Big data + mobile + social
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The document discusses the evolution of business intelligence into 'Business Intelligence 2.0' and the significance of big data in transforming decision-making. It highlights the importance of context and insights derived from data while addressing the challenges of irrelevant data and the necessity for effective analysis. Additionally, it touches on the integration of mobile and big data, the implications for various industries, and the importance of privacy in the context of data utilization.
![Any information is
only as good as its
[SOURCE]
________
Tuesday, March 12, 13](https://image.slidesharecdn.com/bigdatamobilesocial-130322024307-phpapp01/85/Big-data-mobile-social-11-320.jpg)
![COEXISTENCE [SoMoBi]
60% 50%
60% 30%
Tuesday, March 12, 13](https://image.slidesharecdn.com/bigdatamobilesocial-130322024307-phpapp01/85/Big-data-mobile-social-36-320.jpg)
![COEXISTENCE [SoMoBi]
Internet of Things
M2M --> P2M
70% abandonment rate
^ what does this mean?
Tuesday, March 12, 13](https://image.slidesharecdn.com/bigdatamobilesocial-130322024307-phpapp01/85/Big-data-mobile-social-37-320.jpg)
Big data + mobile + social
- 2. Tuesday, March 12, 13
- 3. “... software is eating the world” Marc Andreessen - Entrepreneur/Investor WSJ - 20AUG2011 Tuesday, March 12, 13
- 4. Tuesday, March 12, 13
- 5. “Data ... LOTS of DATA.” Tuesday, March 12, 13
- 6. Business Intelligence is dead Tuesday, March 12, 13
- 7. Business Intelligence is dead LONG LIVE BUSINESS INTELLIGENCE! Tuesday, March 12, 13
- 8. WELCOME TO Business Intelligence 2.0 Tuesday, March 12, 13
- 9. WELCOME TO Business Intelligence 2.0 Tuesday, March 12, 13
- 10. WELCOME TO BIG DATA Tuesday, March 12, 13
- 11. Any information is only as good as its [SOURCE] ________ Tuesday, March 12, 13
- 12. “We have Petabytes of Clickstream data” Tuesday, March 12, 13
- 13. ...but, can you use it ? Tuesday, March 12, 13
- 14. Even if you can, will it be #useful ? Tuesday, March 12, 13
- 15. ...wait, what IS “BIG DATA” ? Tuesday, March 12, 13
- 16. It’s all about the context. INFORMATION + INSIGHTS = CONTEXT Tuesday, March 12, 13
- 17. + Tuesday, March 12, 13
- 18. INFORMATION TIME DEVICE } }{ = ANYONE ANYWHERE BETTER FASTER BIG DATA RIGHT DECISIONS Tuesday, March 12, 13
- 19. Data + Transformation INFORMATION Rules + Feedback + Patterns INSIGHTS BIG Information + Insights DATA BIG + SERVICES $$$ DATA Tuesday, March 12, 13
- 20. REAL WORLD EXAMPLE Geo Locate the user. Identify the IP address based on geo- location. Designated Market Area precision. Geofences around “hot-spots”. #Fail Tuesday, March 12, 13
- 21. How does the “system” know - you are a Mom ? Tuesday, March 12, 13
- 22. HOW WE DO IT First we “profile” a lot of users - Behavioral Dynamics Then we begin “associating” you with those profiles - Heuristic driven rules. We find out that you are a “woman” - Training sets -> Increased Confidence We then identify patterns - Clustering based data mining Tuesday, March 12, 13
- 23. ID’ed using Device Data from the “same user” + + impression when they were near a school Pattern of a parent in the morning on a weekday + + and when they were at a nail Pattern of a female user salon during school hours + + and toy store browsing late in Re-affirmation of the the afternoon. } pattern LIKELIHOOD OF BEING A MOM Tuesday, March 12, 13
- 24. BIG DATA IRRELEVANT RELEVANT INFORMATION INTERPRETABLE UNINTERPRETABLE Tuesday, March 12, 13
- 25. NOISE RELEVANT SIGNAL INSIGHT UNINTERPRETABLE Tuesday, March 12, 13
- 26. Unstructured Batch Data Variety Velocity Streaming Big Data Structured Data Data Zettabytes Terabytes Volume Tuesday, March 12, 13
- 27. BIG DATA LANDSCAPE Tuesday, March 12, 13
- 28. BIG DATA LANDSCAPE Log Data Apps Vertical Apps Business Analytics and Intelligence Visualization Data Providers Infrastructure Structured As Databases Analytics Operational a Infrastructure Infrastructure Service Oracle (IAAS) MySQL Hadoop MapReduce Apache HBASE Cassandra Tuesday, March 12, 13
- 29. DATA IN MOTION vs. DATA AT REST Tuesday, March 12, 13
- 30. APPLICATIONS vs. ANALYTICS Tuesday, March 12, 13
- 31. DATA VELOCITY vs. JUDGEMENT CALL Tuesday, March 12, 13
- 32. HOW BIG IS BIG ? $28 billion of IT spend through 2012 2 million jobs in the tech industry by 2015 6 million across other industries. Tuesday, March 12, 13
- 33. MOBILE + BIG DATA Tuesday, March 12, 13
- 34. WHERE DOES MOBILE FIT IN? Data Layer Transition is in full swing Real Time analysis using time, geo- data and Social Updates Push Notifications via Intelligent Alerts It’s not just about Push. Tuesday, March 12, 13
- 35. WHERE DOES MOBILE FIT IN? INTERACTIVE Pinch, Swipe, Zoom, and Drag/ Drop data sources User specific themes - based on memory (usage + history) Mutual value addition to the Data Tuesday, March 12, 13
- 36. COEXISTENCE [SoMoBi] 60% 50% 60% 30% Tuesday, March 12, 13
- 37. COEXISTENCE [SoMoBi] Internet of Things M2M --> P2M 70% abandonment rate ^ what does this mean? Tuesday, March 12, 13
- 38. VERTICALS + BIG DATA Tuesday, March 12, 13
- 39. SALES Social + Context + Location = $$$ Facebook + Twitter + Foursquare notifications Identify trends that lead to poor leads + losses Tuesday, March 12, 13
- 40. TELECOM Personalized products Minutes not Hours. Interpreting network data Tuesday, March 12, 13
- 41. URBAN PLANNING Aging Infrastructure High Costs of Maintenance Traffic Data, Sewer Level monitoring Fight Crime Tuesday, March 12, 13
- 42. OTHER SECTORS Fraud Analysis + Risk + Compliance Copyright + IPP “This call may be recorded for Quality Assurance and Training purposes” Sentiment Analysis and Social Media Tuesday, March 12, 13
- 43. McKinsey Report on Big Data - 2012 Tuesday, March 12, 13
- 44. Predicting Unemployment $ Foreclosure Tuesday, March 12, 13
- 45. BIG DATA BECKONS... Tuesday, March 12, 13
- 46. BIG DATA IN ACTION “Meta” “Big” “Swoooooosh” “Privacy” “Structure” Tuesday, March 12, 13
- 47. BIG DATA ADOPTION Skynet’s here. Pay for Privacy Avoid Stalkers 76 working days Privacy advocates vs Company Policy Tuesday, March 12, 13
- 48. “BIG DATA has it’s roots in good data” Data Exhaust is no longer an excuse. Not a replacement, but a complement. INTEGRATION. Tuesday, March 12, 13
- 49. “BIG DATA has it’s roots in good data” - anonymous brilliant thinker(s) Data Exhaust is no longer an excuse. Not a replacement, but a complement. INTEGRATION. Tuesday, March 12, 13
- 50. THANK YOU, Tuesday, March 12, 13
- 51. 04.25.2013 #show&tell (open call) 06.20.2013 #mobileGAMES (all play & no work) Tuesday, March 12, 13