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Applied prediction
Sriharsha Udupi – Technical Architect
Prepared for Digital Exeter,
January 2016
CONNECTING DATA LEADS TO HOT DATA
HIGH-VOLUME, HIGH-VELOCITY AND HIGH-VARIETY
INFORMATION ASSETS
Twitter
volume
velocity
variety
EXPLORE IDEAS LANDSCAPE… INCLUDING THE FUTURE
Can a relationship with nature lead to idealised perceptions of natural spaces?
What will
the world look like
in 30 years?
UNIFY YOUR DATA; VERIFY IDEAS WITH DATA…
• Bring all your stats together - social, searches, sales, marketing, HR etc.
• Identify and combine the data
sets that will unlock the context
for your models - historical or
future landscape
… AND VISUALISE
Find visual ways to make your data become magnetic to people that are not familiar with data practices
Store Specific Queries
Exeter
Oxford Street
Aberdeen
PlymouthManchester
Liverpool Taunton
… AND VISUALISE
Find visual ways to make your data become magnetic to people that are not familiar with data practices
Heatmap
… AND VISUALISE
Find visual ways to make your data become magnetic to people that are not familiar with data practices
Regional Overview
VALIDATE, APPLY AND PREDICT
Face your unknowns:
• Abandoned shopping trolley items
• Late night shopping frenzies
• Brand discounts affecting your sales
• Local and hyperlocal influences
Understand complexities around unknown unknowns:
• Is there power within your margin?
• Can you create repeatable, traceable logic – algorithm?
• Is there scope for automated validation?
• What about systems automation?
AUTOMATE EVERYTHING
• Tangles of wires
• Archaic operation systems
• Manual data records
• Paper!
• Combine all trackers, socials, platforms
Once you’ve become aware of the complex impact unknown
unknowns can bring…
You are ready to tackle safer areas:
PREDICTION WITHOUT APPLICATION IS LIKE KNOWING THE
WINNING HORSE BUT NOT PUTTING THE BET ON
Thank you and good luck!

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Digital Exeter Jan16 Presentation by BlackSwan Data

  • 1. Applied prediction Sriharsha Udupi – Technical Architect Prepared for Digital Exeter, January 2016 CONNECTING DATA LEADS TO HOT DATA
  • 2. HIGH-VOLUME, HIGH-VELOCITY AND HIGH-VARIETY INFORMATION ASSETS Twitter volume velocity variety
  • 3. EXPLORE IDEAS LANDSCAPE… INCLUDING THE FUTURE Can a relationship with nature lead to idealised perceptions of natural spaces? What will the world look like in 30 years?
  • 4. UNIFY YOUR DATA; VERIFY IDEAS WITH DATA… • Bring all your stats together - social, searches, sales, marketing, HR etc. • Identify and combine the data sets that will unlock the context for your models - historical or future landscape
  • 5. … AND VISUALISE Find visual ways to make your data become magnetic to people that are not familiar with data practices Store Specific Queries Exeter Oxford Street Aberdeen PlymouthManchester Liverpool Taunton
  • 6. … AND VISUALISE Find visual ways to make your data become magnetic to people that are not familiar with data practices Heatmap
  • 7. … AND VISUALISE Find visual ways to make your data become magnetic to people that are not familiar with data practices Regional Overview
  • 8. VALIDATE, APPLY AND PREDICT Face your unknowns: • Abandoned shopping trolley items • Late night shopping frenzies • Brand discounts affecting your sales • Local and hyperlocal influences Understand complexities around unknown unknowns: • Is there power within your margin? • Can you create repeatable, traceable logic – algorithm? • Is there scope for automated validation? • What about systems automation?
  • 9. AUTOMATE EVERYTHING • Tangles of wires • Archaic operation systems • Manual data records • Paper! • Combine all trackers, socials, platforms Once you’ve become aware of the complex impact unknown unknowns can bring… You are ready to tackle safer areas:
  • 10. PREDICTION WITHOUT APPLICATION IS LIKE KNOWING THE WINNING HORSE BUT NOT PUTTING THE BET ON Thank you and good luck!