big data then and now

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BIG DATA THEN AND NOW What we can learn from the ancients

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Page 1: Big Data Then and Now

BIG DATA THEN AND NOWWhat we can learn from the ancients

Page 2: Big Data Then and Now

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

Page 3: Big Data Then and Now

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’

Page 4: Big Data Then and Now

'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?

Page 5: Big Data Then and Now

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

Page 6: Big Data Then and Now

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

Page 7: Big Data Then and Now

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

Page 8: Big Data Then and Now

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’

Page 9: Big Data Then and Now

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

Page 10: Big Data Then and Now

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

Page 11: Big Data Then and Now

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

Page 12: Big Data Then and Now

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

Page 13: Big Data Then and Now

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

Page 14: Big Data Then and Now

Big Data in the Automotive Industry■Big Data sources for this

industry ■ Sensors■ Machines■ Social media■ Driver behavior

Page 15: Big Data Then and Now

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

Page 16: Big Data Then and Now

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

Page 17: Big Data Then and Now

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

Page 18: Big Data Then and Now

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

Page 19: Big Data Then and Now

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)

Page 20: Big Data Then and Now