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Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. [1]
Demand forecastingis the prediction of the quantity of goods and services that will be demanded by consumers at a future point in time.[1] More specifically, the methods of demand forecasting entail using predictive analyticsto estimate customer demand in consideration of key economic conditions. This is an important tool in optimizing business ...
Predictive modelling uses statistics to predict outcomes. [ 1] Most often the event one wants to predict is in the future, but predictive modelling can be applied to any type of unknown event, regardless of when it occurred. For example, predictive models are often used to detect crimes and identify suspects, after the crime has taken place.
Strategy. Porter's generic strategies describe how a company pursues competitive advantage across its chosen market scope. There are three/four generic strategies, either lower cost, differentiated, or focus. A company chooses to pursue one of two types of competitive advantage, either via lower costs than its competition or by differentiating ...
In statistics and econometrics, and in particular in time series analysis, an autoregressive integrated moving average ( ARIMA) model is a generalization of an autoregressive moving average (ARMA) model. To better comprehend the data or to forecast upcoming series points, both of these models are fitted to time series data.
Decision trees used in data mining are of two main types: Classification tree analysis is when the predicted outcome is the class (discrete) to which the data belongs. Regression tree analysis is when the predicted outcome can be considered a real number (e.g. the price of a house, or a patient's length of stay in a hospital).
Absorption pricing. This pricing method aims to recover all the costs of producing a product. The price of a product includes the variable cost of each item plus a proportionate amount of the fixed costs: Unit Variable Costs + (Overhead + Managing Costs) ÷ Number of units produced = Absorption Price. Fixed or variable costs, direct or indirect ...
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