From Predictive Maintenance to Predictive Marketing Clearly
Posted: Sat Jan 18, 2025 4:46 am
By collecting the "everything", the mess, you can let the "what" overcome the "why". Let's take a less "colossal" example, the manholes in New York. The company in charge of maintenance began to rigorously record the interventions carried out during the year on the exploded manholes, combined with data on the manholes themselves (how old, in what area).
By studying this big data , it was possible to develop a mathematical model that predicted in real time with a very good probability which manholes were about to explode, solving the chinese overseas america phone number list problem at the root and avoiding possible damage to people and things. A real statistical prediction of the future , which we define as " predictive maintenance " (maintenance based on forecasts).
Marketing with Big Data:the discussion can be extended from maintenance to strategic marketing . Big data can also and above all help to increase turnover and the services offered to customers . Imagine for example a company that produces industrial machinery.
By installing sensors in the machines, in the production line, it is possible to record different concrete processes, such as the functioning of the different components. This data can be accumulated, collected and organized in a dashboard updated in real time . Even in this case, the maintenance purposes can be different: foresee the replacement of a piece or of the machine in its entirety.
By studying this big data , it was possible to develop a mathematical model that predicted in real time with a very good probability which manholes were about to explode, solving the chinese overseas america phone number list problem at the root and avoiding possible damage to people and things. A real statistical prediction of the future , which we define as " predictive maintenance " (maintenance based on forecasts).
Marketing with Big Data:the discussion can be extended from maintenance to strategic marketing . Big data can also and above all help to increase turnover and the services offered to customers . Imagine for example a company that produces industrial machinery.
By installing sensors in the machines, in the production line, it is possible to record different concrete processes, such as the functioning of the different components. This data can be accumulated, collected and organized in a dashboard updated in real time . Even in this case, the maintenance purposes can be different: foresee the replacement of a piece or of the machine in its entirety.