Making Sense of Data, Digiday Programmatic Summit, November 2016

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Going Deeper on Data Jeremy Hlavacek - @jhlava VP, Global Automated Monetization November 15 th , 2016 Digiday Programmatic Summit

Transcript of Making Sense of Data, Digiday Programmatic Summit, November 2016

Page 1: Making Sense of Data, Digiday Programmatic Summit, November 2016

Going Deeper on Data Jeremy Hlavacek - @jhlava VP, Global Automated Monetization November 15th, 2016 Digiday Programmatic Summit

Page 2: Making Sense of Data, Digiday Programmatic Summit, November 2016

We have all heard about the importance of ‘data’.

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But fundamentally, why is data valuable? Until we answer that question, we can’t take the right actions.

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The Hype Around Data Can Be Confusing…

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…But WHY is Data Valuable?

Improve likelihood of making good decisions

Increase measurement of decisions…in order to improve accuracy and precision for next time

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Risk Management: A Framework for Applying Data to Decisions

Data is used to increase

likelihood of good decision.

Bad options are removed

Uncertainty creates risk.

Risk is costly.

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Uncertainty of the decision

is reduced.

Less chance of a making a ‘bad’ decision.

Data reduces uncertainty

and risk.

Therefore, data reduces cost.

A decision needs to be

made.

Uncertain which option is best

Reduced cost means more

efficiency and value.

Data adds value.

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Real Life, Non-Media Example: Commuting in New York

Objective: Choose the best way to get from Queens to Manhattan on a Monday morning for a job interview

3 options:

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Subway Cost: $2.75 – each way Expected time: 53 Min – 19 stops

Railroad Cost: $10.00 – each way Expected time: 43 min – 3 stops

Drive Cost: $5.50 – round trip EzPass Expected time: 30 – 60 min.

What is the least risky? What has highest ROI? What is the best option?

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Making a bad decision can be costly Data can help reduce the odds of a bad decision That makes data valuable

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