When you apply advanced mathematical operations such as statistical analysis or automated algorithms capable of finding patterns that allow you to anticipate results, you have come across the different forms of predictive analytics. These techniques, when applied to the structures of large companies, allow you to discover the future activity, behavior and trends of key indicators for the business. They provide valuable information to help organizations make better business decisions. Although this type of analytics provides valuable knowledge, it does not directly automate decision-making.

applications of predictive analysis

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    Anticipating the demand for a product, enable you to better plan for its replenishment.
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    Detecting a customer’s propensity to purchase a particular product or service, making a more personalized offering tailored to their needs and interests possible.
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    Predicting equipment breakdowns in the short term, based on historical data of its activity in such a way that it is possible to plan maintenance in advance.
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    Identifying operations or patterns of fraudulent behavior and defaults before they occur in order to take action to mitigate them.

decide, with its extensive experience in the development of solutions based on analytics techniques, has established itself as the leading company in the design of predictive analytics-based systems. Our goal is to always improve operational efficiency, as well as to ensure the complete integration of our solutions into our clients’ systems.

Predictive model-based solutions are key to anticipating the future and making the right decisions while being more efficient or simply reducing operational risks.

How dare we speak of the laws of chance? Is not chance the antithesis of all law?

Bertrand Russell,
Calcul des Probabilités

How dare we speak of the laws of chance? Is not chance the antithesis of all law?

Bertrand Russell,
Calcul des Probabilités