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Compliance and data governance efforts require high-quality data. Use data monitoring to transform your business rules into interactive controls on data quality.
Traditionally, data quality has been defined as a narrow set of data cleansing activities, such as correcting customer names, verifying addresses or finding and eliminating duplicate records. With DataFlux's business rules monitoring capabilities, DataFlux extends the concepts of data quality to validating and correcting business rules for data.
Business rules monitoring gives you the ability to:
- Enforce data governance rules - Every organization has standards for how data should be managed and handled. Business rules monitoring allows you to enforce these standards as automated business rules.
- Create customized rules to validate and audit operational processes - You can establish a rule that the 12 monthly payments in one system equal the total annual customer value in another system.
- Understand and refine mission-critical processes - Exceptions or violations to business rules are logged in a repository, allowing you to see and address trends.
Enforce business rules in real time across the enterprise
By monitoring business rules, you can ensure the accuracy of information and build a more dynamic way to understand the impact of bad data on your organization. Data-specific business rules may include validating numeric calculations, detecting unexpected variances, testing domain values against a list of acceptable values, or validating data in other systems before allowing a transaction to continue.
DataFlux allows you to monitor data sources and transactions to determine adherence to these user defined data rules. When violations are detected, the engine can:
- Trigger a set of events which may include automatically correcting the data
- Notify users of rule violations
- Log rule violations to the DataFlux repository
- Perform other customized tasks as directed
Now, organizations can reuse business rules that govern data quality in both batch and real-time environments - and validate information as it flows throughout the organizations. Business users can view rule exceptions as well as track the number of violations over time directly within DataFlux technology. And, through the industry's most advanced SOA architecture, organizations can expose these rules as Web services along with traditional data quality services.