Reporting the single version of the truth

The consolidation of your corporate facts and figures into a data warehouse enables your organization to derive information from your organization's processes, using common definitions. Your organization will get a better insight and will be able to report full exact figures within time and budget.

Sounds too good to be true? It does not have to. At Invantive, we can provide you with data warehousing and reporting solutions that help you improve your bottom line and meet compliance regulations. We can provide you with all required components in a succesfull data warehousing implementation by:

• Project management;
• Requirements establishment, including auditing needs;
• Functional modelling;
• Technical construction;
• Operational construction and maintenance;
• Roadshows and evangelists to introduce the concept to your users;
• Auditing

Results

Results on data warehousing from the last years include:

• Corporate data warehouse, including financials, marketing and risk measurement;
• Regulatory reporting datamart, using unified definitions and filled from information from a large number of operational systems;
• Risk measurement datamart, using unified definitions;
• Real estate datawarehouse, consolidating multiple sources of financial and budgeting information into a unified view on real estate projects.

Related Articles

June 25, 2008: Application Controls (IT Governance)

An article on the relevance of application controls, including common problems and tips for their resolution. This article appeared in the IT Governance series of IT Beheer Magazine

September 29, 2007: Clean sweep in databases

An article about making a clean sweep in databases, published in the september edition of the Tijdschrift Administratie in 2007. Make the yearly clean sweep of your databases unnecessary!

Oct 18, 2006: Modern traders require realtime datawarehousing

An article was published in the October issue of Banking Review, presenting our vision on minimum considerations to make before jumping into a real-time datawarehousing project.

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