Enterprise Data Catalog
Seeing and understanding the data landscape
Data is the resource that fuels our digital economy, but most enterprises find it difficult to get value out of their data because they do not know what they have, where it is, or what it means.


An Overview of Data Catalog
You cannot manage what you do not know and what you cannot understand. Yet today, many enterprises operate large data ecosystems without knowing their full extent, or what the data in them means. Everyone may know a little part, but nobody knows it all or can easily find out about what they do not already know.
Global IDs solves this problem with its Data Catalog. Perhaps the most important feature of Global IDs data catalog is its automation.
Data Ecosystem is a Task Far Beyond the Powers of Human Teams
Discovering, inventorying, classifying, and organizing information about an enterprise’s data ecosystem is a task that is far beyond the powers of human teams because of the scale and complexity involved. But Global IDs goes even further and once it has created a catalog of physical data assets it classifies them into categories that are needed for data management tasks.
And Global IDs take this information to a higher level by inferring semantics – what the data means in business terms. This includes understanding relationships among the data, often across different data platforms, that would normally remain hidden.


The Result is Information a Wide Range of Users within the Enterprise can Leverage for Business Purposes
Once an enterprise can see, understand, and communicate about its data at scale, all kinds of business value can be unlocked. Redundant data can be eliminated, reducing costs. Data needed for new analytical models to grow revenue can be easily discovered – with the confirmation that it is the right data for the model’s needs.
Sensitive data can be monitored and identified when it leaks into data stores where it should not be present – thereby reducing risk.
Global IDs Uses Artificial Intelligence and Machine Learning Enterprise Data Catalog
Global IDs use artificial intelligence and machine learning as part of the automated capabilities that underlie its Data Catalog. These features are necessary for the final part of the puzzle which is to keep the Data Catalog updated within short timeframes. Keeping a Data Catalog evergreen is vital as trust will rapidly be lost by business users if they feel the Data Catalog is out of date. With Global IDs, enterprises can have confidence in their Data Catalog.
Contact us at +1 (888) 514-0192 to learn more about Global IDs Data Catalog and to request a demo.

How It Works
Understanding the data that drives your enterprise – where it is, what it is, and its state of integrity. This is the first step toward getting control of enterprise data.

See the Logical as well as the Physical Landscape
A physical inventory of data assets is only the first step. Physical data assets embody logical assets. What does the physical data mean? What business concepts or logical entities does it represent? A meaningful and actionable view of the data landscape requires a map of its logical as well as its physical features.

Build a Comprehensive Vision of the Data Landscape
The logical features of the landscape are captured in metadata (data about data). Global IDs Data Catalog creates the metadata foundation for understanding and managing the landscape, using machine learning to map business concepts to the underlying physical data assets.
With these intelligent “eyes”, stewards, analysts, and data scientists are empowered to manage and extract business value from the landscape.

An Active Data Catalog that Scales with the Enterprise
The Global IDs Data Catalog automates the linking of logical business data models to physical data assets, keeps the metadata up to date, and scales with the size of your enterprise from small to very large.
At a Glance
The Global IDs platform maintains an up-to-date, comprehensive inventory of data assets, wherever they are in the ecosystem.
A View of the Data Landscape that is Logical and Oriented to Business Concepts
Machine Learning that Links Logical and Physical Features of the Landscape
Federated Search across the Landscape for Logical as well as Physical Targets
A Metadata Repository of Logical and Physical Relationships Enabling Effective Management and Extraction of Business Value from the Data Landscape
As Quoted in 
CDO, Manufacturing
President, Banking
Data Governance Specialist, Banking
My favorite aspect of Global IDs is the company itself. The leadership of Global IDs has demonstrated to me that it cares greatly about my success in using the product and ensuring I am getting the right value to help my company in meetings its goals.
Data Governance Lead, Finance
The support team makes all of the difference. They’re always willing to work with you to create whatever you feel like is missing or needs to be tweaked to provide a better end-user experience.
Data Governance Lead, Banking
The company has a passion for adding new product features that are needed for modern metadata management, and they strive to truly understand the needs of their customers. The technical depth of the product provides confidence in its applicability and use. Overall, it is the ecosystem approach that really sets Global IDs apart from the competition.