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STW: Making Data Sexy

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> Ā Making Ā data Ā sexy Ā < Ā  Turning Ā raw Ā data Ā into Ā  Ā  ac.onable Ā insights Ā 
> Ā The Ā datalicious Ā elevator Ā pitch Ā  ā€œUsing Ā data Ā to Ā widen Ā the Ā funnelā€ Ā  Media Ā A:ribu<on Ā & Ā Modeling Ā  Op<mise Ā channel Ā mix, Ā predict Ā sales Ā  Targeted Ā Direct Ā Marke<ng Ā  Ā  Increase Ā relevance, Ā reduce Ā churn Ā  Tes<ng Ā & Ā Op<misa<on Ā  Remove Ā barriers, Ā drive Ā sales Ā  Boos<ng Ā ROI Ā 
Make Ā data Ā sexy Ā  by Ā turning Ā it Ā into Ā  Ā  ac<onable Ā insights Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  3 Ā 
Standardise Ā metrics Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  4 Ā 
August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  5 Ā 
Break Ā down Ā data Ā silos Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  6 Ā 
> Ā Establish Ā a Ā single Ā source Ā of Ā truth Ā  Insights Ā  Repor<ng Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  7 Ā 
> Ā Combine Ā proļ¬le Ā data Ā sources Ā  CRM Ā Proļ¬le Ā  Site Ā Behaviour Ā  one-Ā­ā€oļ¬€ Ā collec.on Ā of Ā demographical Ā data Ā  Ā  tracking Ā of Ā purchase Ā funnel Ā stage Ā  + Ā  age, Ā gender, Ā address, Ā etc Ā  browsing, Ā checkout, Ā etc Ā  customer Ā lifecycle Ā metrics Ā and Ā key Ā dates Ā  tracking Ā of Ā content Ā preferences Ā  proļ¬tability, Ā expira<on, Ā etc Ā  products, Ā brands, Ā features, Ā etc Ā  predic.ve Ā models Ā based Ā on Ā data Ā mining Ā  tracking Ā of Ā external Ā campaign Ā responses Ā  propensity Ā to Ā buy, Ā churn, Ā etc Ā  search Ā terms, Ā referrers, Ā etc Ā  historical Ā data Ā from Ā previous Ā transac.ons Ā  tracking Ā of Ā internal Ā promo.on Ā responses Ā  average Ā order Ā value, Ā points, Ā etc Ā  emails, Ā internal Ā search, Ā etc Ā  Updated Ā Occasionally Ā  Updated Ā Con<nuously Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  8 Ā 
> Ā 3rd Ā party Ā data Ā enhancements Ā  Customer Ā proļ¬le Ā data Ā  Geo-Ā­ā€demographic Ā data Ā  + Ā  The Ā whole Ā is Ā greater Ā  Ā  than Ā the Ā sum Ā of Ā its Ā parts Ā  3rd Ā party Ā data Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  9 Ā 
Visualise Ā your Ā data Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  10 Ā 
What Ā trends Ā can Ā you Ā iden<fy Ā in Ā 5 Ā seconds Ā  Ā  by Ā looking Ā at Ā the Ā raw Ā data Ā only? Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  11 Ā 
August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  12 Ā 
August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  13 Ā 
August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  14 Ā 
August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  15 Ā 
RED Ā = Ā No Ā single Ā men Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  16 Ā 
Allocate Ā a Ā data Ā budget Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  17 Ā 
Combine Ā data Ā & Ā crea<vity Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  18 Ā 
August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  19 Ā 
Contact Ā us Ā  insights@datalicious.com Ā  Ā  Learn Ā more Ā  blog.datalicious.com Ā  Ā  Follow Ā me Ā  twi:er.com/datalicious Ā  Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  20 Ā 
Data Ā > Ā Insights Ā > Ā Ac<on Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  21 Ā 

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STW: Making Data Sexy

  • 1. > Ā Making Ā data Ā sexy Ā < Ā  Turning Ā raw Ā data Ā into Ā  Ā  ac.onable Ā insights Ā 
  • 2. > Ā The Ā datalicious Ā elevator Ā pitch Ā  ā€œUsing Ā data Ā to Ā widen Ā the Ā funnelā€ Ā  Media Ā A:ribu<on Ā & Ā Modeling Ā  Op<mise Ā channel Ā mix, Ā predict Ā sales Ā  Targeted Ā Direct Ā Marke<ng Ā  Ā  Increase Ā relevance, Ā reduce Ā churn Ā  Tes<ng Ā & Ā Op<misa<on Ā  Remove Ā barriers, Ā drive Ā sales Ā  Boos<ng Ā ROI Ā 
  • 3. Make Ā data Ā sexy Ā  by Ā turning Ā it Ā into Ā  Ā  ac<onable Ā insights Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  3 Ā 
  • 4. Standardise Ā metrics Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  4 Ā 
  • 5. August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  5 Ā 
  • 6. Break Ā down Ā data Ā silos Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  6 Ā 
  • 7. > Ā Establish Ā a Ā single Ā source Ā of Ā truth Ā  Insights Ā  Repor<ng Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  7 Ā 
  • 8. > Ā Combine Ā proļ¬le Ā data Ā sources Ā  CRM Ā Proļ¬le Ā  Site Ā Behaviour Ā  one-Ā­ā€oļ¬€ Ā collec.on Ā of Ā demographical Ā data Ā  Ā  tracking Ā of Ā purchase Ā funnel Ā stage Ā  + Ā  age, Ā gender, Ā address, Ā etc Ā  browsing, Ā checkout, Ā etc Ā  customer Ā lifecycle Ā metrics Ā and Ā key Ā dates Ā  tracking Ā of Ā content Ā preferences Ā  proļ¬tability, Ā expira<on, Ā etc Ā  products, Ā brands, Ā features, Ā etc Ā  predic.ve Ā models Ā based Ā on Ā data Ā mining Ā  tracking Ā of Ā external Ā campaign Ā responses Ā  propensity Ā to Ā buy, Ā churn, Ā etc Ā  search Ā terms, Ā referrers, Ā etc Ā  historical Ā data Ā from Ā previous Ā transac.ons Ā  tracking Ā of Ā internal Ā promo.on Ā responses Ā  average Ā order Ā value, Ā points, Ā etc Ā  emails, Ā internal Ā search, Ā etc Ā  Updated Ā Occasionally Ā  Updated Ā Con<nuously Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  8 Ā 
  • 9. > Ā 3rd Ā party Ā data Ā enhancements Ā  Customer Ā proļ¬le Ā data Ā  Geo-Ā­ā€demographic Ā data Ā  + Ā  The Ā whole Ā is Ā greater Ā  Ā  than Ā the Ā sum Ā of Ā its Ā parts Ā  3rd Ā party Ā data Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  9 Ā 
  • 10. Visualise Ā your Ā data Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  10 Ā 
  • 11. What Ā trends Ā can Ā you Ā iden<fy Ā in Ā 5 Ā seconds Ā  Ā  by Ā looking Ā at Ā the Ā raw Ā data Ā only? Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  11 Ā 
  • 12. August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  12 Ā 
  • 13. August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  13 Ā 
  • 14. August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  14 Ā 
  • 15. August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  15 Ā 
  • 16. RED Ā = Ā No Ā single Ā men Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  16 Ā 
  • 17. Allocate Ā a Ā data Ā budget Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  17 Ā 
  • 18. Combine Ā data Ā & Ā crea<vity Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  18 Ā 
  • 19. August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  19 Ā 
  • 20. Contact Ā us Ā  insights@datalicious.com Ā  Ā  Learn Ā more Ā  blog.datalicious.com Ā  Ā  Follow Ā me Ā  twi:er.com/datalicious Ā  Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  20 Ā 
  • 21. Data Ā > Ā Insights Ā > Ā Ac<on Ā  August Ā 2011 Ā  Ā© Ā Datalicious Ā Pty Ā Ltd Ā  21 Ā