1) Single version of truth.
2) Master Data synchronized and validated.
3) Master Data maintained by the business users and the domain experts not the system experts
Profile - Perform a quality assessment, detect anomalies and highlight issues in their corporate data assets. Identify the source schemas for your master data. The source data may be structured or the unstructured data.
Model - Create a common model for any data you wish to master. Iterate over time to accommodate changes and ongoing modifications.Master Data Model must be created to cater all the reference data requirement and the changes to the model must be monitored.
Integrate - Acquire data from any source, synchronize and make available in batch or real time and in the right formats to the right systems users.The system should be able to import the data in any format text file , sql server file , oracle, ms access , old data , csv files etc.
Cleanse - Cleanse, standardize and augment data as well as remove duplicates and create an accurate master across and within sources.Ensure data quality and apply the proper business logic to maintain the quality data.
Govern - Institute process controls to provide a systematic approach to improved data quality. Enable a group of users to collaborate on, agree and publish a set of accepted master data.There should be the proper work flow to govern the master data.
Master - Establish a common understanding and publish highly accurate, reliable master data for any domain across any size organization
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