• TG Marketing Team

Machine Learning Data Catalogs Recover Control of Enterprise Data

Updated: Feb 10, 2020

Authored by: TG Marketing

If someone asked you to quantify the data knowledge in your organization, what would you estimate? A half million gigabytes? Two million? Turns out a typical large enterprise in the digital age has more than 1,000 terabytes of data knowledge and an average of seven data lakes (1). With thousands of tables and scripts in siloed sources, connecting the data to leverage its business value has become a significant issue.

Machine Learning data catalogs (MLDC) solve this challenge and help enterprises recover control of their data. That’s good news for data scientists, who spend more than half of their day on routine tasks like gathering and preparing data (2). And, for organizations trying to scale self-service analytics across the enterprise, too. MLDCs ensure that users can quickly access data for queries and produce reports that can be trusted.


ML data catalogs index the metadata on 100% of your data, including the lineage of each object. That alone can support better data governance. However, what’s making MLDCs an emerging trend is their enablement of revolutionary levels of collaboration and knowledge-sharing across the enterprise. These platforms use ML to enable users to create faster, more optimal queries by bubbling up those most frequently used and also rated highly by other users. They enable real-time discussions in the platform to share knowledge and improve queries. In addition, they eliminate errors and confusion caused by inconsistency in results when different users in different areas of the organization structure the same query in different ways.


Alation pioneered ML data catalogs with its platform in 2012. The company’s goal was to transform metadata management and governance with AI and a platform that is database agnostic. With Alation, the more databases you have, the more ROI you get from your MLDC.  

Organizations in a wide range of sectors are implementing Alation to gain capability for

  • Improved confidence and trust in analytics by improving the quality of data

  • Improved productivity by making better queries possible for users in all roles

  • Collaboration by data creators and data users across the organization


We’re partnering with early adopters to embrace this new technology. Organizations may not have the skills or resources to implement an MLDC, but the deployment of modern technology tools and processes is our specialty as a professional services firm. Whether you need data preparation, system integration, Alation implementation or the strategic creation of a Chief Data Officer structure and role, TG can help. Reach out and we’ll talk about what your organization could accomplish with an MLDC.


The Forrester Wave™: Machine Learning Data, 2018

The New York Times, 2014