Business Intelligence (BI) Definition: transform data into actionable insights that inform an organization’s strategic and tactical business decisions. Benefits: • Faster analysis, intuitive dashboards • Increased organizational efficiency • Data-driven business decisions Why Organizations need BI: • To respond to threats and opportunities Examples: • Political parties - Model the influence of social media on election outcomes • Government - Analyze performance of public benefits programs • Hospitals - Predict patient volume and resource utilization
저자: Khairul Danub
1. Database (DB) Definition: an organized collection of structured information, or data, typically stored electronically in a computer system Advantages: • Minimal data redundancy • Improved data consistency • Increase security • Improved data quality • Improved data accessibility and sharing Types of DB: • Centralised database • Distributed database • SQL database Database Softwares: • Oracle • Microsoft SQL Server • Microsoft Access
2. Advanced Analytics
3. Data Warehouses Definition: electronic storage of a large amount of information, typically used to correlate broad business data to provide greater executive insight into corporate performance. Advantages: • Enhances Business Intelligence • Saves Time • Enhances Data Quality and Consistency Examples: Banking - market research, performance analysis of the product. Government - maintain and analyze tax records, individual's health policy records Retail: customer buying pattern, promotions and determining pricing policy
4. Intelligent system
5. Knowledge Management System
6. Advanced Analytics (AA) Definition: an umbrella term for a group of high-level methods and tools that can help you get more out of your data or predict Benefits: • strong support for day-to-day business decisions • improved insight and perspective for planning, forecasting and decision-making, Why Organizations need AA: • To resolve challenges and confusions by delivering fact-based and future-oriented insights Examples: • Data Mining • Machine Learning • Intelligent Systems or AI
7. Geographic Information Systems (GIS)
