International Business Machines Corporation

Erik Hume Jones

Scott Schumacher

Edward Eugene Seabolt

Scott Ellard

Shettigar Parkala Srinivas

Puneet Sharma

James B Cushman, Ii

Lawrence Dubov

Douglas Scott Harger

Upwan Chachra

A method, apparatus, and computer program product for processing data is disclosed. In one aspect of the invention, a computer implemented method comprises receiving, on one or more computers, a record having one or more attributes from a source system. The method also comprises measuring, on one or more computers, a data accuracy of the received record as compared to a golden record stored in a master data management system. One or more remediation actions are performed, on one or more computers, to enforce improvements to the measured data accuracy of the received record in the source system. In one or more embodiments, measurement of data accuracy comprises calculating, on one or more computers, an accuracy score defined by a closeness of the received record to the golden record.

Master data governance process driven by source data accuracy metric

Embodiments of a method for managing entities include candidate selection by a transitive bucketing process where at least one attribute of an initial data record is used to determine a set of candidate data records corresponding to the initial data record. For each candidate data record thus determined, additional candidate data record(s) may be determined using attribute(s) not used in linking the candidate data record to the initial data record. This process may be repeated until no more candidate data records are returned. The initial data record and related candidates thus determined are then resolved into group entities, each having member records that match one another above a certain threshold. If no match is found, a group entity comprising a single data record may be created. These group entities are then reconciled with other entities in a master entity index system.

Managing entities within a database

Embodiments disclosed herein provide an implementation defined segments (IDS) subsystem which allows new data segments to be added to an identity hub after deployment. A set of metadata tables are utilized to describe IDS, each of which is a data structure encapsulating a single row from a master data record residing in the identity hub. Once a segment (an object) is described, the identity hub can use the information to define persistent storage for the object in the database for any relational database management system, create internal structures to hold the data and process business rules and demographic comparisons against the data object, describe the data object to remote clients, and allow the clients to query the identity hub at runtime about what data objects exist, what fields and data types they contain, and additionally how they might be displayed or formatted on various clients.

Implementation defined segments for relational database systems

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Phoenix, AZ, United States of America

Erik Hume Jones