big data management - forget the hype, let's talk about the facts!

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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) ---- 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.

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BIG DATA MANAGEMENT – forget the hype, let‘s talk facts

A PANEL WORKSHOP POWERED BY GEEKETTES.IO

BIG DATA MANAGEMENT – forget the hype, let‘s talk facts

Ivan P. YamshchikovSenior AnalystYandex

Ivan Yamshchikov, @kr0nikerSenior Analyst

Analytics and big data. Ecosystem.

Yandex: >6000 employees, 9 countries and closer than you think.

“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.

Analytics in Yandex

What does analyst do? And why does he do it?

Analytics and big data.

• Giving common sense to managers and marketing.

• Giving insights to the developers.

Why do you always need to have it?

Common sense

Do you have some common sense? How is this service doing?

Do you have some common sense? How is this service doing?

Do you have some common sense? How is this service doing?

Do you have some common sense? How is this service doing?

Do not look for answers before you have questions.

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.

Ivan Yamshchikov

Senior analyst

@kr0niker

kroniker@yandex-team.ru

Thanks.

Felienne HermansProfessor and EntrepreneurDelft University of Technology

BIG DATA MANAGEMENT – forget the hype, let‘s talk facts

Spreadsheets: The dark matter of IT

Felienne HermansDelft University of Technology

Spreadsheets: The dark matter of IT

Felienne HermansDelft University of Technology

(@felienne)

Spreadsheets exist ‘under the radar’

Spreadsheets live 5 years on average

Average sheet is used by 12 people

33%

Disaster!

Horror stories

Horror stories

European Spreadsheet Risk Interest Group

Horror stories

European Spreadsheet Risk Interest Group

eusprig.o

rg

Loss 2.4 million dollarsCause typo

Loss 2.4 million dollarsCause typo

Loss 24 million dollars

Cause copy-paste error

What can we do?

Visualize

Visualization!Felienne Hermans

(@felienne)

BIG DATA MANAGEMENT – forget the hype, let‘s talk facts

Anke Domscheit-BergPublicist, Activist & PoliticanOpengove.me

Big Government. Big Data.Anke Domscheit-Berg

@ankedwww.opengov.meBerlin, 05.05.2014

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)

Data can be life saving (http://bluebook.scts.org/)

2005: Guardianwins legal battle to get data published on mortality rates

after heart surgery

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”

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.”

US DHS finds 377 Words suspicious

US DHS finds 377 Words suspicious

German BND uses 15.000 “suspicious” words to filter

communications.

BIG DATA MANAGEMENT – forget the hype, let‘s talk facts

Olga SteidlGrowth HackerLinko

BIG DATA MANAGEMENT – forget the hype, let‘s talk facts

Thank youIvan, Felienne, Anke, OlgaBerlin Geekettes & NEXT

European Demo DayJune 6th

Berlin

Geekettes.io

Thank you!

Lisa Lang@lilaineuroe

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