PharmaACE
MDM and Data Stewardship

Automate process of Merge and Match of existing data

Automate process of Merge and Match of existing data
March 17, 20262.4K views
1

Objective

  • To automate and streamline the existing manual process of Merge and Match of HCP records
2

Approach

  • Understood the business rules and relevant parameters behind the merge & match process
  • Used multiple algorithms to arrive at desired outcome
  • Extensive testing to ensure the accuracy of the match & merge
3

Outcome

  • Our enhanced process helped achieve higher percentage and accuracy of match and merge of HCP records
  • Our process helped eliminate redundancies and inconsistencies in the HCP records
  • Reduction in manual efforts and associated errors
4

Client Benefits

  • We helped create centralised and accurate records that allowed the client to achieve more reliable analytics
  • Merging disparate data records into a 'golden' version allowed the client to enhance the process related to business intelligence and operations
  • Higher quality insights drove better decision-making
  • Removing duplication in data minimized the consumption of resources required to store and retrieve the same data records