Retired from Procter & Gamble after 27 years. Now consulting extensively. Background in mathematics, working on a wide variety of modeling, supply chain, analysis, expertise, business intelligence and social media applications.
Contact at: Franzdill AtSignHere Gmail.com
Very good general question that we have been discussing for years, well, really decades. Started way back in the spreadsheet era, when you empowered users to build 'models' of any kind. Afterwards we were sometimes brought in to clean up the mess. I would go back to a risk analysis. What are the risk implications of giving a wrong answer? How wrong? Depending on the answer to that, what kind of model checks the answer? Who/what decides the answer is right? Need the results be formally checked at all? How can this cautionary checking be properly automated?