Annie Pettit, Chief Research Officer with Peanut Labs shares her “9 Big Applications of Big Data”

1. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
9 Big Applications of
Big Data
Annie Pettit
Peanut Labs
3 February, 2016
#NewMR 2016 Sponsors
Media Partner GreenBook

2. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016

3. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Netflix
Result: Successfully transitioned from renting
DVDs to digital streaming
Data: Tags every type of variable, even morality
of characters. Engagement measures,
hours of viewing.
Analysis: Created 76,897 micro-genres. Graphs
traffic patterns for every device across
multiple markets. Predicts what
customers want to watch next.
Learned: More viewing in the early months of a
show’s debut, so they accelerate the
amortization of that content.
http://teamsilverback.com/the-data-behind-streaming-success/
http://www.theatlantic.com/technology/archive/2014/01/how-netflix-reverse-engineered-hollywood/282679/

4. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Caesars Entertainment
Result: Share increase from 36% to 45%
Data: Loyalty card used by 80% of patrons, and 700 analysts with
$100 million annual budget
Findings: 90 segments, 100s of controlled experiments each year
Insights: 30% of customers spending $100 and $500 accounted for
nearly 100% of profits
Application: Shorter lines, discounts, free items, white-glove
treatment. Lavish with attention, anticipate every need.
http://2012books.lardbucket.org/books/getting-the-most-out-of-information-systems-v1.3/s15-08-data-asset-in-action-caesars-s.html

5. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Walmart
Result: Revenues greater than any firm in the US. RFID
boosted sales 20%. Gillette increased sales 19%.
System: RetailLink system records sale, triggers reordering,
scheduling, and delivery. Back-office scanners track
shipments. Partners use RFID technology to track and
coordinate inventories. Data includes daily sales,
shipments, returns, purchase orders, invoices.
Analysis: Mines data to get its product mix right under all sorts
of varying environmental conditions.
Insight: Customers stock up on certain products in the days
leading up to predicted hurricanes.
http://2012books.lardbucket.org/books/getting-the-most-out-of-information-systems-v1.3/s15-07-data-asset-in-action-technolog.html

6. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Kaiser Permanente
Result: $300 billion to $450 billion in reduced health-care spending.
System: Pharmaceutical companies have aggregated years of research
and development data into medical databases, payors and
providers have digitized patient records, public stakeholders
have opened data from clinical trials. 4 billion petabytes.
Analysis: Determine whether standard protocol for a disease produces
optimal results.
Insight: Kaiser Permanente: HealthConnect exchanges data across all
facilities, promotes electronic records. Improved outcomes in
cardiovascular disease and saved $1 billion from reduced office
visits and lab tests.
http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care
https://businesshealth.kaiserpermanente.org/insights/sepsis-prevention

7. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Fraud at eBay
Result: In 2014, prevented $55-million worth of fraudulent
transactions.
System: Names, email, addresses, device fingerprinting, IP
address, geolocation lookups, time zones, countries in
Oracle database of 1.3 billion entries
Analysis: Run transactions against 600 rules, 20-plus machine
learning algorithms. Regularly tweak the fraud rules.
Insight: Fraud spikes mid-week, enabling fraudsters to receive
goods by the weekend. Basic fraud pattern= long-
distance, high-dollar, expedited shipping.
http://www.datanami.com/2015/12/21/tis-the-season-to-hunt-fraudsters-with-big-data/

8. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
WeatherSignal
Result: WeatherSignal data uses pressure readings for short-term storm
forecasting and surface temperature readings to determine the
spread of snowfall
System: Millions of weather stations. Live map of atmospheric readings
from mobile phones.
Analysis: Combine sensor readings. Supply pressure readings to the
University of Washington to help prove their use in atmospheric
modelling.
Insight: Historical correlation between smartphone battery
temperatures and the ambient temperature readings of weather
stations.
http://blogs.scientificamerican.com/guest-blog/weathersignal-big-data-meets-forecasting/

9. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
UPS
Result: Saved over 39 million gallons of fuel, avoided 364 million miles,
reduced engine idle time by 10 million minutes.
System: ORION database: engine performance, speed, number of stops,
mileage, miles per gallon, GPS, driver behaviour, safety habits,
emissions, fuel consumption, deliveries, customers, addresses,
routes. 250 million+ data points,
Analysis: Advanced mathematical models that provide additional
optimization and navigational capabilities to make drivers more
efficient.
Insight: Optimize the routing again, predict the maintenance
requirements of vehicles
https://datafloq.com/read/ups-spends-1-billion-big-data-annually/273
http://scienceofanalytics.com/2012/09/09/google-maps-may-be-great-but-ill-bet-ups-has-better/

10. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Stockholmståg Trains
Result: Predict and circumvent train delays 2 hours before they
happen
System: Historical data of previous occurrences
Analysis: Takes one minute to run a forecast of the next two hours.
Algorithm detects the effect of corrections and re-
calculates entire network.
Insight: Staff can minimize delays and impacts by having train skip
a stop or by issuing extra trains. Smartphone app will
integrate other data aimed to improve commuting
http://www.computerweekly.com/news/4500254821/Swedish-big-data-project-predicts-train-delays-before-they-happen

11. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Spotify
Output: 75 million people receive a mixtape of 30 songs
Data: 2 billion user playlists, professionally curated lists.
Result: Introduces you to new songs that match your tastes allowing the
smallest, strangest musician in the world to be found by the 20
people who’ll like it
Analysis: Profile of each user’s taste in music. Collaborative filtering, deep
learning, neural nets, natural language processing. Excludes
outlier songs.
http://qz.com/571007/the-magic-that-makes-spotifys-discover-weekly-playlists-so-damn-good/

12. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Good Survey Panels
Result: Identify and remove fraudsters from panel
Data: Millions of records, thousands of variables, hundreds of tables;
survey clicks, screens, quotas, completes, incentive value, date,
time, survey behaviors
Analysis: Collect survey behaviours from multiple surveys to distinguish
people who consistently provide bad data from people who
occasionally provide unexpected results
Insight: Good panelists occasionally answer questions in unexpected
ways, young males are more likely to provide unusual data; Some
data sources attract people with poor responding tendencies
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13. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Thank You!

14. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Q & A
Your Photo
Annie Pettit
Peanut Labs
Andrew Jeavons
Mass Cognition
#NewMR 2016 Sponsors
Media Partner GreenBook

15. 9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Thank you!
Annie Pettit
Chief Research Officer
annie@peanutlabs.com
ca.linkedin.com/in/AnniePettit/
facebook.com/AnniePettit
twitter.com/LoveStats
Jonathan Cheriff
Director of Sales & Marketing
jonathan.cheriff@peanutlabs.com
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