Our Data Quality Review (DQR) services aim to address six key factors concerning your data:

Accuracy
Consistency
Completeness
Uniqueness
Validity
Timeliness

By addressing these factors, you improve productivity, capability, decision making, compliance, satisfaction, profitability and trust – the case for data quality review writes itself.

With the myriad of data stores, people and technology to contend with, it needs a considered, organised approach and this is where we can help with our Data Quality Programme Service.

People

Our data quality programme process provides a workflow that allows an issue or rule to be recognised, scoped, designed, and implemented within your data:

With this process we build up a database of your unique data quality rules (DQRs) which are packaged up to be applied where-ever you need data quality processing to occur.

Our data quality technology service provides you with a DQR database available in a variety of platforms such as Jira, Zoho, Azure DevOps and more. Workflows, authorisation and reporting are all configured for you to manage your quality programme. We also set up source control for all your data quality scripts to manage tracking, documentation, back-ups and version control.

Our data quality service helps you identify and appoint the right people and internal governance to manage your data quality programme. We can help train the Data Quality Managers, including providing support and mentoring, plus we help identify the key stakeholders who should be part of your DQ Board.

At Euler you own your data quality rules, code and scripts. They are yours to use and keep in any future platform or architecture. It’s why so many companies like yours trust Euler with one of their most important assets, data.