Data Analytics Guide: Transforming Data into Insights
Key Components
- Data Collection
- Data Processing
- Analysis Methods
- Visualization
Data Collection
1. Sources
- Internal systems
- External APIs
- User interactions
- IoT devices
2. Methods
- Real-time streaming
- Batch processing
- API integration
- Manual input
3. Quality
- Validation rules
- Cleaning processes
- Error handling
- Quality metrics
Processing Methods
Cleaning
- Data normalization
- Error correction
- Duplicate removal
- Format standardization
Transformation
- Data aggregation
- Feature engineering
- Data enrichment
- Format conversion
Storage
- Data warehousing
- Data lakes
- Database systems
- Cloud storage
Integration
- System connectivity
- Data pipelines
- API management
- Workflow automation
Analysis Methods
1. Descriptive
- Statistical analysis
- Pattern recognition
- Trend identification
- Summary metrics
2. Predictive
- Machine learning
- Forecasting models
- Regression analysis
- Classification
3. Prescriptive
- Optimization models
- Decision support
- Scenario analysis
- Action planning
Visualization
1. Charts
- Line graphs
- Bar charts
- Scatter plots
- Heat maps
2. Dashboards
- Interactive displays
- Real-time updates
- Custom views
- KPI tracking
3. Reports
- Automated generation
- Custom formatting
- Distribution systems
- Interactive elements
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