DQC Benefits

Key Benefits

Data Quality

Ataccama DQC is designed to be used as the main hub for data quality management within your organization. DQC delivers centralized management for business rules and data quality, all controlled from one location. Whether it is external master data systems or other data sources, DQC enables data from such sources to be integrated and managed under one data quality platform.

Flexibility and Open Standards

The solution is easily configured using bundled administration applications. Operation does not require any external tools or other 3rd party applications. DQC is platform independent, based on open standards (XML, Web Services), and uses data models portable across many existing database platforms.

Unique Profiling

For fast data analysis, DQC utilizes advanced semantic profiling functionality. Profiling allows users to analyse large sets of data in near-interactive mode.

Data Enrichment with External Reference Data Sources

DQC easily taps into external data sources to retrieve records such as addresses in billing databases. DQC utilizes name, organization, academic titles and other dictionaries to parse and validate input data. This functionality can be extended with custom dictionaries such as phone number lists or other dictionaries.

Advanced Core Functionality

The core system functionality is comprised of a set of algorithms capable of hierarchical unication by identier keys irrespective of internal data structures. Utilizing the determined keys DQC can perform approximate matching in record unication.

Deployment

Ataccama DQC is fully compatible with other platforms used in the industry. This is achieved by leveraging proven JAVA technology compatible with a wide range of platforms. Such technology is easier to integrate with existing IS/ICT infrastructure.

Cost Effective

Ataccama DQC delivers rich functionality and easy implementation for surprisingly low cost. In addition, by leveraging modern platforms and code optimization techniques this solution requires a significantly less powerful platform than that of our competitors.

Modern & Powerful

Ataccama DQC uses parallel data processing methods to ensure scalability. Furthermore, it enables incremental data processing in both batch and on-demand online processing modes.

Solution for Complete DQ Management Cycle

Ataccama DQC has an advanced built-in functionality to support all stages of Data Quality management:

• Data Quality Assessment: Data Profiling and advanced data analysis to determine the scope of data quality problems
• Data Cleansing: improving quality of individual records
• Data Enrichment: complete the data using external datasources
• Match & Merge: correctly match related records and create a representative “golden record”
• DQ Firewall: prevent low quality data from enter the systems by leveraging DQC as a validation part of data entry application
• DQ Reporting & Monitoring: setup and run DQ reports periodically to monitor quality of your data

Support for Key DQ Processes:

Cleansing and identification

• Address cleansing and identification
• Customer data cleansing, deduplication and enrichment
• Individuals
• Legal Entities

Enterprise-wide Data Quality Management initiatives

• Data Governance
• Data Stewardship

Project-based use to prevent unwanted surprises in data quality:

• Data Integration
• ETL
• EAI

Selected References