How Predictive Analytics Increases Returns on Investments (ROI) - dummies

How Predictive Analytics Increases Returns on Investments (ROI)

By Anasse Bari, Mohamed Chaouchi, Tommy Jung

Predictive analytics can help you increase return on investment (ROI) through targeted marketing campaigns, improved risk assessment and management, reducing operational costs, and making actionable decisions.

By implementing predictive analytics, companies can accurately assess the present state of the business, optimize their operations, and compete more effectively in gaining market share. By scoring the predictive outcomes of future events, and using that information to their advantage, companies can improve their revenue and enhance the business performance as a whole. Deploying successful predictive models can help companies minimize risk and increase revenue across the board.

When embarking on your predictive analytics projects, be sure to document everything meticulously and methodically. It’s equally important to establish a baseline before launching so you can accurately measure the ROI after the launch. You can calculate the improvement in ROI by measuring the enhancements of business processes and the improvement to the overall production as a result of implementing predictive analytics.

Automating predictive analytics and extending it to all areas of business are two important and strategic ways to increase ROI. Sharing and coordinating the results of predictive analytics conducted by any one department with results obtained by other departments increases the benefits of those analytical projects. Among the different departments, synergies emerge that you can capitalize on.

Increasing the number of successful business decisions always leads to better performance. Informed decisions — backed up with accurate predictive scores — increase the confidence of management in decisions that resulted from deploying predictive analytics models. Better decision-making, on the basis of more accurate information, is the core of predictive analytics.

The more those models are deployed and used, the more relevant they become — and the more they contribute to the success of the business. Successful models, run long and often, can provide a consistent increase in longer-term ROI.