DQ Consulting

Our aim is to help our clients succeed with all their data management projects, from small one-off data cleanups to large data migration and integration projects.

With over 25 years of experience in customer data, we have come across a wide array of data quality issues and our team is committed to delivering each individual project on time and on budget.

Whatever the issue, whatever the problem, we’ve likely seen it and solved it before.

Typically, data management projects require three distinct phases:

Analysis Phase

Understand your data management goals
Discover and clarify your current situation using the “data value map”
Identify your obstacles to success
Make specific recommendations
Agree actions and set out the solution roadmap

Apply Technology Phase

Customise the proposed solution
Implement the recommended solution(s)

Helping Leverage Phase

Knowledge transfer
Application training
Ongoing support

The Data Value Map

When undergoing a large data project, we work with our clients to fully understand their business processes and technologies. From this we develop a picture of their current data management position and what their goals are.

To do this, one of the tools we apply is the data value map developed by University College Cork.

It is a zero technology tool which allows us to: uncover communication gaps between data creators and data users; understand all the components of any data gathering exercise and how they are linked; clarify the steps from data generation to data use and rethink how data is collected, stored and analysed.

data value map image