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?

“People want answers; they don’t want more data” — Dr. Vivienne Ming, Gild

“I don’t think anybody really talks about small data anymore… anything which is data is now big data.”

— Dr. Boris Mouzykantskii, IPONWEB

potential increase in operational margin for retailers

$300B

60%

annual value to US healthcare

new positions for data-savvy tech managers1.5M

McKinsey Global Institute, 2011

Infrastructure is a commodity now, digital inventory and data are also becoming very cheap.

Computing power

Data volume

Despite exponential growth in computing power, more data

is currently collected than can be analysed.

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?

Data must be central to business model

#1

Clear profit model

#2

Pair strong business strategy with understanding of technology

#3

Look for low-hanging fruit

#4

These guys leverage big data at full scale

Thank you!

@arodichev

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)

Sources used:

Data-Driven Business Models: Chalenges and Opportunities of Big Data. Monica Bulger, Greg Taylor, Ralph Schroeder. Oxford Internet Institute, University of Oxford

Companies mentioned:

car2go N.A., LLC GetTaxi, Inc. Nestlé Nespresso SA