Causal
Forecasts
Data Perspectives
Demand Forecasting
Collection
Data Analysis
Revenue Forecasting
Forecasting Techniques
Evaluating Impact through Data 
Statistical Analysis: Employing statistical techniques to determine relationships and
causal effects
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Financial Forecasting New product launches, market entry strategies
Causal Forecasting Identifies relationships between variables to predict future trends
...
Forecasts They are further divided into time series and
causal models
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Data Perspectives Diagnostic Analysis Explains why something happened by identifying correlations and
causal relationships
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Demand Forecasting Time Series Analysis
Causal Models Regression Analysis Methods of Demand Forecasting There are several methods used in demand forecasting, each with its advantages and disadvantages: Qualitative Methods
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Collection Groupthink, dominant participants Experiments Controlled environment,
causal relationships Artificial settings, limited generalizability Online Databases Accessible, comprehensive
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Data Analysis (K)
Identifying correlations and
causal relationships
...
Revenue Forecasting Causal Models: Uses external factors to forecast revenue, often incorporating multiple variables
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Forecasting Techniques Causal Models: These models establish relationships between variables
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Demand Planning Causal Methods Identifies relationships between demand and external factors (e
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