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  2. Forecasting - Wikipedia

    en.wikipedia.org/wiki/Forecasting

    Forecasting. Forecasting is the process of making predictions based on past and present data. Later these can be compared (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general ...

  3. Economic forecasting - Wikipedia

    en.wikipedia.org/wiki/Economic_forecasting

    Economic forecasting is the process of making predictions about the economy. Forecasts can be carried out at a high level of aggregation—for example for GDP, inflation, unemployment or the fiscal deficit —or at a more disaggregated level, for specific sectors of the economy or even specific firms. Economic forecasting is a measure to find ...

  4. Cash flow forecasting - Wikipedia

    en.wikipedia.org/wiki/Cash_flow_forecasting

    Cash flow forecasting is the process of obtaining an estimate of a company's future cash levels, and its financial position more generally. [1] A cash flow forecast is a key financial management tool, both for large corporates, and for smaller entrepreneurial businesses. The forecast is typically based on anticipated payments and receivables.

  5. Demand forecasting - Wikipedia

    en.wikipedia.org/wiki/Demand_forecasting

    Demand forecasting is 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 analytics to estimate customer demand in consideration of key economic conditions. This is an important tool in optimizing ...

  6. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    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.

  7. Autoregressive integrated moving average - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_integrated...

    Autoregressive integrated moving average. 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 ...

  8. Delphi method - Wikipedia

    en.wikipedia.org/wiki/Delphi_method

    The Delphi method or Delphi technique (/ ˈ d ɛ l f aɪ / DEL-fy; also known as Estimate-Talk-Estimate or ETE) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method that relies on a panel of experts.

  9. Product forecasting - Wikipedia

    en.wikipedia.org/wiki/Product_forecasting

    Product forecasting is the science of predicting the degree of success a new product will enjoy in the marketplace. To do this, the forecasting model must take into account such things as product awareness , distribution , price , fulfilling unmet needs and competitive alternatives.

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