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Big Data: 
Challenges and Opportunities 
@arodichev 
#iabrussia #iponweb
Founded in 2001 
Custom Engineering of Media Trading 
Technology 
u-Platform: 50+ Platform clients 
BidSwitch: 100 Partners Globally 
Specialised in Machine Learning, 
Optimisation and Big Data / Analytics 
at scale 
Who is IPONWEB?
“I don’t think anybody really talks about small data 
anymore… anything which is data is now big data.” 
— Dr. Boris Mouzykantskii, IPONWEB 
“People want answers; they don’t want more data” 
— Dr. Vivienne Ming, Gild
potential increase in operational 
margin for retailers 
60% 
$300B 
annual value to US healthcare 
1.5M managers 
new positions for data-savvy tech 
McKinsey Global Institute, 2011
Infrastructure is a commodity now, 
digital inventory and data are also 
becoming very cheap.
Despite exponential growth in 
computing power, more data 
is currently collected 
than can be analysed. 
Data volume 
Computing 
power
We have to clean the data!
It’s getting harder to hire the right people 
and the role of teams is increasing.
The data scientists track on Coursera.
The data scientists track on Coursera. 
It takes 36 weeks to learn the entire 
track. And ideally you have to have 
a CS background.
What to do?
#1 
Data must be central 
to business model
#2 
Clear profit model
#3 
Pair strong business strategy 
with understanding of technology
#4 
Look for low-hanging fruit
These guys leverage big data at full scale
Thank you! 
@arodichev
Sources used: 
Data-Driven Business Models: Chalenges and Opportunities of Big Data. 
Monica Bulger, Greg Taylor, Ralph Schroeder. Oxford Internet Institute, 
University of Oxford 
Graphics: 
Mop designed by Yorlmar Campos from the Noun Project (CC 3.0) 
High Five designed by Takao Umehara from the Noun Project (СС 3.0) 
Question designed by Henrik Lund Mikkelsen from the Noun Project (CC 3.0) 
Companies mentioned: 
car2go N.A., LLC 
GetTaxi, Inc. 
Nestlé Nespresso SA

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Big Data Challenges

  • 1. Big Data: Challenges and Opportunities @arodichev #iabrussia #iponweb
  • 2. Founded in 2001 Custom Engineering of Media Trading Technology u-Platform: 50+ Platform clients BidSwitch: 100 Partners Globally Specialised in Machine Learning, Optimisation and Big Data / Analytics at scale Who is IPONWEB?
  • 3. “I don’t think anybody really talks about small data anymore… anything which is data is now big data.” — Dr. Boris Mouzykantskii, IPONWEB “People want answers; they don’t want more data” — Dr. Vivienne Ming, Gild
  • 4. potential increase in operational margin for retailers 60% $300B annual value to US healthcare 1.5M managers new positions for data-savvy tech McKinsey Global Institute, 2011
  • 5.
  • 6. Infrastructure is a commodity now, digital inventory and data are also becoming very cheap.
  • 7. Despite exponential growth in computing power, more data is currently collected than can be analysed. Data volume Computing power
  • 8. We have to clean the data!
  • 9. It’s getting harder to hire the right people and the role of teams is increasing.
  • 10.
  • 11. The data scientists track on Coursera.
  • 12. The data scientists track on Coursera. It takes 36 weeks to learn the entire track. And ideally you have to have a CS background.
  • 14. #1 Data must be central to business model
  • 16. #3 Pair strong business strategy with understanding of technology
  • 17. #4 Look for low-hanging fruit
  • 18. These guys leverage big data at full scale
  • 20. Sources used: Data-Driven Business Models: Chalenges and Opportunities of Big Data. Monica Bulger, Greg Taylor, Ralph Schroeder. Oxford Internet Institute, University of Oxford Graphics: Mop designed by Yorlmar Campos from the Noun Project (CC 3.0) High Five designed by Takao Umehara from the Noun Project (СС 3.0) Question designed by Henrik Lund Mikkelsen from the Noun Project (CC 3.0) Companies mentioned: car2go N.A., LLC GetTaxi, Inc. Nestlé Nespresso SA