Master Data Management (MDM) is a system that deals with an enterprise’s official master data assets to confirm uniformity and accuracy. To create master data assets, commonly you’ll group similar records to create and maintain a golden copy against each group of similar records. When we talk about finding duplicates or distinct records, traditional queries are adequate. But when we think of grouping similar records (records with variation, not necessarily duplicates), traditional queries need additional help. Machine Learning (ML) is a program that gives computers the ability to learn without being explicitly programmed. An MDM system be can leverage ML to improve the MDM process.
When we type something on our mobile device, it auto-suggests to us based on learnings from our previous usages. Machine Learning is a computer program that learns from experience and gives computers the ability to do so without being explicitly programmed. There are 3 core types of ML:
Let’s use airline industry data as an example. Passengers are booking tickets from various sources (agent, friends, multiple online accounts etc). So, we will have multiple records for the same passenger, sometime with variation in name, address and other details.
The airlines will like to group the similar records and maintain a master copy of record for each passenger that may be used for personalized marketing, reward programs, customer retention efforts, etc.
Traditional queries can’t fully meet the requirements because of the variations in data (not duplicates, but similar data), hence we need to leverage ML to create the customer master copy.
Zaloni’s DataOps platform, Arena, offers built-in data mastering that is powered by supervised machine learning techniques. It performs the steps below to create and maintain a golden copy of your important data.
Traditional queries are effective for finding distinct or grouping duplicates but find similarities or group similar records you should consider leveraging machine learning. Arena’s agile data mastering can help your organization easily and accurately master data.
To dive deeper into Arena’s data mastering capability and some of the common use cases, read our technical white paper: Arena Data Mastering for Golden Record Creation
If you are ready to take on the next step and learn more about the importance of Machine Learning Data Catalog functionality for your organization, download a complimentary copy of the Now Tech: Machine Learning Data Catalogs Q4, 2020 report.
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