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Oracle Product Overview – VII : ( Data Quality)

Posted on January 19th, 2013 by Sanjit Anand |Print This Post Print This Post |Email This Post Email This Post

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Data quality covers all processes and technologies to make sure all relevant information is complete and correct. For this, it is necessary to have a range of
controls from the point of data capture all the way to signing off the annual report.

Data quality management needs to be:

  • Preventive, having processes and systems that do not allow any data capture mistakes;
  • Detective, to check if this is the case, as one may not have control over all necessary data; and
  • Corrective, to make sure problems with data quality are solved.

Typically Requirement for any data quality software consist of these core functional requirements as:

  • Data profiling: assessing the data to understand its overall degree of accuracy
  • Data standardization : utilizing a business rules engine to ensure that data conforms to pre-defined quality rules
  • Generalized "cleansing": The modification of data values to meet domain restrictions, integrity constraints or other business rules that define when the quality of data is sufficient for an organization.
  • Matching and Linking – Comparing data to align similar but slightly different records
  • Monitoring: Deploying controls to ensure that data continues to conform to business rules that define data quality for the organization.
  • Enrichment: Enhancing the value of internally held data by appending related attributes from external sources

1 Oracle Enterprise Data Quality

Helps organizations achieve maximum value from their business-critical applications by delivering fit-for-purpose data.

Enable individuals and collaborative teams to quickly and easily identify and resolve any problems in underlying data.

With Oracle Enterprise Data Quality products, customers can identify new opportunities, improve operational efficiency, and more effectively comply with industry or governmental regulation.

More details can be obtained from datasheet.

1 Oracle Hyperion Data Relationship Management enables your organization to proactively manage changes in master data across operational, analytical and enterprise performance management silos. Business users may make changes in their departmental perspectives while ensuring conformance to enterprise standards.

Whether processing financial information such as cost centers, accounts, and legal entities or analytical information such as members, dimensions, hierarchies, and their attributes, Oracle Hyperion Data Relationship Management delivers timely, accurate and consistent master data to drive ongoing operational
execution, business intelligence and performance management.

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