SlideShare a Scribd company logo
1 of 9
Download to read offline
Meetup #2

Tim Owens – Scaling the Brandwatch search index
x

Beth Granter – Twitter influencer mapping
x

James Grant – Problem solving using Map Reduce
X

Sam Zindel – How Obama won with Big Data
“We are going to
measure every single
thing in this campaign”
HOW OBAMA WON
WITH BIG DATA
 • Analytics team 5x bigger than in 2008
 • Combined disparate data sources in a giant
   database
 • Donors, volunteers and voters
 • Data modelling and predictive analytics
 • Focus on swing states
HOW OBAMA WON WITH BIG DATA

 • Campaign teams accessed data through mobiles
 • Offices opened in targeted neighbourhoods
 • Channel and messaging optimised
 • Election scenario tested 66,000 per night
 • Voter at the centre of everything
HOW OBAMA WON WITH BIG DATA

 • Raised over $1 billion from donors
 • 700,000 volunteer shifts in final 4 days
 • Highly targeted ads with 14% more efficiency than
   2008
 • 1.8m votes in swing states (double 2008)
 • On election day…                           7th
HOW OBAMA WON WITH BIG DATA
Data-Driven Marketing
                         Customer
Customer   Predictive                     Marketing         Campaign    Performance
                           Value
  Data     Modelling                      Strategy          Execution   Measurement
                        Segmentation



                                        Model
                                       Refresh



                          Data                  Data
                        Collection           Requirements
How Obama Won With Big Data (Sam Zindel at Big Data Brighton)
How Obama Won With Big Data (Sam Zindel at Big Data Brighton)

More Related Content

Similar to How Obama Won With Big Data (Sam Zindel at Big Data Brighton)

Bdml Presentation
Bdml PresentationBdml Presentation
Bdml Presentation
pere4399
 
IIR_conferentie_1.2[1]
IIR_conferentie_1.2[1]IIR_conferentie_1.2[1]
IIR_conferentie_1.2[1]
Marc Govers
 
Take Your Sales Pipeline Reporting to the Next Level 05-30-2012
Take Your Sales Pipeline Reporting to the Next Level   05-30-2012Take Your Sales Pipeline Reporting to the Next Level   05-30-2012
Take Your Sales Pipeline Reporting to the Next Level 05-30-2012
vraopolisetti
 
Lecture 2 1_11_2012_data_mining_process
Lecture 2 1_11_2012_data_mining_processLecture 2 1_11_2012_data_mining_process
Lecture 2 1_11_2012_data_mining_process
kittynmhao
 

Similar to How Obama Won With Big Data (Sam Zindel at Big Data Brighton) (20)

Infogroup Corporate Story
Infogroup Corporate StoryInfogroup Corporate Story
Infogroup Corporate Story
 
ADMA Marketing Data Strategy
ADMA Marketing Data StrategyADMA Marketing Data Strategy
ADMA Marketing Data Strategy
 
Barak regev
Barak regevBarak regev
Barak regev
 
uae views on big data
  uae views on  big data  uae views on  big data
uae views on big data
 
Data mining concepts
Data mining conceptsData mining concepts
Data mining concepts
 
Data Activation For (Not So Much) Dummies
Data Activation For (Not So Much) DummiesData Activation For (Not So Much) Dummies
Data Activation For (Not So Much) Dummies
 
Big data in telecom
Big data in telecomBig data in telecom
Big data in telecom
 
Google Analytics Premium for Better Data-Driven Decisions With Swapnil Sinha
Google Analytics Premium for Better Data-Driven Decisions With Swapnil SinhaGoogle Analytics Premium for Better Data-Driven Decisions With Swapnil Sinha
Google Analytics Premium for Better Data-Driven Decisions With Swapnil Sinha
 
Turning Big Data to Business Advantage
Turning Big Data to Business AdvantageTurning Big Data to Business Advantage
Turning Big Data to Business Advantage
 
Leveraging big data to drive marketing innovation
Leveraging big data to drive marketing innovationLeveraging big data to drive marketing innovation
Leveraging big data to drive marketing innovation
 
Bdml ecom
Bdml ecomBdml ecom
Bdml ecom
 
Bdml Presentation
Bdml PresentationBdml Presentation
Bdml Presentation
 
Problems of Application of Machine Learning in the CRM - panel
Problems of Application of Machine Learning in the CRM - panel Problems of Application of Machine Learning in the CRM - panel
Problems of Application of Machine Learning in the CRM - panel
 
Simplify Data Mining Methods and Benefits Unveiled.pptx
Simplify Data Mining Methods and Benefits Unveiled.pptxSimplify Data Mining Methods and Benefits Unveiled.pptx
Simplify Data Mining Methods and Benefits Unveiled.pptx
 
IIR_conferentie_1.2[1]
IIR_conferentie_1.2[1]IIR_conferentie_1.2[1]
IIR_conferentie_1.2[1]
 
Chp11 Business Intelligence
Chp11 Business IntelligenceChp11 Business Intelligence
Chp11 Business Intelligence
 
Take Your Sales Pipeline Reporting to the Next Level 05-30-2012
Take Your Sales Pipeline Reporting to the Next Level   05-30-2012Take Your Sales Pipeline Reporting to the Next Level   05-30-2012
Take Your Sales Pipeline Reporting to the Next Level 05-30-2012
 
B2B Buyer Media Kit
B2B Buyer Media KitB2B Buyer Media Kit
B2B Buyer Media Kit
 
CRM Roadmap - Sample
CRM Roadmap - SampleCRM Roadmap - Sample
CRM Roadmap - Sample
 
Lecture 2 1_11_2012_data_mining_process
Lecture 2 1_11_2012_data_mining_processLecture 2 1_11_2012_data_mining_process
Lecture 2 1_11_2012_data_mining_process
 

More from Brandwatch

Control vs. Culture: The New Technology Operating Environment
Control vs. Culture: The New Technology Operating EnvironmentControl vs. Culture: The New Technology Operating Environment
Control vs. Culture: The New Technology Operating Environment
Brandwatch
 
Ethics and humanity in the age of technology
Ethics and humanity in the age of technology Ethics and humanity in the age of technology
Ethics and humanity in the age of technology
Brandwatch
 

More from Brandwatch (20)

Identifying and Analyzing a target audience with Analytics
Identifying and Analyzing a target audience with Analytics Identifying and Analyzing a target audience with Analytics
Identifying and Analyzing a target audience with Analytics
 
Brand protection & Crisis Aversion
Brand protection & Crisis AversionBrand protection & Crisis Aversion
Brand protection & Crisis Aversion
 
Leveraging Insights with Creative Segmentation
Leveraging Insights with Creative SegmentationLeveraging Insights with Creative Segmentation
Leveraging Insights with Creative Segmentation
 
Life As a Brandwatch Analyst
Life As a Brandwatch AnalystLife As a Brandwatch Analyst
Life As a Brandwatch Analyst
 
Intelligence: The Fundamentals
Intelligence: The Fundamentals Intelligence: The Fundamentals
Intelligence: The Fundamentals
 
Control vs. Culture: The New Technology Operating Environment
Control vs. Culture: The New Technology Operating EnvironmentControl vs. Culture: The New Technology Operating Environment
Control vs. Culture: The New Technology Operating Environment
 
Collective creativity for better intelligence
Collective creativity for better intelligenceCollective creativity for better intelligence
Collective creativity for better intelligence
 
Ethics and humanity in the age of technology
Ethics and humanity in the age of technology Ethics and humanity in the age of technology
Ethics and humanity in the age of technology
 
Digital transformation in a regulated industry
Digital transformation in a regulated industry Digital transformation in a regulated industry
Digital transformation in a regulated industry
 
Emotional Intelligence
Emotional Intelligence Emotional Intelligence
Emotional Intelligence
 
25 things we learned analyzing billions of tweets
25 things we learned analyzing billions of tweets   25 things we learned analyzing billions of tweets
25 things we learned analyzing billions of tweets
 
PSB + Aga Khan Foundation: United We Brand
PSB + Aga Khan Foundation: United We BrandPSB + Aga Khan Foundation: United We Brand
PSB + Aga Khan Foundation: United We Brand
 
Ditch the Label and Brandwatch: Mental Health Study, 2017
Ditch the Label and Brandwatch: Mental Health Study, 2017Ditch the Label and Brandwatch: Mental Health Study, 2017
Ditch the Label and Brandwatch: Mental Health Study, 2017
 
Telling a story with your social insights
Telling a story with your social insightsTelling a story with your social insights
Telling a story with your social insights
 
Combining Brandwatch and non Brandwatch data using Vizia 2
Combining Brandwatch and non Brandwatch data using Vizia 2Combining Brandwatch and non Brandwatch data using Vizia 2
Combining Brandwatch and non Brandwatch data using Vizia 2
 
How can social listening help to determine ROI?
How can social listening help to determine ROI?How can social listening help to determine ROI?
How can social listening help to determine ROI?
 
One step ahead: How Co-op uses Brandwatch to inform their business
One step ahead: How Co-op uses Brandwatch to inform their businessOne step ahead: How Co-op uses Brandwatch to inform their business
One step ahead: How Co-op uses Brandwatch to inform their business
 
Today’s Reality: Managing & Monitoring Campus Crises through Social Media
Today’s Reality: Managing & Monitoring Campus Crises through Social MediaToday’s Reality: Managing & Monitoring Campus Crises through Social Media
Today’s Reality: Managing & Monitoring Campus Crises through Social Media
 
Social Truth: Revealing what Truly Matters to Customers
Social Truth: Revealing what Truly Matters to CustomersSocial Truth: Revealing what Truly Matters to Customers
Social Truth: Revealing what Truly Matters to Customers
 
Social Maturity
Social MaturitySocial Maturity
Social Maturity
 

How Obama Won With Big Data (Sam Zindel at Big Data Brighton)

  • 1. Meetup #2 Tim Owens – Scaling the Brandwatch search index x Beth Granter – Twitter influencer mapping x James Grant – Problem solving using Map Reduce X Sam Zindel – How Obama won with Big Data
  • 2. “We are going to measure every single thing in this campaign”
  • 3. HOW OBAMA WON WITH BIG DATA • Analytics team 5x bigger than in 2008 • Combined disparate data sources in a giant database • Donors, volunteers and voters • Data modelling and predictive analytics • Focus on swing states
  • 4. HOW OBAMA WON WITH BIG DATA • Campaign teams accessed data through mobiles • Offices opened in targeted neighbourhoods • Channel and messaging optimised • Election scenario tested 66,000 per night • Voter at the centre of everything
  • 5. HOW OBAMA WON WITH BIG DATA • Raised over $1 billion from donors • 700,000 volunteer shifts in final 4 days • Highly targeted ads with 14% more efficiency than 2008 • 1.8m votes in swing states (double 2008) • On election day… 7th
  • 6. HOW OBAMA WON WITH BIG DATA
  • 7. Data-Driven Marketing Customer Customer Predictive Marketing Campaign Performance Value Data Modelling Strategy Execution Measurement Segmentation Model Refresh Data Data Collection Requirements