Prescriptive analytics is in charge of collecting data, recommending actions and forecasting what impact they will have to facilitate and automate decision-making, identifying the best decision, which is vital to the so-called business intelligence.
The knowledge offered by the disciplines of predictive analytics is usually the information base or preliminary step for the application of prescriptive analytics techniques.
Prescriptive analytics relies on two key disciplines: business rules management systems and mathematical optimization algorithms. These techniques and mathematical algorithms make it possible to automate complex decision-making, improving the operational efficiency of the companies using them. In this changing and competitive market, the application of this type of techniques helps companies to stand out and lead their markets.
applications of prescriptive analysis:
Prescriptive analytics solutions can be applied to sectors as diverse as healthcare, financial services, insurance, manufacturing, transport, retail, and in areas as varied as sales or sales force, marketing, supply chain, production or human resources.
At decide, we have extensive experience in facilitating and streamlining the day-to- day activities of companies across different sectors using prescriptive analytics-based solutions. Learn about our success stories wherein we helped our clients improve their operational efficiency, which was key to the success of their most critical areas.
Intelligence consists not only in knowledge, but also in the ability to apply knowledge in practice.
Aristóteles
Intelligence consists not only in knowledge, but also in the ability to apply knowledge in practice.
Aristóteles