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Big Data Then and Now

  1. 1. BIG DATA THEN AND NOW What we can learn from the ancients
  2. 2. Big Data in the Ancient World ■ The library at Alexandria was the center of Big Data in the ancient world ■ Created in 300 BC by Ptolemy II of Egypt ■ People from around the world would gather and spend their entire lives studying
  3. 3. The Ancients are Relevant Today ■ The Ancients used Big Data to make discoveries that changed the world ■ Euclid’s Geometry is taught even today ■ Eratosthenes, using the shadow of the sun at the summer solstice, calculated the circumference of the earth ■ They knew the importance of Big Data to discover ‘Big Answers’
  4. 4. 'Big Questions' of Today ■ Big Data is used even today to answer some pressing questions ■ What are the building blocks of the Universe? ■ Can genomics help improve the health of mankind? ■ What is the future of our planet? ■ Can we solve world hunger? ■ Can we survive climate change?
  5. 5. Big Data in the 21st Century ■ Institutions even today gather information on a large scale ■ Similar to a technologically advanced library at Alexandria ■ The data is then used by researchers in their projects to analyze ‘Big Questions’ ■ This often leads to breakthroughs ■ Big Data is as important now as it was in the ancient world
  6. 6. Big Data Institutions – CERN ■ The European Organization for Nuclear Research ■ CERN made the World Wide Web available to all of humanity ■ The Large Hadron Collider collects data on a massive scale — one experiment can provide data for more than 140 countries to study
  7. 7. Big Data Institutions – ExAC ■ Exome Aggregation Consortium constitutes an organization of scientists studying genes sequencing data ■ Aims to identify genetic mutations and improve cures and disease prevention ■ DNA sequencing data from more than 60,000 people facilitates the study of genetic variation ■ Data and services available to variety of projects and public
  8. 8. Big Data Institutions – NERSC ■ National Energy Research Scientific Computing Center ■ A high performance computer facility for scientific research ■ It is the primary scientific computing facility for the departments of science and energy in the US ■ Facilitates the study of more than 6000 scientists researching a variety of ‘Big Questions’
  9. 9. Big Data Institutions – Brookings ■ More than a century old think tank with one of the largest budgets ■ Has more than 300 leading experts all over the world ■ Three broad goals ■ Strengthen American democracy ■ Foster the economic and social welfare, security, and opportunity of all Americans ■ Secure a more open, safe, prosperous, and cooperative international system
  10. 10. Big Data in Finance ■ Financial institutions are constantly looking for information advantage ■ 2.5 quintillion bytes of data are created on a daily basis ■ It helps them develop ■ Customer insight ■ High-frequency trading ■ Risk management ■ Regulatory compliance ■ Credit worthiness ■ Commodity trading
  11. 11. Big Data in Finance ■ Facts and Figures ■ 41% of banks use advanced Big Data tools ■ 71% of financial institutions believe Big Data gives them a competitive edge ■ 37% have implemented Big Data technology for operations and customer efficiency ■ 60% get an additional return on data assets
  12. 12. Big Data in Retail ■ Big Data analytics in retail process ■ Predicting trends ■ Forecasting demand ■ Optimizing pricing ■ Personalize shopping experiences ■ Retailers are embracing a ‘data-first’ action plan ■ Helps them understand and match a customer to the right product
  13. 13. Big Data in Retail ■ Use Cases ■ eBay ■ Handles extreme data velocity: 6 billion writes and 5 billion reads everyday ■ Amount of data stored: 250 TBs ■ Groupon ■ Relies on information from customers and vendors thus making daily seamless deal transactions ■ Declared ‘The fastest growing company ever’ by Forbes magazine ■ Amazon ■ One of the best models of ecommerce Big Data utilization ■ Data collected from 800,000 sellers and 40+ million monthly visitors
  14. 14. Big Data in the Automotive Industry ■ Big Data sources for this industry ■ Sensors ■ Machines ■ Social media ■ Driver behavior
  15. 15. Big Data in the Automotive Industry ■ Big Data has helped the industry ■ Increase customer loyalty ■ Improve vehicular performance and maintenance ■ Reduce warranty costs ■ Improve dealer performance ■ Also in the works ■ Usage-based Insurance aligns driving behavior with premium rates ■ Smart phones can now read mileage and driving behavior using apps
  16. 16. Big Data in the Automotive Industry ■ General Motors ■ Developed new Big Data centers with almost 37,000 servers ■ Plans to spend $ 546 million on expanding their new data centers with a focus on ■ Dealership Performance ■ Personalized Marketing ■ Telematics and Connected Smart Cars
  17. 17. The Future of Big Data ■ Data volumes will continue to expand ■ Data analytics will emerge strongly, the growth of Microsoft and Salesforce stand as proof ■ Machine Learning, a key strategy for data preparation and predictive analysis ■ A chief data officer will soon become a standard and aspirational post ■ Data-as-a-service business will soon spread
  18. 18. Conclusion ■ All the information in the ‘Data Lake’ of antiquity would now fit in an underwhelming 500 GB ■ Information more durable and easily disseminated today ■ The goal remains the same – to amass and analyze data so that discoveries and growth can flourish
  19. 19. More Information ■ If you have an idea or want to innovate, contact us on: www.extentia.com/contact-us ■ Write to inquiries(at)extentia.com or call +91 20 6728 5200 (India)/+1-408-627-4094 (United States)

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