FINANCIAL DATA QUALITY MANAGEMENT

By - MindStream Analytics

Finance organizations need to enhance the quality of internal controls and reporting processes. To meet these goals, you need a source-to-report view of financial information. Oracle Hyperion Financial Data Quality Management allows business analysts to develop standardized financial data management processes and validate information from any source system-all while reducing costs and complexity. Fully integrated with Oracle enterprise performance management applications, Oracle Hyperion Financial Data Quality Management is the only enterprise-class system of its kind for managing the quality of financial information.

Financial Data Quality Management's data preparation server can ease integrating and validating financial data from any source system. And to further reduce data integration costs and data mapping complexities, Hyperion Financial Data Quality Management includes prepackaged Enterprise Performance Management (EPM) adapters for Hyperion Financial Management, Hyperion Planning, Hyperion Enterprise, Hyperion Strategic Finance and Oracle Essbase.

Oracle Hyperion Financial Data Quality Management eliminates the data integrity risks associated with collecting, mapping, verifying, and moving critical financial information. With it, you can build standardized, repeatable processes and avoid the typical inefficiencies of collecting financial information. These transparent processes give you greater assurance of clean data and accurate results

•End-to-end automation of the collection, mapping, verification, and movement of financial information creates a standard process that eliminates variability.•Data validations and quality checks allow you to inspect data at each step to identify errors, generate notifications, and reconcile discrepancies.•Robust reporting in Oracle Hyperion Financial Data Quality Management provides more than 85 prebuilt audit, log, system, and process management reports.

BENEFITS

•Increase quality—Improve your financial data quality and confidence in the numbers•Simplify data handling—Abridge the collection, mapping, verification, and movement of financial data•Standardize—Rely on repeatable financial processes•Reduce expenditures—Lower the cost of compliance•Improve productivity—Eliminate manual file manipulation and bottlenecks•Improve insight—Drill-through from EPM applications to transactional systems

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