Data Quality Hub

Correct customer data right from the start

With the Data Quality Hub, you ensure that only correct data enters your systems. You also ensure that your data is automatically kept up to date with anti-aging functions or automatically enriched with additional information if required.

 

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Data Quality Hub

Optimize your customer data along the data quality lifecycle


To get the best out of your data, you need to understand, maintain, protect and monitor it. And you need to do this throughout the entire data quality lifecycle. For these tasks, we offer you a combination of powerful software and experienced consultants.

The Uniserv Data Quality Hub meets your requirements precisely. This ensures that your data always meets the requirements of your business.

Read the success story to find out how we mastered the challenges of data quality together with R+V Versicherung.

What does the Data Quality Hub do?


The Data Quality Hub offers a unique combination of flexibility, efficiency and user-friendliness. Unlike other solutions, it enables the rapid implementation of all desired data quality functions. This includes all applications that collect or change data from customers or interested parties, without high integration or development costs. Its system neutrality and the ability to add functions at the touch of a button make the Data Quality Hub a lean, targeted solution. Data stewards can work directly in the Hub interface if required.
 

Data Quality Hub Functions

What does bad data cost?

 

The price for poor data quality is high. However, incorrect addresses and poor data quality are a cost factor that companies could easily avoid. 

Read our paper ‘What does bad data cost?’ to find out how high such costs can be and how you can avoid them from the outset.


Download the paper now

 

The 1-10-100 rule

„It takes $1 to verify a record as it´s entered, $10 to cleanse and de-dupe it and $100 if nothing is done, as the ramifications of the mistakes are felt over and over again.“

Source: SiriusDecisions/Forrester

Good data for your business processes

The importance of data quality for your company


Prospect and customer data is at the heart of companies. They are often not treated as such. They are inaccurate, inconsistent and out of date, scattered across different systems and often can no longer be easily merged. However, specialist departments need accurate, trustworthy and relevant data, for example:

Marketing
For successful campaigns and targeted personalization and segmentation.
Sales
For more efficient lead generation and tracking as well as personalised sales approaches.
Customer service
For the provision of fully personalized and highly effective customer support.
Business Intelligence
For data analyses that form the basis for well-founded strategies and business decisions.
Customer Retention
For the design and management of loyalty and customer retention programs.
Finance
For precise risk analysis and reliable assessments of creditworthiness.

With the Data Quality Hub you get:
 

  • Relevant and valid prospect and customer data in one or more of your systems
  • The ability to create a Unique Customer ID and a comprehensive 360-degree view
  • Fast implementation and reduced development effort
  • The flexibility to optimize and expand your data quality at any time and across systems

"You need to change the way data enters your systems. Just dumping everything into the systems as it comes in and then doing a clean-up project every few years is not an ideal solution."

Roland Pfeiffer, Managing Director Uniserv

roland-pfeiffer-geschaeftsfuehrer.png

"You need to change the way data enters your systems. Just dumping everything into the systems as it comes in and then doing a clean-up project every few years is not an ideal solution."

Roland Pfeiffer, Managing Director Uniserv

roland-pfeiffer-geschaeftsfuehrer.png