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What is data quality assessment?
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.
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BackOur Services
Strategic Consultancy
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.
Delivery & Implementation
Amplifi has become the most trusted name globally for the successful delivery of data driven 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 to ensure long-term, and sustainable success.
Support & Enhance
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 consultancy and support to enhance and troubleshoot your data issues, ensuring the long term success of your initiative.
