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Data Analytics
Descriptive Analytics
- Summarize the given datasets to define the outcomes to stakeholders
- Design key performance indicators (KPIs,) to track successes or failures
- Deliver vital insights into the current and past performance
Diagnostic Analytics
- Enhancement the offering of descriptive analytics
- Retrieve more information from the discoveries of descriptive analytics and to find the root causes
- Examine the KPIs further to understand the changes (positive / negative)
Predictive Analytics
- Use historical data to identify trends to determine the likely hood of it repeating
- Use advanced analytical techniques to predict insight into what may happen in the future
- Use of variety of statistical and machine learning techniques, such as: decision trees, regression and prediction etc
Prescriptive Analytics
- Allow business to make informed Data-driven decisions from the insights out of predictive analytics
- Apply machine learning strategies which can identify patterns in the datasets
- Analyze past conclusions, results, and events to determine the probability and possibility can be estimated in relation to the current outcomes