Ataccama Data Quality Center (DQC) is an essential tool used in complex data quality management. DQC is designed not only to evaluate, monitor and manage quality of data in different information systems, but also to prevent incorrect data from entering such systems in the first place. Ataccama DQC is bundled with a specific set of business rules and localized dictionaries. Banks, insurance and telecommunication companies choose Ataccama DQC solution for easy implementation and tangible business gains.

Within enterprise business systems, insufficient data quality is notorious for compromising timely and accurate customer communication. Internal systems often contribute to the problem by implementing incomplete or conflicting business rules, different scoring and validation methods, or data requirements that cannot adapt to specific challenges such as those posed by foreign person attributes. A reliable identification process must be adaptable, and can be simple or complex. Some solutions take a simple approach based on specific and consistent identifier keys (e.g., social security or other legal entity identification numbers) which are often subject to human data input errors. Such identifier keys are often unavailable and their use can be subject to legal limitations.

Data cleansing is only a small part of data quality process. A key purpose of functional technology used in data quality is the ability to unify a multitude of records pertaining to the same subject of interest. This is known as unification functionality. Ataccama DQC enables the integration of data records from different data sources by analyzing the content, applying cleansing rules, and by validating content against specified dictionaries. Such processed data can be unified with high confidence by utilizing hierarchical unification methods delivered by Ataccama DQC solution. Further, the process enables associative pairing, including partially complete records, to be unified even when different identification key structures exist. Therefore, a single identification key is not required. When the data records are of poor quality, or insufficient key identification information impacts the unification results, the solution will explicitly mark such records with proper score and allow for manual correction.

Ataccama makes the difficult possible. The technology behind Ataccama DQC was invented to address a wide range of data quality issues such as improved customer identification process, vehicle and address identification, and ability to specify additional business criteria.

Ataccama DQ Center can be used for:

• Data quality control in transactional and analytical applications
• Data cleansing and unification during data system migrations
• Data quality assurance in software integration projects
• Quality improvements in address and contact information
• Data cleansing and unification of customer data for client identification purposes
• Customer profile validation and correction of incomplete data record
• Customer input data validation in self service online applications
• Data profiling as a part of data integration project analysis