Why is it important to understand different types of analytics?
Different types of analytics answer different questions and guide decision-making appropriately.
Name the four main types of analytics.
Descriptive, Diagnostic, Predictive, Prescriptive
What is descriptive analytics used for?
Summarizing and understanding past and current data to identify trends and patterns.
Give an example of descriptive analytics.
Example: Sales reports showing monthly revenue totals.
What is diagnostic analytics used for?
Understanding why something happened by examining causes and relationships in the data.
Give an example of diagnostic analytics.
Example: Investigating why a product’s sales dropped in a specific region.
What is predictive analytics used for?
Anticipating future outcomes or trends based on historical data.
Give an example of predictive analytics.
Example: Forecasting next quarter’s demand for a product.
What is prescriptive analytics used for?
Recommending actions or strategies to optimize outcomes based on predictions and objectives.
Give an example of prescriptive analytics.
Example: Suggesting the optimal marketing budget allocation to maximize sales.
______ analytics answers “what happened?”, while ______ analytics answers “why it happened?”.
Descriptive, Diagnostic
______ analytics predicts future outcomes, and ______ analytics recommends actions.
Predictive, Prescriptive