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### Data Analytics Techniques
1. **Descriptive Analytics:** Looks at past data to see what happened.
- *Example:* Reports showing past sales.
2. **Diagnostic Analytics:** Finds out why something happened.
- *Example:* Checking why sales dropped.
3. **Predictive Analytics:** Uses past data to guess future trends.
- *Example:* Forecasting next month's sales.
4. **Prescriptive Analytics:** Suggests what actions to take.
- *Example:* Recommending marketing strategies.
5. **Data Mining:** Finds patterns in large data sets.
- *Example:* Identifying customer groups.
6. **Text Analytics:** Analyzes text for useful insights.
- *Example:* Analyzing customer reviews.
### Summary:
Techniques help understand past data, find reasons, predict future trends, suggest actions, discover patterns, and analyze text.
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