"Smart Wikis help companies achieve better organisational decisions"

• Assumptions are explicitly stated and are visible to decision makers, allowing them to assess how much weight to give to the recommendations and reducing the cost of performing quality assurance tasks. Evidenced is placed at the centre of all important decisions, reducing the occurrence of bad decisions due to optimism bias or herd mentality.

• The business can review its exposure to certain assumptions across its portfolio of analysis, highlighting where management attention needs to be focused, and where additional ‘informational’ actions may be needed.

• Information is shared across analytical projects, ensuring that when different projects report, they are based on a common foundation allowing management to compare ‘apples with apples’. This harmonization of assumptions across the business helps keep alignment between different business units and the overall business strategy.

• Heuristics or rules of thumb are used within communities of practice as they go about their regular analytical or engineering work. The Smart Wiki facilitates the capturing of these important numbers and makes them available for the entire organisation, reducing the cost of future work and also lowering the costs of on-boarding new analysts.

• Information is provided by specialists operating within their domain of expertise and is always kept in context, reducing the occurrence of errors where the wrong number is applied to the given problem.

• Changes to assumptions or heuristics can be made in one place, with all models, past and present updated automatically. This reduces errors associated with using outdated assumptions.

• The organisations has access to historical information about how key assumptions have changed over time. Allowing them to understand how well their decision making processes are working, and how well the company reacts to changes in the business environment. This provides a basis for continuous improvement in business units that provide analysis as their core competency.