FUTURE TRENDS of BI
by Begum Dogan
1. Change due to / Trends
1.1. Data types
1.2. Cloud computing
1.3. Increasing demand
1.4. Location intelligence
1.5. Social Enterprises
2. DSS
2.1. What it was?
2.1.1. Simon - Bounded Rationality
2.1.2. Centralized decision making
2.1.3. Batch computing
2.1.4. 1970s - transition from mainframe to minicomputers
2.1.5. Distributed computers
2.1.6. less conceptual research
2.1.7. Group DSS
2.1.8. computer supported cooperative work (CSCW)
2.2. What it is?
2.2.1. Knowledge Management Based DSS
2.2.2. Data warehousing
2.2.3. Negotiating Support System (NSS) + AI
2.3. What it will be?
2.3.1. KMDSS with noSQL
2.3.2. Data warehousing - ETL
2.3.3. Social Media
2.3.4. Mobile
2.3.5. Customer Centric SS
2.4. Decision types
2.4.1. Structured
2.4.2. Semi-structured
2.4.3. Unstructured
3. Trends of Development
3.1. Pervasive BI
3.2. Operational BI - close to real time
3.3. Pay as you Drive
3.4. Easy scaling
4. What it will be?
4.1. KMDSS with noSQL
4.2. Data warehousing - ETL
4.3. Social Media
4.4. Mobile
4.5. Customer Centric SS
5. Targets of BI
5.1. Single or multiple BI apps
5.2. Infrastructure
5.3. Organizational Change
6. Environment
6.1. Internet became delivery system for BI
6.2. Source Systems
6.3. Data Integration - ETLs
6.4. Data Storage - data marts, warehousing
6.5. Application Users
6.6. Metadata and Data Quality
6.7. BI Governance
7. What was BI?
7.1. Sprague's DSS Framework
7.1.1. foresaw current BI
7.2. Alter's DSS TAxonomy
7.2.1. data or model driven
7.3. Power's DSS Taxonomy
7.3.1. Communications Driven
7.3.2. Data Driven
7.3.3. Document Driven
7.3.4. Knowledge Driven
7.3.5. Model Driven