Causal Models
Key Analytical Techniques
Demand Forecasting
Research
Understanding Data Relationships
Evaluation
Research
Statistical Analysis for Performance Evaluation
Forecast 
Causal Forecasting: This type examines the relationship between variables to make predictions
...Overfitting: Complex
models may fit historical data too closely, failing to predict future outcomes accurately
...
Key Analytical Techniques Key Techniques Optimization: Using mathematical
models to find the best solution from a set of choices
...Key Techniques
Causal Analysis: Investigating the cause-and-effect relationships in data
...
Demand Forecasting Causal Models: Using statistical techniques to identify relationships between demand and other variables (e
...
Research Explanatory Research: Aimed at understanding the reasons behind observed phenomena and establishing
causal relationships
...Predictive Research: Utilizes statistical
models and machine learning algorithms to predict future outcomes based on historical data
...
Understanding Data Relationships Causal Relationship A relationship where changes in one variable cause changes in another
...Overfitting: In machine learning, overly complex
models may fit the noise in the data rather than the underlying relationship
...
Evaluation Predictive Analytics In predictive analytics, evaluation is essential for assessing the accuracy and reliability of predictive
models ...Theory of Change: Outlines the steps necessary to achieve long-term goals, detailing the
causal linkages between activities and outcomes
...
Research It often involves hypothesis testing and
causal analysis
...Innovation: Research fosters innovation by uncovering new business
models and opportunities through data analysis
...
Statistical Analysis for Performance Evaluation Used for forecasting and understanding
causal relationships
...Overfitting:
Models that are too complex may fit the noise in the data rather than the underlying trend
...
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 Delphi
...
Revenue Forecasting Causal Models: Uses external factors to forecast revenue, often incorporating multiple variables
...
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