This is a panel/workshop session developed for NEXT 2014 in Berlin.
Guests:
Lisa Lang (Twilio) Anke Domscheit-Berg (Opengov.me) Olga Steidl (Linko ) Ivan P. Yamshchikov (Yandex) Felienne Hermans (TU Delft)
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Content:
Everyone is talking about Big Data – but what’s really behind it and how can you make data work for your business?
Collecting data is just one part of the puzzle. To source the right information, read it so it makes sense and -finally- how to execute on it is the most important task for successful big data management.
At this panel workshop we’ll listen to a lot of examples from big companies who’re dealing with massive amount of data on a daily basis. Each panel member will give a short demo and insight to their strategies and might revile some surprising facts.
This workshop is organised in cooperation with Berlin Geekettes.
6. “Maths in internet analytics is like nailing something on a
space ship. You might know how to use nails, yet it does
not mean that you’ll do it right.”
Me.
8. Analytics and big data.
• Giving common sense to managers and
marketing.
• Giving insights to the developers.
9. Why do you always need to have it?
Common sense
10. Do you have some common sense? How is this service doing?
11. Do you have some common sense? How is this service doing?
12. Do you have some common sense? How is this service doing?
13. Do you have some common sense? How is this service doing?
14. Do not look for answers
before you have questions.
15. Summing up:
1. - Analytics helps you to ask the right
question.
- Big data gives you the answer.
2. - Big data gives you a lot of stuff to analyze.
- Analytics gives you understanding which
data you actually need
3. - Big data gives you correlations.
- Analytics helps to understand them.
35. BIG DATA MANAGEMENT –
forget the hype, let‘s talk facts
Anke Domscheit-Berg
Publicist, Activist & Politican
Opengove.me
36. Big Government. Big Data.
Anke Domscheit-Berg
@anked
www.opengov.me
Berlin, 05.05.2014
37. Big Government Data.
The Good. The Bad. The Ugly.
Where data can help
• Health registers
• Accident registers
• Real time traffic data
• Environmental data
• Public service data
• Educational data
• Infrastructure data
• Spending data
• …
-> better services, less
corruption, wiser spending, life-
saving
Where data can be (and is)
abused
• Profiling of “transparent”
citizens
• Algorithms replace human
judgement
• Shared data bases –
exponential power
• …
-> manipulation, black mailing,
oppression, control, murder
(drones)
38. Data can be life saving
(http://bluebook.scts.org/)
2005: Guardian
wins legal battle to get data
published on mortality rates
after heart surgery
39. Data can eliminate our privacy.
• MIT could identify 95% of 1.5m
People based on anonymised
location data of their mobile phones
• 4 location + time data sets of one
mobile phone are sufficient to
identify a person, in more complex
cases, 11 data sets are needed
• Comparison? 12 data sets are
required for a safe identification of a
human being based on his/her
finger print
“its only
meta data”
40. Freedom of Speech can vanish.
“What a relief, I got an anti-flu vaccine, which
only causes mild symptoms. Getting a real
infection caused by the flu would have been
really bad.”