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Early Warning & Scenario Analysis Toolkit

Posted by | Fuld & Company , Fuld & Company

Conduct Scenario Analysis and establish an early warning system that keeps your company one step ahead of market trends + competitors.Early Warning Toolkit

Early warning programs empower business executives to anticipate external threats and opportunities in a structured, evidence-based manner.

Analyzing scenarios and employing systematic monitoring of today’s marketplace through a continuous framework enables accurate decision-making when, and even before, the competitive landscape shifts.

Building an early warning program is not easy.

It’s one thing to define a competitor set or rank specific growth opportunities, but designing, funding, resourcing, and implementing a company monitoring program for all potential eventualities can seem overwhelming to the point of paralysis.

In fact, we found that even after successfully charting their
market position, identifying strategic risks and analyzing scenarios of future disruption, the majority of firms fail to incorporate monitoring programs into their strategic plans. Scenario analysis mitigates the danger of lack of foreknowledge and diminished decision-making power.

So how can companies build early warning programs from scratch?

Through scenario planning. Scenario planning provides a structured framework to develop corporate early warning systems.

With a proven four-step approach, the Fuld & Company framework provides the methodology and best practices to prepare your business for an uncertain future.

The Early Warning & Scenario Analysis Toolkit empowers your organization to:

1. Pinpoint the most relevant industry dynamics and drivers of market disruption

2. Develop and analyze scenarios for plausible future outcomes and determine key indicators to track

3. Establish critical success factors that will drive your company’s unique monitoring program

4. Implement an Early Warning Program to ensure execution and implementation and to activate reporting

Download the Toolkit:



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