Emerging trends in BI - Big DataJul. 2012 - Girish ViswanathanThe contents of this document are proprietary and confidenti...
Table of Contents 1.   What is Big Data 2.   How Big data helps 3.   Capturing its value 4.   Challenges
What is Big Data                                      Click                                  stream data                  ...
How Big data helps                                      Faster Business Decisions                                    Aggre...
Big data—capturing its value                           Source - Mckinsey
Challenges Big Learning Curve – Paradigm Shift Technology Stack is young Protecting Privacy Addressing increasing real tim...
Challenges with leveraging Big data technologies in entire landscape
EndThe contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed...
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Event : Seminar on Business Intelligence Trends
Topic :Big data
Date : Friday, July 20, 2012 at 10:30am
Location : Technopark

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  1. 1. Emerging trends in BI - Big DataJul. 2012 - Girish ViswanathanThe contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed in whole or in partat any time, to any third party without the prior written consent of Infosys Technologies Limited.© 2011 Infosys Technologies Limited. All rights reserved. Copyright in the whole and any part of this document belongs to InfosysTechnologies Limited. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole or in part, in anymanner or form, or in any media, without the prior written consent of Infosys Technologies Limited. Information in this document is updated as of Feb 20, 2010
  2. 2. Table of Contents 1. What is Big Data 2. How Big data helps 3. Capturing its value 4. Challenges
  3. 3. What is Big Data Click stream data Transaction Sensor data Big Data data Volume + Velocity+ Variety= Value Location Social geo data Media data
  4. 4. How Big data helps Faster Business Decisions Aggregated Intelligence Forecasting Real Time Innovative Business Analytics Value Storage Growth of Information Assets
  5. 5. Big data—capturing its value Source - Mckinsey
  6. 6. Challenges Big Learning Curve – Paradigm Shift Technology Stack is young Protecting Privacy Addressing increasing real time needs with increasing data volumes and variety Leveraging cloud computing for storage and processing
  7. 7. Challenges with leveraging Big data technologies in entire landscape
  8. 8. EndThe contents of this document are proprietary and confidential to Infosys Technologies Limited and may not be disclosed in whole or in partat any time, to any third party without the prior written consent of Infosys Technologies Limited.© 2011 Infosys Technologies Limited. All rights reserved. Copyright in the whole and any part of this document belongs to InfosysTechnologies Limited. This work may not be used, sold, transferred, adapted, abridged, copied or reproduced in whole or in part, in anymanner or form, or in any media, without the prior written consent of Infosys Technologies Limited. Information in this document is updated as of Feb 20, 2010

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