Reifier for the fastest and smartest path to Master Data
Existing MDM systems are broken, vendors continue to sell rule based solutions which are costly to buy and costlier and clumsier to configure and maintain. And they dont even scale. With Reifier, we turn the tables
To build a holistic unified view of all business entities, Reifier’s AI based fuzzy matching engine creates the appropriate linkages between data from different sources. It identifies typos, omissions, errors, abbreviations, different spellings, and other subtle differences in multiple instances of the entities and ties them all together to the same base. With other rule based approaches, one has to worry about defining the matching criteria, choosing the appropriate matching algorithms, setting the thresholds and confidence levels for each attribute of the entity. As the number of entities easily runs into hundreds for a small to medium business, building a master data system through traditional approaches leads to tremendous development time and cost.
With Reifier, the match process can be automated within a couple of hours for each attribute and entity type leading to a massive productivity and cost benefit. As Reifier scales very well to large datasets of millions of records, big data is never a concern. Adding new entities, whether through mergers or acquisitions, or through a change in business is a breeze with the AI based matching process.
Contact us to evaluate Reifier on your data.
Posted on July 21st, 2016