Important requirements for predictive analytics How does predictive analytics work in detail? These three central requirements should definitely be met in predictive analysis: 1. Data In order to be able to use the advantages of predictive analytics, you must create the necessary conditions. This includes collecting as much relevant data as possible.
The term “relevant” is crucial because corporate processes generate numerous data packages that do not advance your analysis or are irrelevant to the predictive C Level Contact List analytics methods you have chosen. It is also important to implement a professional data management system. This gives you access to all company data and can process it specifically.
You can evaluate each data set using algorithms and send it to the responsible authorities. 2. Corporate culture and infrastructure In addition, with predictive analytics you have to decide which corporate culture you want to maintain and which infrastructure you want to use. Basically there is a choice between large data warehouses and small databases.
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