Prescriptive Asset Management Solutions Market: Current Trends, Opportunities and Challenges

Analytics is the computational analysis of a set of data. The field of analytics has evolved over a period of time. It used to be descriptive in nature and used historical data to analyze situations and actions. Later, descriptive analytics was further refined to diagnostic analytics, which provided reasoning for actions. With further advancements in computational technology, the approach of predictive and prescriptive analytics came into existence. Predictive analytics helps decision makers to mathematically predict the future. On the other hand, prescriptive analytics helps decision makers to take action regarding future events.

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Prescriptive analytics and maintenance are computing tools that use modern technologies such as artificial intelligence, machine learning, as well as pattern recognition to create efficient decision making for asset management. They are used to monitor equipment performance at the premises and also predict performance expectations. Anyone responsible for asset management can reap the benefits of prescriptive analytics. Original equipment manufacturers (OEM), maintenance organizations, or any third party service providers can use prescriptive analytics to efficiently manage assets.

Prescriptive analytics draws data from business intelligence, enterprise asset management (EAM), enterprise resource planning (ERP), and other enterprise information systems. Using these data, the solution frames ‘what if’ conditions of all the possible results. Each option is critically evaluated in order to arrive at the optimal course of action. Prescriptive analytics saves time and significantly reduces human error since the outcome is created by the combination of predictive modelling, machine learning, and statistical algorithms.

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Prescriptive maintenance continuously monitors the asset and immediately identifies any asset failure. It is not limited to predicting failure like predictive analytics. It has a larger canvas. Prescriptive analytics helps in strategic decision making for the maintenance of the asset throughout its life cycle.

Therefore, the prescriptive approach to asset management has several benefits. It helps in providing real-time data analysis and improves asset performance by significantly reducing downtime.