Data quality is a broad practise that covers a range of possibilities.
Some examples may include:
- Data profiling and risk assessments to support data migrations
- Data standardisation, scrubbing and enrichment to support a client or product master
- Design and delivery of aata quality metrics to support data governance
- Address validation and geocoding
- and many more...
Our approach leverages award winning technology to deliver superior results quickly.
Clients may purchase the technology outright, or may negotiate a term or SaaS licence, dependnig in their needs.
It is, however, important to recognise that sustainable results require a sustainable solutions.
Once off data cleaning or similar exercises may solve the immediate problem, however, problems will reoccur if steps are not taken identify the root cause, and take steps to resolve them.
Contact us to learn more about our data quality services which include: