Hyperion Financial Data Quality Management (aka FDQM)

Oracle Hyperion Financial Data Quality Management is a packaged solution for finance users that helps develop standardized financial data management processes with its Web-based guided workflow user interface. Its data preparation server can ease integrating and validating financial data from any of your source systems. And to further reduce your data integration costs as well as data mapping complexities, Oracle Hyperion Financial Data Quality Management includes prepackaged adapters for Oracle Hyperion Financial Management, Oracle Hyperion Planning, Oracle Hyperion Strategic Finance, Oracle’s Hyperion Enterprise, Oracle Essbase, and Oracle E-Business Suite.

That is how the Oracle website describes the product. It is important to note that the solution is targeted towards ‘finance users’ meaning they will have limited programming ability meaning there wouldn’t be much hardcore programming involved, instead the data loading will be done via steps that would be easy for a ‘finance user’ to execute.

I’ve been getting a lot of queries regarding this product and I thought it would be a good idea to start a series on this product as well. A lot of requests have come in for a installation/configuration guide just like the Hyperion Planning – System 9: Installation Guide. The good news is that I have started work on the guide and plan to roll one out very soon. After the guide is published I will start a follow up series to answer any questions I get from my readers.


2 thoughts on “Hyperion Financial Data Quality Management (aka FDQM)

  1. The Hyperion Financial Management comes with lots of out of the box tools, which makes it easy to enter rules for financial users and others, the great thing is when you do have more complex, the original consultants that installed the suite will be able to assist you with that.

    • FDQM is a separately licensed product. While most people will be able to get by without having to license FDM, it certainly boasts features that will definitely make tasks easier. Specially when it comes to handling massive volumes of data.

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