Microsoft Project Integration
SEER Integration to Microsoft Project™ allows you to automatically construct a complete project plan from your SEER project estimate. Use the SEER Microsoft integration without any modifications or configure it to suit the needs of your business or organization. You can create custom lifecycle templates that build best practices directly into your project plans. You can also customize labor categories to reflect the way that your organization assigns tasks to departments or labor categories to accurately plan staff allocation for a project. (Applicable for SEER-SEM, SEER-H and SEER-IT).
Every SEER estimate is probabilistic. One key aspect of SEER is that it predicts outcomes. There is no such thing as a single number being an absolute estimate of the future; rather, there is a range of probable future outcomes. Ranges are a natural result of the uncertainty specified in the user inputs. SEER uses these inputs to develop probability distributions and then sends these probability distributions through SEER’s analytic machinery: the result is a probabilistic estimate. In other words, given a likely range of inputs, SEER will predict a likely range of outcomes.
SEER allows the user to proceed with analyses during various stages of the product development cycle when there may be uncertainty or a lack of information. This provides management with the insight as to the risk and uncertainty with an actual “price tag” associated with the risk, giving management a value-based decision-making capability. The user can set ranges for inputs utilizing the Least, Likely and Most fields. The associated outputs have probabilities or “confidence levels” associated with each. The probability factors are used to control and assess the level of risk included in the estimate. The respective outcomes can be viewed both in report and chart format.
- Inputs can be specified with associated asymmetrical uncertainty (probability distribution); i.e., weight and parameter inputs can be specified with different low side and high side uncertainty.
- Outputs are provided with user-selectable confidence percentages; i.e., probability of success.
- Monte Carlo simulation techniques are used to characterize risk at all levels of the product hierarchy.
All SEER products can flexibly import and export data between SEER and external applications. All SEER models are COM-enabled and come complete with a published API referred to as Server Mode. Server Mode provides an alternative to the standard user interface of any SEER solution, allowing you to interface data to and from SEER and other applications.Go Back