This month wraps up a three-part series that began by describing key elements of a business case followed by why single point estimates fail to provide stakeholder buy-in. Examples describing the different characteristics of estimates were discussed ranging from single point through various probability distributions. An example cost forecast was generated using Monte- Carlo simulation. Monte-Carlo simulation and subsequent analysis can be run using spreadsheet and add-in software. Decisioneering’s add-in software package Crystal Ball is used for this discussion series.

Today, I will advance concepts from the first two discussions and apply them to a generic data warehouse financial model. Emphasis will be placed on the business contribution of the solution. Some cost analysis is addressed within the labor category since it tends to be the most expensive component. However, the major focus is geared toward the areas of solution that contribute to the business.

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