Waterline Data Brings AI Based Data Catalog to MapR
To compete in today’s Data Economy, organizations need to convert their data into actionable intelligence immediately, accurately and in compliance with governmental and internal policies and regulations. Instead, most organizations are drowning in data that they can’t act on. Why? Because without a data catalog, they don’t even know what data they have. Analysts are not only unable to find data, frequently they can’t even gain access to it until someone checks on whether it contains anything sensitive.
That’s why some of the world’s largest global enterprises are turning to Waterline Data. With Waterline Data’s AI and machine learning based data catalog, organizations are able to achieve two critical functions: 1) automatically assess and tag data with everyday business terms that virtually anyone within the organization can use to find the information they need, and 2) drive data governance policies for data such as data access, data quality and data masking. This is how GlaxoSmithKline is able to gain new insights from mountains of data for faster drug development. This is what allows Nordea to achieve GDPR compliance while benefiting from 10X the cost savings for each terabyte of data. This is the driving force behind the many millions of dollars in cost cutting one global food and beverage company enjoyed after using Waterline Data to enable predictive analytics that helped streamline their just in time inventory from six to two days.
To deliver this unique value specifically to organizations leveraging MapR’s data platform for AI and analytics, Waterline Data and MapR today announced immediate availability of the Waterline Data Catalog for MapR customers. Organizations looking to extend the power of their modern big data architecture can now automate the process of discovering, classifying and governing their data at scale and without compromising security.
Why is this so critical? Because it’s do or die time for the petabyte organization. It doesn’t matter how much data you have if it cannot be used to make decisions, and it cannot be used if it cannot be found, understood or used in a governed and compliant manner.
