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A Financial Database Profiler Is Your Best Design Approach

A Financial Database Profiler Is Your Best Design Approach

A Financial Database Profiler is generated upon completion of an exhaustive requirements

study that carefully combines accounting rules and database technology rules into a coherent design scenario. If you or your company cannot account for the knowledge necessary for the business systems requirements of accounting and software analysis, then you must consider contracting for these services.

Accounting is the language of business and database driven software is the modern day equivalent of a thousand bookkeepers. A successful design of your business assets to transact in the financial world is dependent on these services and your completed requirements scenario is your blueprint to satisfy your business intentions.

The profiler should be built into your database and act as a dynamic guide for continuous testing and validation of each module completed. This arrangement allows you and others to navigate the profiler tables and monitor displayed information in possibly tabbed views built into your interface.

There are hundreds of transactions necessary to satisfy the accurate and secured operation of a financial system but some of the key functions are related to transfer information tracking, record-field level data quality and table-record level accuracy as it relates to posting-validation and security associated at all levels.

Transfer information tables provide a summary of the transfer, including source and destination details, and log details. The transfer execution portion of the requirements scenario should show statistics of the overall numbers of records read, written, rejected, or skipped. These statistics can be displayed in any number of views and can easily be made available for screen reviews, files or communicated to other databases at remote locations.

As for data quality objectives, these are met by enforcing rules defined for each field at the requirements phase of the project. After that, quality of data is most effectively achieved by testing data at input transaction times. This is usually accompanied by a breakdown report of errors, warnings, and statistical data for each field. This information can also be displayed in various formats mentioned above.

By obtaining the requirements of the previous paragraphs, the validation and verification scenarios along with similar record controls at all levels will assure that transaction are posted in a secure manner and exhibit the accuracy needed to bring integrity of a well-thought-out financial system.

Remember that transaction-accounting is the language of modern day business and may not be expressive enough to match the potential created by the phenomenal growth of database-driven software technology and therefore needs the combined efforts of several well qualified professionals to put together a system that can be positioned among the best.

by: Tom Gruich
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