Data Remediation
Key takeaways
The solution
Data classification and cataloguing: Data profiling and record keeping of critical data elements, and data elements that are present in inappropriate environments are vital to the successful operation of the organisation.
Pragmatic controls: Controls that can be quickly and easily implemented.
Purge and archive: Depending on regulation, policy and the appetite for risk, sensitive data must be removed from all environments.
Remediation: data masking and synthetic data: Data archiving and purging may not be acceptable in some scenarios because it derails some parts of the business. In this case, remediation using data masking or substituting production data for synthetic data is a potential mitigation.
MDM adoption: Full-blown MDM adoption can seem to be an intimidating and long-term prospect, but incrementally adopting MDM practice and tooling creates benefits quickly.
GFT implements data solutions in some of the largest FSIs in the world, and operates across many of the major financial markets and jurisdictions.
