Leveraging the solid foundation of a detailed and fit-for-purpose Data Standards we would undertake an initial impact data assessment before making data remediation recommendations. We always take a pragmatic approach to size and recommend data remediation scope – which could be anything from simple data enrichment, data cleansing or even full scale data rebuild where required and where there is clear business benefit in doing so.
We also consider what is going on elsewhere, as many of these activities can apply equally to Data Remediation as they do to Data Migration or system conversion/upgrade, etc (i.e. if you have big changes coming up such as moving to S/4HANA we can help minimise overall costs, risks and business disruption). We then look to ensure that Data Quality is maintained through sustainable and robust Data Governance tools and processes.