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Operational : decision preparation, what is at stake ?

To prepare a decision requires exploring all its possible consequences, keeping in mind all its ins and outs and evaluating its risks and opportunity exposure. Often, corporations require that those tasks meet a consensus from all involved managers in order to guaranty the relevance of decisions and the quality of its implementation. A forecasting modelization tool is required to achieve it. It would enable a quick, easy and collaborative generation of necessary scenarios. However, classical tools, such as spreadsheets or CPM tools :

• are poorly compliant with these requirements : they are difficult to use, maintain and share,
• dissuade from willing to anticipating consequences of decision with a forecasting model because of the cost of doing it,
• push to rely on one sole analyst to build and maintain the forecasting model generating therefore relevance and credibility risks,
• make difficult the transfert of model managemenr to a tier person
• delay decision maturation because of the difficulty of using them
• make difficult model sharing between decision makers
• are useless for an effective decision monitoring (i.e. rolling forecast)
• make models not reusable for next decision on the same subject

Therefore, improving decision process quality requires new modelization tools. As a matter of facts, decision evaluation costs a lot and creates low value with classical tools. Accordingly, preparation and follow-up tools for decision makers, even though their graphical user interface did better, did not improve functionaly since more than 10 years, specially in terms of consensus making, reliability and time to decision .>>>