Quality Assurance in Corporate Financial Planning - A Process- and Data-Driven Perspective

This thesis addresses process and data related challenges and contains two parts: the first process-driven part evaluates the effect of corporate financial planning redesign based on a business process redesign model for multinational enterprises. The second data-driven research part comes up with new quality metrics for financial planning data and their benchmarking against the quality dimension accuracy. Both research parts are investigated through evaluation studies based on empirical data.