Strategic Position Assessment 

Strategic Position Assessment

Portfolio decisions and resource allocation priorities are critical to leadership, and indeed survival. The ability to make complex strategic decisions based upon objective and rigorous criteria is essential. GenSight helps you to answer vital strategic questions, such as: Which markets or businesses are the most attractive and why? What products should you grow? How much should you invest and when?

GenSight is built on an extensive base of best-practice methodologies to master the complexities and practicalities of fact-based strategic planning. The result is that GenSight brings the strategy process to life in a robust and highly visual way, by enabling you to:

  • Visualize complex strategic issues from different perspectives
  • Set realistic strategic goals and monitor key drivers of business performance
  • Run simulations to compare alternative strategies
  • Align investment programs and projects with strategic goals
  • Test business plans against different scenarios and highlight risks or uncertainties
  • Track strategy deployment programs against key milestones



Fact Based Strategic Planning

GenSight enables you to evaluate market attractiveness, competitive advantage and financial value in order to develop strategies for market segmentation, positioning and resource allocation. GenSight supports a range of proven strategy models, including:

  • Boston Matrix
  • GE Matrix
  • Directional Policy Model
  • Porter Model
  • Competitive Advantage
  • Life Cycle Analysis
  • Value Based Management

Industry and Competitor Analysis

GenSight can be deployed throughout the enterprise, resulting in a fact-based strategic model of the entire corporation, your industry, competitors and future plausible scenarios. You can drill-down to see individual SBUs, products, market segments, channels, competitor analysis, current market position, evolution over time, different scenarios and simulation of alternative strategies.

GenSight supports modelling of complex industry and competitive situations using relationships among a large number of discrete variables and composite scorecards including market attractiveness, value, product strength, competitive advantage, profit potential etc.

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