Automate process of Merge and Match of existing data - PharmaACE

Case Study

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Automate process of Merge and Match of existing data

Objective

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

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

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

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 processes 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

MDM and Data Stewardship