COMPONENTS OF BUSINESS ANALYTICS

 

1. Data Management

   • Collecting, storing, and organizing data from various sources.

   • Databases, data warehouses, and cloud storage play key roles.

2. Descriptive Analytics

   • Summarizing historical data to understand what has happened.

   • Tools: dashboards, reports, data visualization.

3. Diagnostic Analytics

   • Investigating why something happened.

   • Uses techniques like drill-down, data discovery, and correlation analysis.

4. Predictive Analytics

   • Using statistical models and machine learning to forecast future outcomes.

   • Involves regression analysis, classification models, time series analysis.

5. Prescriptive Analytics

   • Recommending actions based on data to achieve desired outcomes.

   • Optimization, simulation, and decision analysis are involved here.

6. Data Visualization

   • Presenting data findings in easy-to-understand formats like charts, graphs, and dashboards.

   • Helps stakeholders quickly grasp insights.

7. Statistical Analysis

   • Applying statistical tests and models to validate hypotheses and trends.

   • Fundamental for both predictive and diagnostic analytics.

8. Machine Learning and Artificial Intelligence

   • Advanced algorithms that allow systems to learn from data and make decisions with minimal human intervention.

   • Essential for automation and advanced predictive capabilities.

9. Business Intelligence Tools

   • Software solutions that help in gathering, processing, and analyzing data (e.g., Power BI, Tableau, QlikView).

10. Decision Support Systems

    • Systems designed to help businesses make informed decisions based on data analysis.