after receiving all the data on customer purchased and supplier inventions, david's job is to build a statistical model to help identify trends and relationships between sales and product demand. which level of business analytics does this require?

after receiving all the data on customer purchased and supplier inventions, david's job is to build a statistical model to help identify trends and relationships between sales and product demand is predictive analytics

Data is used in predictive analytics to foretell future trends and occurrences. It forecasts prospective outcomes using past data to inform strategic decisions.

Predictions could be made for the immediate future, such as foreseeing a piece of machinery breaking down later that day, or for a longer time horizon, such as foreseeing your company's cash flows for the following year.

You can perform predictive analysis manually or with the aid of machine learning techniques. In either case, predictions regarding the future are based on historical evidence.

Regression analysis, which can establish a connection between two variables (single linear regression) or three or more variables, is a predictive analytics tool (multiple regression). A mathematical equation representing the relationships between the variables can be used to forecast the results in the event that one variable changes.

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