Data Assessment

High-quality data analysis as the basis for all data-driven projects.

A transparent view of the state of your data in terms of key dimensions such as actuality, uniqueness, correctness and completeness opens the door for targeted initiatives to improve your data in a wide range of use cases.

The vague feeling that something is wrong with one's own customer master data alone is not enough to work on improvement measures in a targeted and consistent manner. Only an overview of where concrete problems and challenges exist makes focused planning possible. After all, it is not a matter of displaying as much activism as possible. It is about tackling relevant and manageable measures that will bring considerable improvements. We bring light into the darkness and create facts to various questions, according to your individual circumstances:

How correct and complete is your data?
How high is the proportion of data that exists more than once?
Can I segment the data cleanly and draw analyses?
Do I have an overview of what I want to do with the data in the future?

Contents

Your challenge

Your invoices or packages are coming back? Your evaluations are not correct? Have you lost track of your customers or confidence in your data? You have the impression that your data is not reliable? Do you already know where the shoe pinches in your customer master data, or are you still in the dark when it comes to troubleshooting? Then you are not alone! Inadequacies in all quality dimensions of master data, such as uniqueness, correctness, completeness and consistency, usually lead to considerable additional effort and costs throughout the company, as well as to unintended side effects.

Measures to improve these problems often come to nothing if they cannot be clearly and measurably identified. You can only improve what you can measure. A structured analysis of your data can provide information about the extent of the necessary measures. As a rule, the collection of such a status quo requires professional tools and a distinctive competence in dealing with business partner data, as well as their quality criteria.

"Our Data Assessment is a detailed and robust analysis of the quality of your customer data. Type & scope are based on your individual challenges."

Sebastian Krebs, Head of Customer Success at Uniserv

"Our Data Assessment is a detailed and robust analysis of the quality of your customer data. Type & scope are based on your individual challenges."

Sebastian Krebs, Head of Customer Success at Uniserv

Measure data quality - 5 tips for more transparency

When it comes to the quality of your own data, there is often nothing more than a vague gut feeling. So how do you make it all measurable?

Read the Uniserv business whitepaper 'Measurable data quality' to find out how you can switch from gut feeling to transparency when it comes to data quality and put it to the test.

Why Data Assessment with Uniserv?

Uniserv is the absolute expert for data quality, both professionally and in terms of tools. Our customer data experts are familiar with the most diverse scenarios in customer data management and accompany you with a great deal of experience and competence in your data assessment. We always have the objectives of our customers in mind and bring our passion and motivation for data into the project.