Uniserv Magazine

All important, worth knowing data and software topics at a glance.

Here you will find a wide range of in-depth information and exciting suggestions on our customer data management topics. Enjoy reading!

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Master Data Management
Break down data silos and manage data centrally to avoid unnecessary costs
We show you how IT departments can effectively manage business partner master data without disrupting ongoing operations.
Data Quality
Master Data Management
Data Migration
Use Cases
SAP
Uniserv
All Data Quality Master Data Management Data Migration Use Cases SAP Uniserv
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Use Cases

Data compliance protects companies from conflict situations

Many regulations make it mandatory for companies to check their business partners. Stable data compliance is hardly possible without valid data.

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Data Quality

Data acquisition: With three rules to trustworthiness

A high level of data security and transparent handling of data are particularly important aspects for financial service providers.

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Data Quality

Packstation or home address? How sustainable parcel delivery succeeds

How qualitatively appropriate and reliable data contribute to sustainable parcel delivery.

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Master Data Management | Use Cases

Reliably identify customers and prospects with Unique ID

What are the advantages of having a unique identifier as a persistent feature in every customer record?

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Data Migration | Use Cases

No cloud migration without data governance and data management

Practices enterprises should consider for a successful migration to the cloud.

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Use Cases

Customer Journey – or: How data helps turn customers into true fans

How consolidated data in the customer journey helps to satisfy the customer in all phases during the entire customer journey.

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Data Quality

A name analysis helps to avoid errors in addressing

Analyze names and name components internationally and ensure a positive customer experience by providing a correct address.

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Data Migration | Use Cases

Data consolidation - biggest success factor for your migration project

A multitude of data sources & resulting data silos - a unified customer view is hardly possible. How do you intelligently bring together data from different sources?

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