ETL refers to a three-step data integration: Extract, Transform and Load. ETL is used when source and target systems represent the same data in different ways and often when combining multiple data sources together into a common standard and format. A good ETL process extracts data, ensures that data conforms to quality and consistency standards, transforms data into the target format and finally delivers data to the target system or repository. ETL is used both in data integration and data migration scenarios.
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.
Comma 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.