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Presenter – Anil Kaul, AbsolutData

12 November 2012

                       Marketing Research      225+ employees             Operations in San Francisco
                      and Advanced Analytics                                      and India

www.absolutdata.com                                             AbsolutData Proprietary & Confidential
Introduction

               Anil Kaul
                Co-founder and CEO AbsolutData
               PhD in Marketing from Cornell
                Past experience at McKinsey & Co. and
                 Personify
               AbsolutData
               Market-Defining Analytics and Research
                Services Provider
               300+ employees in San Francisco and
                New
                Delhi, Singapore, London, Dubai, Chicago
                and New York
               Backed by $20MM investment from
                Fidelity Growth Partners
                  AbsolutData Proprietary & Confidential   2
Web Data                                               Smartphones
Voice           Location                                       Mobile Data

         BIG DATA is the news of today

  90% of the data that exists today was created

              in last 2 years – IBM

 Apps                                   Video                    Tweets
    Social Media Data                                        Posts
                  AbsolutData Proprietary & Confidential                     3
All this news is making Market Researchers Nervous, Anxious and
Apprehensive

 “Big Data” is anticipated to comprise/transform 50% of current
  marketing research revenue (ESOMAR Global Market Research
  report 2010)

 “……having enough data will remove the need for market
  research all together”

 “Most importantly market researchers need to find ways to
  integrate data from different sources (unstructured data from
  social media, mobile devices, text analytics, etc.) as a part of
  their strategic insight delivery”

                           AbsolutData Proprietary & Confidential    4
ING DIRECT CASE STUDY

2006 – Data Warehousing team taken out of IT department and
       merged with the analytics team to form BI division

2011 – BI combined with marketing intelligence and sits in the
       customer insights department. The team is now responsible
       for
       Reporting and Analytics

       Market Research

       Targeted Marketing


                             AbsolutData Proprietary & Confidential   5
It is tough to make predictions, especially about the future – Yogi Berra




   Is the future
   going
   to look like
                                                                                            MARKETING      BIG DATA
   this?                                                                                     RESEARCH


    “It is tough to make predictions, especially about the future” – Yogi Berra

                                                                  AbsolutData Proprietary & Confidential              6
Volume the world Velocity =
The way+ Variety + should be Data Fog




  The way the BIG DATA world                                                     The way the BIG DATA
           should be                                                                   world is
                 Volume                                                             Volume
                    +                                                                  +
                 Variety                                                            Variety
                    +                                                                  +
                 Velocity                                                           Velocity

                         Value                                                        Data Fog

                                        AbsolutData Proprietary & Confidential                          7
Volume the world Velocity =
The way+ Variety + should be Data Fog




             Developing Case Study



                                        AbsolutData Proprietary & Confidential   8
Volume the world Velocity =
The way+ Variety + should be Data Fog




   A large hospitality chain is using social media listening
   tools to
    Uncover and fix product, pricing and value issues
    Measure service effectiveness and identify training opportunities
    Pinpoint trouble spots with equipment, suppliers, internal processes and
        delivery
    Connect directly with reviewers to increase customer loyalty




                                        AbsolutData Proprietary & Confidential   9
Volume the world Velocity =
The way+ Variety + should be Data Fog




Challenge

As data comes in real time –

 Is this a customer service issue? Or a strategic issue to
  action across the chain

 Are these issues affecting a small number of customers
  or many more we don’t hear from?

 Is frequency of an issue a good indicator of how critical
  the issue is?

                                        AbsolutData Proprietary & Confidential   10
Volume the world Velocity =
The way+ Variety + should be Data Fog




A solution is being developed that combines Social Media
listening with “Rapid Research”
1.      Social media analysis identifies top 5 issues on a daily basis

2.      Relevant questions are included in customer satisfaction surveys being sent
        out that day

3.      Data is analyzed after a week overnight in India

4.      Insights and action items shared with the relevant teams in 1 day

5.      Teams take action within 1-2 days


Pilot to be run for a quarter
   Impact and ROI will be calculated to take a decision about full roll-out at the end
   of the quarter
                                        AbsolutData Proprietary & Confidential           11
Thank You
                       Marketing Research      225+ employees             Operations in San Francisco
                      and Advanced Analytics                                      and India

www.absolutdata.com                                             AbsolutData Proprietary & Confidential

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Insight Presentation - Anil Kaul, AbsolutData

  • 1. Presenter – Anil Kaul, AbsolutData 12 November 2012 Marketing Research 225+ employees Operations in San Francisco and Advanced Analytics and India www.absolutdata.com AbsolutData Proprietary & Confidential
  • 2. Introduction Anil Kaul  Co-founder and CEO AbsolutData PhD in Marketing from Cornell  Past experience at McKinsey & Co. and Personify AbsolutData Market-Defining Analytics and Research Services Provider 300+ employees in San Francisco and New Delhi, Singapore, London, Dubai, Chicago and New York Backed by $20MM investment from Fidelity Growth Partners AbsolutData Proprietary & Confidential 2
  • 3. Web Data Smartphones Voice Location Mobile Data BIG DATA is the news of today 90% of the data that exists today was created in last 2 years – IBM Apps Video Tweets Social Media Data Posts AbsolutData Proprietary & Confidential 3
  • 4. All this news is making Market Researchers Nervous, Anxious and Apprehensive  “Big Data” is anticipated to comprise/transform 50% of current marketing research revenue (ESOMAR Global Market Research report 2010)  “……having enough data will remove the need for market research all together”  “Most importantly market researchers need to find ways to integrate data from different sources (unstructured data from social media, mobile devices, text analytics, etc.) as a part of their strategic insight delivery” AbsolutData Proprietary & Confidential 4
  • 5. ING DIRECT CASE STUDY 2006 – Data Warehousing team taken out of IT department and merged with the analytics team to form BI division 2011 – BI combined with marketing intelligence and sits in the customer insights department. The team is now responsible for  Reporting and Analytics  Market Research  Targeted Marketing AbsolutData Proprietary & Confidential 5
  • 6. It is tough to make predictions, especially about the future – Yogi Berra Is the future going to look like MARKETING BIG DATA this? RESEARCH “It is tough to make predictions, especially about the future” – Yogi Berra AbsolutData Proprietary & Confidential 6
  • 7. Volume the world Velocity = The way+ Variety + should be Data Fog The way the BIG DATA world The way the BIG DATA should be world is Volume Volume + + Variety Variety + + Velocity Velocity Value Data Fog AbsolutData Proprietary & Confidential 7
  • 8. Volume the world Velocity = The way+ Variety + should be Data Fog Developing Case Study AbsolutData Proprietary & Confidential 8
  • 9. Volume the world Velocity = The way+ Variety + should be Data Fog A large hospitality chain is using social media listening tools to  Uncover and fix product, pricing and value issues  Measure service effectiveness and identify training opportunities  Pinpoint trouble spots with equipment, suppliers, internal processes and delivery  Connect directly with reviewers to increase customer loyalty AbsolutData Proprietary & Confidential 9
  • 10. Volume the world Velocity = The way+ Variety + should be Data Fog Challenge As data comes in real time –  Is this a customer service issue? Or a strategic issue to action across the chain  Are these issues affecting a small number of customers or many more we don’t hear from?  Is frequency of an issue a good indicator of how critical the issue is? AbsolutData Proprietary & Confidential 10
  • 11. Volume the world Velocity = The way+ Variety + should be Data Fog A solution is being developed that combines Social Media listening with “Rapid Research” 1. Social media analysis identifies top 5 issues on a daily basis 2. Relevant questions are included in customer satisfaction surveys being sent out that day 3. Data is analyzed after a week overnight in India 4. Insights and action items shared with the relevant teams in 1 day 5. Teams take action within 1-2 days Pilot to be run for a quarter Impact and ROI will be calculated to take a decision about full roll-out at the end of the quarter AbsolutData Proprietary & Confidential 11
  • 12. Thank You Marketing Research 225+ employees Operations in San Francisco and Advanced Analytics and India www.absolutdata.com AbsolutData Proprietary & Confidential