Monetizing Big Data
MONETIZING
BIG DATA
Fred Sim @ iExperience
Topics
• What is considered as Big Data?
• Impact of Big Data to Enterprises.
• Direct & Indirect Values.
• How Big Data can be Monetized?
• Industry Use Cases.
• Future Thoughts.
What is Big Data?
Big data is the term for a collection of
data sets so large and complex that it
becomes difficult to process using on-
hand database management tools or
traditional data processing applications.
How Did it Come About?
GLOBALIZATION
Internet saturation
growing at 8%
annually.
Internet of Things
9B devices by 2016.
DATA EXPLOSION
4300% data
generation increase
by 2020.
40 Zetabytes
(43 Trillion GB).
RISE OF
MOBILITY
Smartphone
shipments to top 1B
annually by 2016.
SOCIAL IS
BUSINESS
30 billion pieces of
content on Facebook
shared every month.
400 million Tweets
sent per day.
MODERNIZE TO
SURVIVE
Most U.S.
Companies have at
least 100 TB of
business data.
Point of View
• Not all large Data Sets is Big Data.
• Not all unstructured Data is Big Data.
• Big today but not Big tomorrow.
• Is it all about the four V’s?
• It is not the Data but the Analytics.
• Collaboration of Business, Science & Technology
Impact of Big Data to Enterprises
• Transparency of the data being made readily available.
• Real-time decision making tailored to customers.
• Intelligent Data makes Enterprises more competitive.
• Reduce risk in making decision and unlocking new businesses.
• Moving from the Knowledge Economy to the Intelligent
Individuals.
Impact of Big Data to SMBs
• Compete effectively with transparency of data.
• Flexibility and Agility to adapt to your customers.
• Able to find niches in a highly competitive areas.
• Enterprise are slow to transform the core business.
• Take advantage of the smarter and savvy customer base.
Direct Correlation
Indirect Correlation
• Customers discussion/feedback via Social Media.
• Identifying inefficiencies and gaps in your business.
• Understanding changes and direct competition.
• Identifying changes (eg. economic, environmental, consumer)
indirectly impacting your business.
• Ability to see emerging pattern from collective data.
Decision Making
How Big Data can be Monetized
• Monetized only if can be consumed.
• Variety enhances value of outcome.
• Analyzed in continuity as it changes.
• Correlated with Business information.
• Available through subscription.
• Platform for Collaboration via Cloud.
USE CASE
Environment
BRAZIL’S AMAZON
RAINFOREST
BRAZIL’S AMAZON
RAINFOREST
BY 80%
BETWEEN 2004-2012
USE CASE Retail
Future Thoughts
• Big Data, is the new Marketplace.
• Data is the future currency for Businesses.
• The need to have Data Exchanges.
• Understanding these outcomes requires multi-
domain collaboration.
• Step forward towards collective intelligence.
• Ability to share Data remains to be the challenge.
References & Data Sources
• Wikipedia: Big Data Definition
• Globalization: United Nations / International Telecommunications Union
• Data: IDC/EMC 2011 Digital Universe Study, 2010 Digital Universe Decade Study,
Data Revolution Sept 2011, CSC's Leading Edge Forum
• Mobility: Portio Research Mobile Factbook 2012
• Social: Facebook Director of Global SMB Markets Dan Levy, BIA/Kelsey’s Interactive
Local Media West Conference
• Modernization: IBM’s The FOUR V’s of Big Data
• Brazil’s Amazon Rainforest: Oracle Open World Video 2013.
• Straits Times: Jun 10, 2013 - Make Singapore a shopping paradise again.
• Fast Company: How Companies Like Amazon Use Big Data To Make You Love Them
• Groupon: The Groupon Great Singapore Sale 2013 Survey

IDA iExperience - Monetizing Big Data

  • 1.
    Monetizing Big Data MONETIZING BIGDATA Fred Sim @ iExperience
  • 2.
    Topics • What isconsidered as Big Data? • Impact of Big Data to Enterprises. • Direct & Indirect Values. • How Big Data can be Monetized? • Industry Use Cases. • Future Thoughts.
  • 3.
    What is BigData? Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on- hand database management tools or traditional data processing applications.
  • 4.
    How Did itCome About? GLOBALIZATION Internet saturation growing at 8% annually. Internet of Things 9B devices by 2016. DATA EXPLOSION 4300% data generation increase by 2020. 40 Zetabytes (43 Trillion GB). RISE OF MOBILITY Smartphone shipments to top 1B annually by 2016. SOCIAL IS BUSINESS 30 billion pieces of content on Facebook shared every month. 400 million Tweets sent per day. MODERNIZE TO SURVIVE Most U.S. Companies have at least 100 TB of business data.
  • 5.
    Point of View •Not all large Data Sets is Big Data. • Not all unstructured Data is Big Data. • Big today but not Big tomorrow. • Is it all about the four V’s? • It is not the Data but the Analytics. • Collaboration of Business, Science & Technology
  • 6.
    Impact of BigData to Enterprises • Transparency of the data being made readily available. • Real-time decision making tailored to customers. • Intelligent Data makes Enterprises more competitive. • Reduce risk in making decision and unlocking new businesses. • Moving from the Knowledge Economy to the Intelligent Individuals.
  • 7.
    Impact of BigData to SMBs • Compete effectively with transparency of data. • Flexibility and Agility to adapt to your customers. • Able to find niches in a highly competitive areas. • Enterprise are slow to transform the core business. • Take advantage of the smarter and savvy customer base.
  • 8.
    Direct Correlation Indirect Correlation •Customers discussion/feedback via Social Media. • Identifying inefficiencies and gaps in your business. • Understanding changes and direct competition. • Identifying changes (eg. economic, environmental, consumer) indirectly impacting your business. • Ability to see emerging pattern from collective data. Decision Making
  • 9.
    How Big Datacan be Monetized • Monetized only if can be consumed. • Variety enhances value of outcome. • Analyzed in continuity as it changes. • Correlated with Business information. • Available through subscription. • Platform for Collaboration via Cloud.
  • 10.
  • 11.
  • 12.
  • 13.
  • 17.
    Future Thoughts • BigData, is the new Marketplace. • Data is the future currency for Businesses. • The need to have Data Exchanges. • Understanding these outcomes requires multi- domain collaboration. • Step forward towards collective intelligence. • Ability to share Data remains to be the challenge.
  • 18.
    References & DataSources • Wikipedia: Big Data Definition • Globalization: United Nations / International Telecommunications Union • Data: IDC/EMC 2011 Digital Universe Study, 2010 Digital Universe Decade Study, Data Revolution Sept 2011, CSC's Leading Edge Forum • Mobility: Portio Research Mobile Factbook 2012 • Social: Facebook Director of Global SMB Markets Dan Levy, BIA/Kelsey’s Interactive Local Media West Conference • Modernization: IBM’s The FOUR V’s of Big Data • Brazil’s Amazon Rainforest: Oracle Open World Video 2013. • Straits Times: Jun 10, 2013 - Make Singapore a shopping paradise again. • Fast Company: How Companies Like Amazon Use Big Data To Make You Love Them • Groupon: The Groupon Great Singapore Sale 2013 Survey