Big organisations have a wealth of rich customer data which opens up huge new opportunities. However, they have the challenge of how to extract value from this data while protecting the privacy of their individual customers. He will talk about the risks organisations face, and what they should do about it. He will survey the techniques which can be used to make data safe for analysis, and talk briefly about how they are solving this problem at Privitar.

1. Extracting maximum value
from data while protecting
consumer privacy
Jason McFall
jason.mcfall@privitar.com

2. https://www.flickr.com/photos/jamescridland/613445810

3. http://www.informationisbeautiful.net/visualizations/worlds-biggest-data-breaches-hacks/

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5. What has this got to do with
?

9. In Cambridge, Mass
6 shared birthdate
3 were men
1 in same zip code

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https://tech.vijayp.ca/of-taxis-and-rainbows-f6bc289679a1#.jbjimbh1f

12. http://research.neustar.biz/2014/09/15/riding-with-the-stars-passenger-privacy-in-the-nyc-taxicab-dataset/

14. What are we doing at Privitar?
• Building privacy protection into Hadoop – we’re a spark application that runs
on customers’ Hadoop clusters
• Building a product around the latest state of the art techniques, and driving
collaborative industry/academic research
• Developing statistical approaches to protect privacy while preserving analytic
power
• We’re a software product company, working mostly with banks and telcos
initially, but with far wider applications

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17. Credit: Highways Agency

19. Interested in working in
this important area?
jobs@privitar.com
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