Data quality is considered important for most information-centric industries (e.g. banking, financial services ...).
The GIDS Data Quality and Verification (DQV) Product Suite is a suite of applications that provides companies with the ability to measure and monitor the quality of their data in a fully automated manner. Using these applications, organizations can perform the following tasks.
- Auto-generate data quality metrics for all business-critical data objects
- Measure and monitor improvements in the data quality metrics with time
- Automatically create list of errors (based on pre-defined business rules) and provide these to data stewards.
Context
Most organizations find it difficult to measure and monitor the quality of their information assets.
Faced with extremely complex and dynamic data environments, Data Management Teams rarely have enough resources to understand the quality of their information, leave alone the capability to fix data errors. With time, the quality of the information in an organizations databases goes down, and numerous operational problems emerge, sometimes with serious business consequences.
Without adequate data verification at the data entry points, entropy sets in, and the quality information decreases. With continous change in the data landscape and continuous staff turnover, Data Management leaders find it impossible to maintain high quality data. Given the constraints of limited budgets all that can be done, is ad-hoc data quality management.
In an ideal situation, organizations would possess software that is continuously scanning the data environment and measuring the quality of the information on a continuous basis. All violations of enterprise data quality standards are automatically forwarded to data stewards, and errors are fixed before they can flow to downstream systems. Data quality dashboards provide the state of the data environment, and metrics related to completeness, duplication, conformity, consistency, integrity and timeliness. With both business data stewads and technical data adminstrators, having access to the data quality repository via secure web access, enterprise data managers can provide the business user community with an audit of business data quality at any point in time.
This is exactly what the Global IDs DQV Suite provides.

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