Big Data and Analytics

Big Data and Analytics

1. BI&A 1.0

   • DBMS-based, structured content • RDBMS & data warehousing • ETL & OLAP • Dashboards & scorecards • Data mining & statistical analysis

2. 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

3. BI&A 3.0

   • Mobile and sensor-based content • Location-aware analysis • Person-centered analysis • Context-relevant analysis • Mobile visualization & HCI

4. Maximizing value of Business Analytics

   • Speed to insight
     • Automation
     • Business Requirements
     • Reuse
     • How to drive Speed of Insight
       • Data Standards
       • Agile methods
       • Co-location
       • Shadowing
       • Templates
   • Pervasive use
     • How to drive pervasive use
       • Photographs
       • Advanced Visualization
       • Dashboards
       • Graphic designers
       • iPads
       • Collaboration
     • Graphics
     • Mobility
     • User Engagement

5. key attributes among analytics competing companies

   • Widespread use of modeling and optimization.
   • An enterprise approach.
   • Senior executive advocates.

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