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The information captured in the online business cases is automatically fed into GenSight’s decision support models that enable consistent and objective assessment of investment proposals.
Real Time Analytical Support to Make More Informed Decisions
GenSight’s decision support tools enable you to combine both hard and soft data in order to:
Prioritize projects and investment proposals according to the expected return to the business Support Go/Kill decisions Visualize and data mine through large quantities of data to identify key insights Quantify probability of success – eg. for risk factoring of expected returns Analyze risks according to fundamental factors driven by nature and goals of projects – eg. complexity, external uncertainties, marketing and competitive risks, technology risks etc. Use multi criteria scorecards to systematically analyze many dimensions of the business – eg. Scorecards can cover strategic alignment, market attractiveness, competitive advantage, financial potential, risk, innovation etc.
GenSight enables you to combine hard and soft data. The exact combination of parameters is flexible and configurable according to your business needs. The following give typical examples of hard and soft data that you may wish to utilize.
Examples of hard data in GenSight:
Cost estimates, either as total cost or broken out into expense categories (eg. capex, operating, admin, program spend etc), and if required broken down over time. Sales forecast data, either point forecasts or projections over time Profitability and cash flow forecasts, can be calculated automatically from input data Financial data extracted from ERP accounting systems Financial ratios and metrics calculated by GenSight from your raw data – eg. NPV, ROI, economic profit etc. Resource estimates and associated costs Market and competitive data – eg. Market size, growth, market share Other metrics or key performance indicators, including basic numeric data or timing information Any calculated metrics derived using GenSight’s flexible calculation engine.
Examples of soft data in GenSight:
Classification schemas configured to your organization – you can have any number of these to categorize projects/initiatives into areas such as business unit, market, technology, location, project type, stage etc. Linkage to strategic goals – what goal(s) does each project support, and to what degree Structured questions with multiple choice answers – to capture judgemental information in a repeatable way Utility scores associated with different situations/characteristics identified by structured questions (it’s a bit like psychological profiling for projects) Semi quantitative data – eg. Range estimates such as ‘Market size is in the range $10-20 million’. Scorecards that combine multiple criteria with weights, and can be nested inside other scorecards to build composite models
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Integrated Software Solution
Best Practice Methodology
Flexible, Configurable, Easy to Use
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