Flexibility, Automation And Scalability Are Key To Successful Data Quality Management When Undergoing A Merger

Case Study


 

Inside this Document:

Challenge

As part of a large-scale superannuation merger project, a group of smaller funds were merging to form a larger fund. A set of rules needed to be developed for data quality that could handle the current and future states across a variety of account types.

Solution

A team of experts from InvestigateDQ was brought in to install the product and write most of the rules, before handing over to the client for BAU maintenance and ongoing rule generation.

Result

InvestigateDQ was integrated into everyday BAU processes across multiple teams with 160 staff members in the production environment using it daily and the intention to push it out across the entire company.

 
 

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Key Data Lifecycle Stages (Infographic)