Data migrations are frequently seen as an unexciting step in building the right environment for a new enterprise application.
For this reason, they are frequently poorly planned and poorly understood. Industry researchers, like Gartner and META Group, agree that data migration challenges can drive significant unbudgeted expenses for these projects - and are a frequent cause of project failures.
in most cases, these costs can be attributed to a design for a new application that does not take existing data complexities into account. This means that issues are discovered only during data take on - a very late stage in the implementation life cycle - and significant, costly rework is required to amend the application design to cater for these anomalies.
What is Big Data?
Master Data Management uses our proven data management methodology and market leading technology to accurately assess the fit of existing data to the business need.
This allows us to accurately scope and implement requirements for data cleansing during the data migration ,as well as to assist with planning data structures to best accommodate existing data.
- Understand and address data risks and issues
- Reduce data quality issues carried over into the new system
- idenitfy and consolidate duplicate data elements during the migration
- Manage parallel data sets and key changed and new data in synch
- Manage your data risk
- Build data quality checks into the new system
The last thing you need is to invest millions in new systems only to find that the data quality issues that plagued you previously have resurfaced within months of your go-live date.
Our approach allows new systems to reuse business processes and validations built to migrate data, ensuring you get the business returns you expect from your system.