Know Before You Leap

The True IT Pitfall

Harvard Business School did a study a few years back which evaluated IT projects that went out of control. The average cost of a black swan project was $167 million, the largest one was $33 billion—and most projects were expected to take many years to complete. The average project overrun was 27%—but that figure masks a far more alarming one. Many projects’ budget overruns reveal a “fat tail”—a large number of gigantic overages. Harvard’s study determined that one in six of the projects are a black swan, with a cost overrun of 200%, on average, and a schedule overrun of almost 70%.

Wouldn’t it be great if you could predict which projects wouldn’t be successful, and more importantly the reasons why?

Wouldn’t it be great if you could predict which projects wouldn’t work, and the reasons why?

Now there is a solution! M Corp’s ReM Score™ allows you to get the results you want and drive investment decisions based on knowledge of which of your projects will succeed. ReM Score measures your company’s ability to deliver on an idea before you invest. By addressing root cause issues that prevent technology projects from succeeding, ReM Score provides executives the data necessary to prioritize only projects that have the capacity to succeed.

Think of it as the ‘credit score’ for technology project investing.

Before you move forward, run a ReM Score™ on each initiative to understand if the investment can yield the results promised. ReM Score supports data driven decision making and puts you back in control.

ReM Score™ utilizes a weighted, data driven model that analyzes 14 domains of evaluation.

Aggregated data from your scored initiatives delivers metric-driven health measurements of your business. You’ll clearly understand where the roadblocks exist that can prevent your projects from succeeding.

When the initiative scoring is complete, ReM Score™ generates a report outlining detailed data that can be shared, providing your organization with a graphical representation of degrees of risk and vulnerability.

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