by Angela Guess
A recent press release states, “As an extension to its Data Lake Management Platform, Zaloni today introduced a machine-learning data matching engine, which leverages the data lake to create “golden” records and enable enriched data views for multiple use cases across business sectors. Zaloni’s data matching engine provides a new approach for creating an integrated, consistent view of data that is updated, efficiently maintained and can drive customer-facing applications. It addresses a gap in the marketplace for a simplified, much less expensive and faster-to-implement solution for data mastering. ‘Many master data records solutions are complex, inflexible, expensive and underperform for the cost,’ said Ben Sharma, Zaloni’s CEO. ‘Zaloni’s data matching engine, which is offered as an extension to Zaloni’s Data Lake Management Platform, enables a practical, unique solution at a great value that will interest any organization that has a Customer or Product 360° initiative. For example, we implemented a Patient 360° project with one of our healthcare customers’.”
The release continues, “With Zaloni’s Data Master extension, companies can leverage their data lake environment to achieve an enriched view of customer or product data for applications such as intelligent pricing, personalized marketing, smart alerts, customized recommendations, and more. Because it works directly in the data lake, organizations can capture and combine any data type, including unstructured data, which allows the engine to create a more robust single version of truth. Further, Zaloni’s data matching engine can use your sample data to train its machine-learning algorithms.”
Read more at Zaloni.com.
Photo credit: Zaloni