Master Record Manager
Datactics Master Record Manager allows changes to data to be reviewed and tracked, promoting transparency and accountability in the change process.
A component of the Data Quality Manager, the Datactics Master Record Manager allows changes to data to be reviewed and tracked, promoting transparency and accountability in the change process.
If you undergo a process of finding duplicate data within your database(s) and if you are finding duplicates in data from different sources, those duplicates need to be reconciled. With Datactics v4 Product Suite you can implement a matching process built precisely for your business requirements on any number of columns of information to ensure that you get the results you require. Once you have the clusters of matching records you can then merge these to create the best possible record, a golden record. With Datactics you can assign a score to the value for each column and then merge by selecting the best value for each column; much of the time this will be fully automated based on a confidence level that you define.
However, in most situations you do get clusters of records of lower confidence matches and in these circumstances the merging process requires manual intervention.
The Datactics Master Record Manager offers the ability to review matches, maintain processes and supervise system usage. All changes made to data are recorded, promoting transparency and accountability. The ability to review potential duplicates within the database allows you to investigate matches which might otherwise be missed in a fully automated system; automated changes can also be revised.
The Master Record Manager employs cleansing, matching, linking and identifying of master information in different data sources to create and maintain a “golden record”. The Master Record Manager uses projects devised with FlowDesigner, making it flexible and configurable to your specific needs.
To continually enhance data quality and provide greater flexibility manual augmentation allows users to edit merged data with ease; for example add a title or standardize a forename.
For compliance purposes the historical auditing facility creates a comprehensive audit trail promoting visibility of changes made to merged data. With the click of a button users can view details of who made the change, what type of change was made and when the change was made.
Collectively these functions allow users to revise and manage merged data easily and without jeopardizing data integrity.
