Avoid Pitfalls of Predictive Analysis

Avoid Pitfalls of Predictive Analysis

There are plenty of lessons in predictive analysis models, according to a 2011 white paper, “Worst Practices in Predictive Analysis,” by Information Builders, a company that focuses on enterprise business intelligence and Web reporting software solutions. Here is how to avoid them:

Determine the ROI. When planning to implement predictive analysis, consider the total cost and the anticipated return to ensure the maximum value is achieved.

Focus on bottom-line initiatives. Create models that provide forward-looking information to help solve specific problems, like a very low graduation rate, or to help achieve certain goals, like improving math performance in at-risk students.

Prepare the data correctly. Guarantee the most accurate possible results by ensuring all the data are properly accessed before the models are created and applied.

Evaluate the model without overevaluating. The model must be tested to ensure that it provides better decision-making capabilities over current analysis methods.

Share the results. The insights that result from the predictive analysis must be shared with everyone across the district, including teachers, counselors and parents.


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