Understand your data quality
Today, you are most likely already using customer or membership data in your business for analyses, marketing automation, efficiency initiatives, or the optimisation of the customer experience. Data is at the centre of all these different activities, but how good is your data foundation? And what about the GDPR?
Insights and understanding. These two elements are the primary reasons for businesses to postpone their data quality work, because how bad is it actually? Where are our primary issues? And how do we even get started?
In the data quality report, we share the knowledge we have obtained throughout the years on best practices within data quality, and you will find answers to questions like: what is the actual state of our data quality? Is it good enough to support our strategic and operational goals? Which areas are particularly vulnerable? How are we doing compared to other organisations? And, not least, how are we going to solve them with concrete recommendations to targets and actions, you can take home and put into practice?
You will get KPIs that can be employed in the measurement of the quality progress, for example KPIs on duplicates, address quality, telephone number quality, etc.
As a CEO, you will get a decision-making tool with analyses, benchmarks, and recommendations that can be employed in your organisation
As an employee, you get documentation and recommendations you can use when talking to your manager. An essential part of a data quality project is to start off by documenting why the data quality improvements are necessary, where the problems are, and who will benefit from the improvements