Big Data

Big Data

1. BI&A and Big Data Analytics have become increasingly important over the past two decades

2. Opportunities associated with data analysis in different organizations have helped generate significant interest in BI&A

3. BI&A includes business centric practices and methodologies that can be applied to various high-impact applications

4. Evolution

   • BI&A 1.0 DBMS-Based, Structured Content
     • * RDBMS & Data warehousing, *ETL & OLAP, *Dashboards & Scorecards, *Data mining & Statistical Analysis
   • BI&A 2.0 Web-Based, Unstructured Content
     • *Information retrieval and extraction, *Opinion mining, * Question answering, *web analytics and web intelligence, *Social media analytics, *Social network analysis, *spatial-temporal analysis
   • BI&A Mobile & Sensor-Based Content
     • * Location - aware analysis, * Person-centered analysis, * Context-relevant analysis, *Mobile visualization &HCI

5. Applications: From Big Data to Big Impact

   • e-Commerce and Market intelligence
     • Impacts: long-tail marketing, targeted and personalized recommendation, increased sale and customer satisfaction
   • e-Govenrment and Politics 2.0
     • Impacts: Transforming governments, empowering citizens, improving transparency, participation, and equality
   • Science and Technology
     • Impacts: S&T advances, scientific impact
   • Security and Public Safety
     • Improved public safety and security
   • Smart health and Wellbeing
     • Improved healthcare quality, improved long-term care, patient empowerment

6. Emerging Research

   • (Big) Data Analytics
   • Text Analytics
   • Web Analytics
   • Network Analytics
   • Mobile Analytics