs, while a growing business might want to invest in a custom enterprise-level solution. Before choosing a platform, make sure you identify all of your core data attributes and how they relate across different systems and teams. With that information, you can start comparing vendors against each other and choosing which one is right for your company.
Getting started with metadata tagging
Say you’re building a new website, and you want it to be an excellent example of metadata tagging. You want your page titles to be searchable, so you’ll add metadata that describes each page’s content. Headers and keywords aren’t enough, though—you also need descriptions and other tags, like categories or people tagged on social media. Of course, some data types don’t lend themselves well to meta-tagging. If your goal is data cataloging software or metadata management solutions, then you might decide on another kind of workflow based on prioritizing tasks rather than adding tags.
Expanding your knowledge
There’s no single path toward a data management career, and you may have had a different education or job history than your colleagues. You might have experience with databases, workflows, document management, or enterprise resource planning (ERP) systems. Maybe you got started in data through health care information or even as an accountant. The important thing is that you approach your new career from a foundation of knowledge about how information systems are used in business and what kinds of skills employers are looking for—in other words, take stock of where you are now and build on its time. By keeping an eye on hiring trends and doing some research into emerging technologies and trends, you can stay current with today’s data requirements while preparing yourself for tomorrow’s workplace needs.
Keeping it going
If you have thousands of documents, then metadata cataloging isn’t something you can do by hand. Luckily, most organizations will find a combination of solutions that works for them; if one tool doesn’t do everything you need, chances are there’s a complementary solution out there that can fill any gaps. As always, it’s important to select tools based on your needs, rather than just taking anyone’s advice or going with a recommendation because it seems popular (you could end up with worse problems). However, there are three common approaches to metadata management.