A Data Quality Assessment involves analysis of one or more datasets or subsets in order to understand and report on the overall level of quality of that data. The process of carrying out an assessment typically involves workshops with key stakeholders, during which important data quality rules and measures are identified (aligned to the six data quality dimensions - see Data Quality). Data is then profiled, often using specialist data quality tools, against both generic data quality metrics and those metrics identified by the business stakeholders. The results of a data quality assessment can be used to drive further business activities such as data cleansing and ongoing data quality monitoring.Back
We work with our clients to understand your business vision and objectives, allowing us to curate a data strategy that compliments your goals. We provide a future state vision with concise requirements and the frameworks to make the right technology selection for you, alongside the organisational change roadmap required for you to become a data driven organisation.
Amplifi has become the most trusted name globally for the successful delivery of MDM and Data Quality solutions. Our delivery methodology is focused on all the key aspects that make data initiatives successful, focusing on not just the technology implementation but the required change initiative and the supporting quality metrics also ensuring your project success is measurable. Data projects always fail don't they? Not ours.
People see data initiatives as projects, but in fact there is a long term operation that needs to be run and evolve with your changing business. We provide 2nd and 3rd line configuration support to our MDM and Data Quality solutions. This allows for routine small change packages, new data quality requests and organisational health checks to ensure the long term success of your initiative.