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Data Quality Platform Directory

Definition: A Data Quality Platform is classed as having broad-ranging data quality functionality incorporating profiling, validation, rule management, matching, merging, verification, monitoring and issue management.

Ataccama - Data Quality Center

Ataccama Data Quality Center (DQC) provides a consistent, comprehensive tool that will allow you to address the full range of data quality issues—from data cleansing to matching—and prevent incorrect or incomplete data from gaining future entrance into your systems.

View Demo | Visit Product Page | Visit Website

Ataccama Data Quality Center

Ataccama Data Quality Center

Experian Data Quality - Data Quality Platform

The Experian Data Quality Platform is an innovative software product which allows organisations to significantly reduce resource and delivery times on data-dependent projects. The Data Quality Platform provides interactive functionality to understand all data domains; powerful data loading and profiling capabilities as well as the ability to transform and enrich data.

View Product Demo | Visit Product Page | Visit Experian Data Quality Website

X88 Software - X88 Pandora

X88 Pandora enables organisations to set up Data Quality Management processes, from analysis and assessment, through correction, to monitoring, within days. 

It is used on projects such as Data Warehouse, Data Migration, Fraud Detection, Compliance and MDM for tasks including scoping, data inventory, quality dashboards, data integration design and data governance.

Demo List: 

  1. Prototyping Data Integration
  2. Data Quality Over Time
  3. Rapid Data Quality Rules
  4. Load and Profile Data in 88 Seconds

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Uniserv - Customer Data Hub

The Customer Data Hub from Uniserv extracts and consolidates customer master data from a wide range of heterogeneous data sources.

Before integrating the information from these various sources into the Customer Data Hub, Uniserv's data quality tools will have already ensured that all the data is clean, structured and up-to-date.

This means that the data quality mechanism is active immediately during initial data collection, and that the consistency of customer data from every source of data is guaranteed. External data (such as from purchases or from data suppliers) can be imported cleanly, simply and quickly.

Find out more at the Uniserv website