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PARADIGM SHIFT IN RESEARCH
STRUCTURED AND UNSTRUCTURED DATA
Samuel Kamande (ˈsam-yə-wəl/, /ˈkam- æ-ndɛ/)
Data Science Executive/Emerging Leader, The Nielsen Company
Squasher, Hiker, Rugby, Sudoku
A Man And A Blanket
Big Data is like Teenage Sex:
Everyone talks about it,
nobody really knows how to do it,
everyone thinks everyone else is
doing it, so everyone claims they
are doing it …
- Dan Ariely, 2012
The 4 Vs of BIG DATA
• Volume – Large amounts of data; Data Explosion
• Variety – Many Forms, Types and Sources
• Velocity – Data in constant Motion
• Veracity – Doubt; Noise, Processing errors
Statistician Who knows more Programming than
the Ordinary Statistician
Programmer who knows more Statistics than the
ordinary Programmer
Courtesy LinkedIn Corp.
• Technical
expertise
• Curiosity
• Storytelling
• Cleverness
Dj Patil
AnalyticsandDataScienceJobStarters(asapercentageofalljobstarters)
BIG DATA – 1930s STYLE
PROBABILITY SAMPLING 1930s STYLE
“Surveys and Big Data are complementary data
sources not competing data sources. There are
differences between the approaches, but this
should be seen as an advantage rather than a
disadvantage.”
- The American Association for Public Opinion Research (AAPOR)
ADVERTISING, RETAIL AND CONSUMER
INSIGHTS
EVERY SINGLE INDUSTRY …
Before we demand more of data, we need to demand more
of ourselves.
- Nate Silver
Big data is good at reading lines but not good at reading
between the lines
- Kevin Roberts, CEO Saatchi & Saatchi
Kamandeh
THANK YOU

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Paradigm Shift in Research: Structured and Unstructured Data

  • 1. PARADIGM SHIFT IN RESEARCH STRUCTURED AND UNSTRUCTURED DATA Samuel Kamande (ˈsam-yə-wəl/, /ˈkam- æ-ndɛ/) Data Science Executive/Emerging Leader, The Nielsen Company Squasher, Hiker, Rugby, Sudoku A Man And A Blanket
  • 2.
  • 3. Big Data is like Teenage Sex: Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it … - Dan Ariely, 2012
  • 4. The 4 Vs of BIG DATA • Volume – Large amounts of data; Data Explosion • Variety – Many Forms, Types and Sources • Velocity – Data in constant Motion • Veracity – Doubt; Noise, Processing errors
  • 5. Statistician Who knows more Programming than the Ordinary Statistician Programmer who knows more Statistics than the ordinary Programmer
  • 6. Courtesy LinkedIn Corp. • Technical expertise • Curiosity • Storytelling • Cleverness Dj Patil AnalyticsandDataScienceJobStarters(asapercentageofalljobstarters)
  • 7.
  • 8. BIG DATA – 1930s STYLE
  • 10. “Surveys and Big Data are complementary data sources not competing data sources. There are differences between the approaches, but this should be seen as an advantage rather than a disadvantage.” - The American Association for Public Opinion Research (AAPOR)
  • 11. ADVERTISING, RETAIL AND CONSUMER INSIGHTS
  • 13. Before we demand more of data, we need to demand more of ourselves. - Nate Silver Big data is good at reading lines but not good at reading between the lines - Kevin Roberts, CEO Saatchi & Saatchi