Big Data Examples, Amazon, Netflix, Boeing, Kaggle, Formula 1,

1. Big Data Examples
Image Source: http://blog.tmcnet.com/blog/rich-tehrani/uploads/facebook-datacenter-electrical-large.jpg
Ozan Saglam
@ozantechnews
www.saglam.org

2. Amazon
Amazon has been estimated to alter its prices more than 2.5 million times daily. By comparison, retailers such as Best Buy
andWal-Mart make roughly 50,000 price changes over the course of an entire month. 360pi estimates that Amazon
changes the prices of 15% to 20% of its inventory daily.
http://www.businessinsider.com/amazon-price-tracking-2014-8

3. Netflix
Based on all this data they collect, Netflix could safely determine that certain ingredients would lead to the phenomenal
success of House of Cards. A healthy amount of subscribers streamed David Fincher’s ‘The Social Network’ on the site and
watched the film from beginning to end without leaving. Also, Kevin Spacey films on Netflix have, on average, 5 star
ratings from customers. Finally, the original British version of House of Cards was extremely popular with Netflix users.
And so the company bought the license to the show without even watching the pilot..
http://www.minttwist.com/blog/2015/02/25/the-success-of-netflix-through-big-data/
Image Source : https://gigaom.com/wp-content/uploads/sites/1/2013/02/hoc_pds_010_h.jpg?quality=80&strip=all

4. Boeing jet engines can produce 10 terabytes of operational information for every 30 minutes they turn.A four- engine
jumbo jet can create 640 terabytes of data on just one Atlantic crossing; multiply that by the more than 25,000 flights
flown each day, and you get an understanding of the impact that sensor and machine-produced data can make on a BI
environment.
http://www.d1-solutions.com/fileadmin/user_upload/d1solutions/Events/praesentationen_common_sense/How_to_become_a_data-driven_organisation.pdf
Image Source: http://boeing.mediaroom.com/2011-05-16-Boeing-Business-Jets-Offers-Engine-Pusher-Program-for-VIP-747-8-Intercontinental#assets_117
Boeing

5. Rolls Royce monitors 3700 aircraft engines
Spot the problem before break down
Services revenue %70 of aircraft division revenue
Book : Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
Image Source : http://evansheline.com/wp-content/uploads/2013/01/day-at-airport.jpg
Rolls Royce

6. Kaggle

7. Kaggle - Boehringer
Participants were tasked with discovering the relationships between these molecular characteristics and the occurrence of
DNA mutations, to generate models that would be able to predict mutagenic activity for new, unseen compounds. 703
teams
WinningTeam : insurance, physics, and neuroscience; and its analysis beat existing predictive methods by more than 25
percent.

8. Kaggle - Facebook
Facebook Uses Kaggle to RecruitTop Data ScienceTalent

9. Foldit
But what is perhaps slightly disappointing is that of 236 K players who registered to Foldit, success came from problem-
solving skill of a handfull of apparently highly-inteligent indiviuals.That said, the majority of even most active players
reportedly did not come from a biochemical academic background.

10. Formula 1
According to Red Bull’s head of technical partnershipsAlan Peasland, some 100 gigabytes of data goes into winning a race.
(That’s the equivalent of streaming every episode of the long-runningSeinfeldTV series six times over.)A lot of that comes
from telemetry, a term that describes data collection on the move. Each car is fitted with around 100 sensors throughout
the vehicle.The sensors gather data about temperature, g-forces, spin—and other things—and feed it back to the garage
off to the side of the track, where it is analyzed by a team of engineers. (QZ)
Image Source : http://ecx.images-amazon.com/images/I/71OJP2KIccL._SL1440_.jpg
http://qz.com/131429/how-upstart-red-bull-racing-came-to-dominate-formula-1-with-superfast-internet-and-tons-of-data/

11. A good example of their work was the final race last year in Brazil where Vettel narrowly won the championship. It was a
wet weather race with plenty of incidents, one of which involvedVettel damaging his car in a crash with Bruno Senna
which sent him to the back of the field.The normal response would have been to return to the pits so the mechanics could
inspect the damage and replace broken parts. Because of Red Bull’s real time data analysis capability, the team were able
to keep him out on the track and assess the car’s performance and safety while still racing. (MoneyWeek)
Formula 1

13. Los Angeles
AutomatedTraffic Surveillance andControl system, which was completed in February 2013 and synchronizes all 4,500
traffic signals...According to the Department ofTransportation, traffic is 16 percent faster across the city (TheVerge)
Image Source : http://siliconangle.com/files/2013/04/LA-Traffic-lights.jpg
http://www.theverge.com/2013/4/2/4176864/la-combats-congestion-by-synchronizing-all-4500-traffic-signals

14. Jawbone Up
How the Napa Earthquake Affected BayArea Sleepers
45% of UP wearers less than 15 miles from the epicenter stayed up the rest of the night.
https://jawbone.com/blog/napa-earthquake-effect-on-sleep/

15. Thanks
Ozan Saglam
@ozantechnews
www.saglam.org