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Predictive Modeling: Principles and Practices

Predictive modeling””the use of historical performance alongside a forecasting algorithm””helps organisations predict future outcomes. This PDF presentation from Northrop Grumman looks at the continuum of best practice ranging from an industry minimum of programme performance oversight, through the industry best practice programme analysis reporting. It also explores the use of predictive programme health analysis used by industry innovators. First, the PDF explains how the use of predictive modeling is on the rise, with several areas of business (healthcare, emailing systems, Microsoft SQL's integration with predictive analysis) already utilizing a predictive modeling structure. Next, the PDF provides a chart where levels of “Mission Assurance” are listed, starting with the industry minimum (proactive project management) and ending with industry innovators (who utilize predictive program health). Predictive modeling allows for a test of “gut-feelings” that otherwise would be ignored or followed without any analytical data to support the effort. It also allows for a better process of determining necessary resources and timeframes, as the analysis can help better understand the needs and impact of a project.

About Matthew Kabik

Matthew Kabik is the former Editor of Computer Aid's Accelerating IT Success. He worked at Computer Aid, Inc. from 2008 to 2014 in the Harrisburg offices, where he was a copywriter, swordsman, social media consultant, and trainer before moving into editorial.

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