Twitter and Mediasift Partnership

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Nick Halstead

Slides presented at Data 2.0 conference on the announcement of the Partnership of Twitter and Mediasift

Technology

NICK HALSTEAD

@NIK
RYAN SARVER

@RSARVER

MINING THE TWEET

REAL-TIME OUTPUT

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DATA FILTERING
CSDL - Curation Stream Definition Language

AUGMENTATIONS

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LEXALYTICS TRENDS

BIGSTORE

REAL-TIME OUTPUT

170 MILLION (daily)

BIGSTORE

REAL-TIME OUTPUT

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BIGSTORE

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BIGSTORE

HBASE POST-PROCESSING MAP-REDUCE EXPORTING

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HBASE POST-PROCESSING MAP-REDUCE EXPORTING

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Insurance companies face several challenges like industry consolidation, regulatory pressures, shrinking margins, and along with that, demands from shareholders and stakeholders are quite high to stay competitive. In order to stay competitive, they need to transform their processes and operations, improve profitability, reduce cost and meet the ever growing need for improved customer service. See how MphasiS utilizes various technology resources to improve the insurance industry's operations.

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Twitter and Mediasift Partnership

1. NICK HALSTEAD @NIK RYAN SARVER @RSARVER

2. REALTIME TWITTER DATA MINING @DATASIFT

3. WHAT IS IN A TWEET?

4. WHAT IS IN A TWEET?

5. MINING THE TWEET 170 MILLION (daily)

6. MINING THE TWEET 170 MILLION (daily)

7. MINING THE TWEET REAL-TIME OUTPUT 170 MILLION (daily)

8. DATA FILTERING CSDL - Curation Stream Definition Language

9. AUGMENTATIONS KLOUT PEERINDEX QWERLY LEXALYTICS TRENDS

10. BIGSTORE

11. BIGSTORE REAL-TIME OUTPUT 170 MILLION (daily)

12. BIGSTORE REAL-TIME OUTPUT 170 MILLION (daily) BIGSTORE

13. BIGSTORE HBASE

14. BIGSTORE HBASE POST-PROCESSING

15. BIGSTORE HBASE POST-PROCESSING MAP-REDUCE

16. BIGSTORE HBASE POST-PROCESSING MAP-REDUCE EXPORTING

17. BIGSTORE HBASE POST-PROCESSING MAP-REDUCE EXPORTING API

18. BIGSTORE

19. WHAT CAN YOU BUILD?

20. @STOCKSIFT

21. @STOCKSIFT

22. @STOCKSIFT

23. @CLUSTERAPP

24. @CLUSTERAPP

25. @CLUSTERAPP

26. USE CASES / VERTICALS • Below are some of the use cases from the Alpha programme.  This is a con7nuously evolving set of applica7ons, based upon market feedback. Mining Oil & Gas Exploration Sports Utilities Energy Automobiles Crisis Management Industrials Aerospace / Defence Basic Resources Events / Trigger Reputation Management Banking Chemicals Financial Services Construction Monitoring Risk Analysis Data Analysis Insurance Industrial Goods Research Property Brand Marketing Viral Campaigns Airlines Influencing Media Shipping Qualitative Feedback Transportation Rail CRM Health Pharmaceuticals Augmented Research Healthcare Technology Government Telecommunications Retail / Consumer F&B Personal Goods Travel & Leisure

27. DATASIFT.COM @DATASIFT

Twitter and Mediasift Partnership

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Editor's Notes