Anomalo Joins the EDM Council, Maintainer of the CDMC Framework

April 17, 2023

In an important step for data governance, Anomalo recently joined the EDM Council, the leading global trade association providing best practices, standards, and education to data and business professionals.

The EDM Council is a global organization with over 350 member firms that represent a broad range of industries, including banking, insurance, asset management, and more. Its mission is to establish and promote best practices for managing data as a strategic asset.

Anomalo's decision to join the EDM Council reaffirms our commitment to advancing data management practices and promoting data quality in regulated industries. Sharing those same goals, the EDM Council is an ideal partner for Anomalo. With joining, Anomalo gains access to a wealth of knowledge and resources that we’ll use to better our platform. At the same time, we’re excited to give back by sharing our own learnings with this network of industry experts and peers.

The CDMC (Cloud Data Management Capabilities) framework provides 14 key controls for managing data risk.

CDMC – the Cloud Data Management Capabilities framework

Anomalo champions the CDMC framework by way of our three pillars of data quality monitoring: validation rules, metric anomalies, and unsupervised data monitoring. With these pillars, Anomalo's data quality solution enables organizations to detect and correct data quality issues, ensuring that data is accurate, complete, and consistent. 

Anomalo customers, like Discover, and partners, like Alation, are also EDM Council members. By working together with the EDM Council and other industry organizations, Anomalo is helping to create a more robust and reliable data management ecosystem that benefits everyone involved.

We look forward to collaborating with our partners, customers, and other like-minded organizations  to help create a more data-driven future where accurate, complete, and consistent data is the norm rather than the exception.

Written By
Rich Taylor
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Data observability might be sufficient if you’re in the early innings of your data journey, but if you’re using data to make decisions or as an input into ML models, as our customers are, then basic checks are not enough to ensure your data is accurate and trustworthy.
Jobin George
Staff Solutions Consultant, Cloud Partner Engineering