Quality Assurance in Corporate Financial Planning.pdf

Quality Assurance in Corporate Financial Planning

Jochen Martin

It has been recognized long before the financial crisis that a precise forecast of business figures is essential. Faulty hedge-positions resulting from inefficient exposure planning can increase hedging costs. Similar costly effects can result from imprecise liquidity planning, even if insolvency is avoided. Challenges for optimizing corporate financial planning data integration preceding the risk management are even greater in global companies due to distributed and heterogeneous data generation processes. Research and contribution in this thesis address process and data related challenges through evaluation studies based on empirical data. The process-driven part evaluates the effect of corporate financial planning redesign based on an appropriate business process redesign model for multinational enterprises. Thereby, the focus is on a flexible execution structure and the three process related quality dimensions timeliness, completeness, and consistency. The data-driven research part comes up with new quality metrics for financial planning data and their benchmarking against the forth quality dimension accuracy. That way, previously unknown business insights are derived.

Quality assurance processes are put in place to provide some comfort that the end product is what you want. Quality control is making sure the end product really is what you want. That can still be a bit confusing so this article will walk through some examples to clarify the difference between Quality Assurance vs. Quality Control. Manufacturing Bernie Alaimo - Quality Assurance & Planning

3838137353 ISBN
Englisch SPRACHE
Quality Assurance in Corporate Financial Planning.pdf


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