Data quality is an issue for every organisation — whether you are in the middle of a data-migration project or not.
Data is your most important asset. However, when you focus on managing the increasing quantity, dispersed nature and complexity of data, it is easy to forget about the quality. So, it is no surprise that, on average, a quarter of data is inaccurate.
Poor-quality data will harm your productivity, create risk and prevent compliance. And failure to address this issue can result in:
Data-migration projects often drive the need to address data quality issues. It is a difficult process to get right — you have to understand the scope of the migration, understand the data at a detailed level, engage the right people, define the transformation rules, prove your solution’s end-to-end functionality and then implement it.
Our Data-Migration Framework gives you a methodology that makes this whole process as simple as possible — minimising the disruption to your business.
But data quality problems do not magically disappear when your migration is over. To maintain high-quality data, you need three things in place:
Our Data Quality Management Framework Methodology brings all of these aspects together, giving you a viable and enduring business solution.
We have an established Data Migration and Data Quality Practice within our Energy, Utilities & Telecoms Business Unit in the UK. This houses a dedicated team of data-migration and data-quality specialists.
Get in touch to find out more about how managing the quality of your data — before, during and after a migration — allows you to achieve your business goals.