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About Data Quality on Demand

Data Quality on Demand is a data quality management platform from Uniserv that aims to improve the quality of customer data. It combines mastering data cleansing successfully, securing data quality in the long term, and resolving data silos efficiently so organizations can achieve a 360-degree customer view and successfully migrate master data. The Data Quality Hub minimizes errors in customer data and creates a solid database for efficient processes. This solution is crucial for maintaining high data quality standards that can significantly impact business decision-making and customer relationship management. Key capabilities: mastering data cleansing securing long-term data quality resolving data silos achieving 360-degree customer view migrating master data Best for: businesses that need accurate and reliable customer data management.

Data Quality on Demand Details

Vendor
Uniserv
Year Launched
1969
Location
Uniserv GmbH Rastatter Straße 13 75179 Pforzheim Germany
Deployment
cloud
Training Options
documentation, videos, in person
Countries Served
All Countries
Languages
English, French, German
Users
Data Stewards, Data Analysts, CRM Managers, Compliance Officers, IT Managers
Industries Served
Insurance, Banks & Financial Service Providers, Utilities, Retail & E-Commerce, Publishers
Tags
Data quality, Data cleansing, Data validation, Duplicate detection, Customer data management.

Data Quality on Demand's In-App Market Place

Does Data Quality on Demand have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (元), INR (₹), RUB (₽), BRL (R$), MXN ($)

Pros & Cons

  • Highly flexible and modular.
  • Seamless system integration.
  • AI-powered auto-correction.
  • User-friendly interface.
  • Supports large-scale data environments.
  • Complexity for very small businesses.
  • Data privacy considerations in cloud usage.
  • Needs trained users for optimal use.

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