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The pressure on defense contractors to deliver on their commitments is under more scrutiny by stakeholders than ever before. Delivering on time and on budget is crucial.
Managing the execution on complex contracts and the network of subcontractors is a massive undertaking. To successfully manage program performance, program managers need to be able to understand the big picture and must track key performance indicators for program execution. They also have to understand the cascading effects on financial accountability, cost, efficiency, capital planning and workforce recruitment and retention.
To know which actions will improve an organization’s performance versus simply managing it, executives need a deep understanding of the factors that influence it. That understanding requires much more than a pretty dashboard sitting on top of basic reporting applications. Organizations that rely on a few shallow capabilities for performance management often find it difficult to pinpoint the root cause of performance issues, identify business opportunities, make agile decisions or sustain profitable growth.
With a thorough understanding of which measures drive their businesses, executives can align operations toward those drivers, and in turn, their long-term goals. Predictive scorecarding capabilities can tie traditional scorecard features such as traffic lights and speedometers to powerful predictive analytics. Using these capabilities, the strategy can be verified by analyzing historical trends or by creating forecasts and simulations.
By implementing SAS solutions, your organization will be able to:
- Justify effective use of government resources.
- Align budgeting and planning with strategy.
- Optimize resources and effectively manage program outcomes.
- Mitigate threats and capitalize on opportunities.
- Predict future performance of critical program milestones.
- Quickly adapt to changing requirements.
Because SAS® for Performance Management solutions are built on the SAS® Enterprise Intelligence Platform, you can have confidence in the solution’s reliability and scalability, along with the quality and consistency of data.
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