About this service
1. Descriptive Analytics: Evaluates historical data to explain what happened (e.g., monthly revenue reports, KPI tracking).
2. Diagnostic Analytics: Drills into variance and patterns to understand why it happened (e.g., root-cause analysis, churn drivers).
3. Predictive Analytics: Uses statistical models and machine learning to forecast what is likely to happen next (e.g., demand forecasting, risk assessment).
4. Prescriptive Analytics: Recommends specific actions to achieve the best possible outcome what should we do (e.g., dynamic pricing algorithms, route optimization).
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What happens after you start
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- 02
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