SlideShare ist ein Scribd-Unternehmen logo
1 von 15
Downloaden Sie, um offline zu lesen
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
9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
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/
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
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
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
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/
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 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/
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
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/
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
D
D
J
S
U
I
F
H
K
F
P
O
D
K
E
J
C
K
S
J
I
9 Big Applications of Big Data
Annie Pettit, Canada, Festival of NewMR 2016
Thank You!
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
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
Find PeanutLabs on
LinkedIn Facebook Twitter YouTube
DIY POLLINGRESEARCH SAMPLE

Weitere ähnliche Inhalte

Was ist angesagt?

Big Data - 25 Amazing Facts Everyone Should Know
Big Data - 25 Amazing Facts Everyone Should KnowBig Data - 25 Amazing Facts Everyone Should Know
Big Data - 25 Amazing Facts Everyone Should KnowBernard Marr
 
Big data introduction
Big data introductionBig data introduction
Big data introductionvikas samant
 
Big data (word file)
Big data  (word file)Big data  (word file)
Big data (word file)Shahbaz Anjam
 
Ppt for Application of big data
Ppt for Application of big dataPpt for Application of big data
Ppt for Application of big dataPrashant Sharma
 
Big Data can be fun!
Big Data can be fun!Big Data can be fun!
Big Data can be fun!Bruno Aziza
 
Big data - What is It?
Big data - What is It?Big data - What is It?
Big data - What is It?Nicole Aidney
 
A Short History of Big Data
A Short History of Big DataA Short History of Big Data
A Short History of Big DataGadi Eichhorn
 
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)Hritika Raj
 
Big data Presentation
Big data PresentationBig data Presentation
Big data PresentationAswadmehar
 
Big data and its applications
Big data and its applicationsBig data and its applications
Big data and its applicationsali easazadeh
 
An Introduction to Big Data
An Introduction to Big DataAn Introduction to Big Data
An Introduction to Big DataeXascale Infolab
 
Chapter 4 what is data and data types
Chapter 4  what is data and data typesChapter 4  what is data and data types
Chapter 4 what is data and data typesPro Guide
 
Fundamentals of Big Data in 2 minutes!!
Fundamentals of Big Data in  2 minutes!!Fundamentals of Big Data in  2 minutes!!
Fundamentals of Big Data in 2 minutes!!Simplify360
 
The big data value chain r1-31 oct13
The big data value chain r1-31 oct13The big data value chain r1-31 oct13
The big data value chain r1-31 oct13Rei Lynn Hayashi
 
Data mining with big data implementation
Data mining with big data implementationData mining with big data implementation
Data mining with big data implementationSandip Tipayle Patil
 
Big data overview external
Big data overview externalBig data overview external
Big data overview externalBrett Colbert
 

Was ist angesagt? (20)

Big data
Big dataBig data
Big data
 
Big Data - 25 Amazing Facts Everyone Should Know
Big Data - 25 Amazing Facts Everyone Should KnowBig Data - 25 Amazing Facts Everyone Should Know
Big Data - 25 Amazing Facts Everyone Should Know
 
Big data introduction
Big data introductionBig data introduction
Big data introduction
 
Big data (word file)
Big data  (word file)Big data  (word file)
Big data (word file)
 
Ppt for Application of big data
Ppt for Application of big dataPpt for Application of big data
Ppt for Application of big data
 
Big Data can be fun!
Big Data can be fun!Big Data can be fun!
Big Data can be fun!
 
Big data ppt
Big data pptBig data ppt
Big data ppt
 
Big data - What is It?
Big data - What is It?Big data - What is It?
Big data - What is It?
 
A Short History of Big Data
A Short History of Big DataA Short History of Big Data
A Short History of Big Data
 
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
Big data PPT prepared by Hritika Raj (Shivalik college of engg.)
 
Big data
Big dataBig data
Big data
 
Big data Presentation
Big data PresentationBig data Presentation
Big data Presentation
 
Big data and its applications
Big data and its applicationsBig data and its applications
Big data and its applications
 
Big data ppt
Big data pptBig data ppt
Big data ppt
 
An Introduction to Big Data
An Introduction to Big DataAn Introduction to Big Data
An Introduction to Big Data
 
Chapter 4 what is data and data types
Chapter 4  what is data and data typesChapter 4  what is data and data types
Chapter 4 what is data and data types
 
Fundamentals of Big Data in 2 minutes!!
Fundamentals of Big Data in  2 minutes!!Fundamentals of Big Data in  2 minutes!!
Fundamentals of Big Data in 2 minutes!!
 
The big data value chain r1-31 oct13
The big data value chain r1-31 oct13The big data value chain r1-31 oct13
The big data value chain r1-31 oct13
 
Data mining with big data implementation
Data mining with big data implementationData mining with big data implementation
Data mining with big data implementation
 
Big data overview external
Big data overview externalBig data overview external
Big data overview external
 

Ähnlich wie NewMR 2016 presents: 9 Big Applications of Big Data

151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data Collaboration151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data CollaborationDr. Bill Limond
 
Big data and Internet
Big data and InternetBig data and Internet
Big data and InternetSanoj Kumar
 
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...Matthieu Schapranow
 
Impact of big data on analytics
Impact of big data on analyticsImpact of big data on analytics
Impact of big data on analyticsCapgemini
 
Bigdata the technological renaissance
Bigdata the technological renaissanceBigdata the technological renaissance
Bigdata the technological renaissanceRituBhargava7
 
The Age of Big Data: A New Class of Economic Asset
The Age of Big Data: A New Class of Economic AssetThe Age of Big Data: A New Class of Economic Asset
The Age of Big Data: A New Class of Economic AssetChulalongkorn University
 
Analyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences ResearchAnalyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences ResearchMatthieu Schapranow
 
Big Data Use Cases
Big Data Use CasesBig Data Use Cases
Big Data Use Casesaziksa
 
Aziksa hadoop for buisness users2 santosh jha
Aziksa hadoop for buisness users2 santosh jhaAziksa hadoop for buisness users2 santosh jha
Aziksa hadoop for buisness users2 santosh jhaData Con LA
 
Borys Pratsiuk "How to be NVidia partner"
Borys Pratsiuk "How to be NVidia partner"Borys Pratsiuk "How to be NVidia partner"
Borys Pratsiuk "How to be NVidia partner"Lviv Startup Club
 
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...Simplilearn
 
Big Data Competing on analytics - devenport
 Big Data Competing on analytics - devenport Big Data Competing on analytics - devenport
Big Data Competing on analytics - devenportBhargav Mehta
 
TOP TEN: Big Data_ Issue 16 _ Dec 2014
TOP TEN: Big Data_ Issue 16 _ Dec 2014TOP TEN: Big Data_ Issue 16 _ Dec 2014
TOP TEN: Big Data_ Issue 16 _ Dec 2014MOTC Qatar
 
Data Science Innovations : Democratisation of Data and Data Science
Data Science Innovations : Democratisation of Data and Data Science  Data Science Innovations : Democratisation of Data and Data Science
Data Science Innovations : Democratisation of Data and Data Science suresh sood
 
Foresight conversation
Foresight conversationForesight conversation
Foresight conversationsuresh sood
 

Ähnlich wie NewMR 2016 presents: 9 Big Applications of Big Data (20)

151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data Collaboration151111 BASE ELN 151112 CIO Big Data Collaboration
151111 BASE ELN 151112 CIO Big Data Collaboration
 
Big data and Internet
Big data and InternetBig data and Internet
Big data and Internet
 
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
Analyze Genomes: A Federated In-memory Database Computing Platform enabling r...
 
Impact of big data on analytics
Impact of big data on analyticsImpact of big data on analytics
Impact of big data on analytics
 
Bigdata the technological renaissance
Bigdata the technological renaissanceBigdata the technological renaissance
Bigdata the technological renaissance
 
Big Data World
Big Data WorldBig Data World
Big Data World
 
The Age of Big Data: A New Class of Economic Asset
The Age of Big Data: A New Class of Economic AssetThe Age of Big Data: A New Class of Economic Asset
The Age of Big Data: A New Class of Economic Asset
 
Analyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences ResearchAnalyze Genomes: In-memory Apps for Next-generation Life Sciences Research
Analyze Genomes: In-memory Apps for Next-generation Life Sciences Research
 
data, big data, open data
data, big data, open datadata, big data, open data
data, big data, open data
 
Big Data Use Cases
Big Data Use CasesBig Data Use Cases
Big Data Use Cases
 
Aziksa hadoop for buisness users2 santosh jha
Aziksa hadoop for buisness users2 santosh jhaAziksa hadoop for buisness users2 santosh jha
Aziksa hadoop for buisness users2 santosh jha
 
Borys Pratsiuk "How to be NVidia partner"
Borys Pratsiuk "How to be NVidia partner"Borys Pratsiuk "How to be NVidia partner"
Borys Pratsiuk "How to be NVidia partner"
 
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...
Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beg...
 
Datapreneurs
DatapreneursDatapreneurs
Datapreneurs
 
Big Data Competing on analytics - devenport
 Big Data Competing on analytics - devenport Big Data Competing on analytics - devenport
Big Data Competing on analytics - devenport
 
TOP TEN: Big Data_ Issue 16 _ Dec 2014
TOP TEN: Big Data_ Issue 16 _ Dec 2014TOP TEN: Big Data_ Issue 16 _ Dec 2014
TOP TEN: Big Data_ Issue 16 _ Dec 2014
 
Data Science Innovations : Democratisation of Data and Data Science
Data Science Innovations : Democratisation of Data and Data Science  Data Science Innovations : Democratisation of Data and Data Science
Data Science Innovations : Democratisation of Data and Data Science
 
Foresight conversation
Foresight conversationForesight conversation
Foresight conversation
 
Bigdata AI
Bigdata AI Bigdata AI
Bigdata AI
 
Your organization and Big Data: Managing access, privacy, and security
Your organization and Big Data: Managing access, privacy, and securityYour organization and Big Data: Managing access, privacy, and security
Your organization and Big Data: Managing access, privacy, and security
 

Mehr von Annie Pettit, Research Methodologist

Creating Honesty: The effect of requesting telephone numbers and reporting on...
Creating Honesty: The effect of requesting telephone numbers and reporting on...Creating Honesty: The effect of requesting telephone numbers and reporting on...
Creating Honesty: The effect of requesting telephone numbers and reporting on...Annie Pettit, Research Methodologist
 
How to seamlessly integrate data quality measures into your questionnaire
How to seamlessly integrate data quality measures into your questionnaireHow to seamlessly integrate data quality measures into your questionnaire
How to seamlessly integrate data quality measures into your questionnaireAnnie Pettit, Research Methodologist
 
A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...
A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...
A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...Annie Pettit, Research Methodologist
 
Men are from Mars: Gender differences in word choices in social media
Men are from Mars: Gender differences in word choices in social mediaMen are from Mars: Gender differences in word choices in social media
Men are from Mars: Gender differences in word choices in social mediaAnnie Pettit, Research Methodologist
 

Mehr von Annie Pettit, Research Methodologist (20)

AI and Voice Search and Chatbots, oh my!
AI and Voice Search and Chatbots, oh my!AI and Voice Search and Chatbots, oh my!
AI and Voice Search and Chatbots, oh my!
 
Cognitive Biases for Marketers
Cognitive Biases for MarketersCognitive Biases for Marketers
Cognitive Biases for Marketers
 
Scientific rigour is worth melting for MRS Annual Conference 2016
Scientific rigour is worth melting for MRS Annual Conference 2016Scientific rigour is worth melting for MRS Annual Conference 2016
Scientific rigour is worth melting for MRS Annual Conference 2016
 
How to Turn Big Data into Actionable Data IIeX Europe 2016
How to Turn Big Data into Actionable Data IIeX Europe 2016How to Turn Big Data into Actionable Data IIeX Europe 2016
How to Turn Big Data into Actionable Data IIeX Europe 2016
 
Creating Honesty: The effect of requesting telephone numbers and reporting on...
Creating Honesty: The effect of requesting telephone numbers and reporting on...Creating Honesty: The effect of requesting telephone numbers and reporting on...
Creating Honesty: The effect of requesting telephone numbers and reporting on...
 
Blasting 10 Big Data Myths with 10 Panel Data Examples
Blasting 10 Big Data Myths with 10 Panel Data ExamplesBlasting 10 Big Data Myths with 10 Panel Data Examples
Blasting 10 Big Data Myths with 10 Panel Data Examples
 
How non-native English speakers respond to English surveys
How non-native English speakers respond to English surveysHow non-native English speakers respond to English surveys
How non-native English speakers respond to English surveys
 
Survey analysis in a nutshell with Jeffrey Henning
Survey analysis in a nutshell with Jeffrey HenningSurvey analysis in a nutshell with Jeffrey Henning
Survey analysis in a nutshell with Jeffrey Henning
 
VUE-JUNE-2015
VUE-JUNE-2015VUE-JUNE-2015
VUE-JUNE-2015
 
VUE-JAN-FEB-2015
VUE-JAN-FEB-2015VUE-JAN-FEB-2015
VUE-JAN-FEB-2015
 
VUE-MAY-2013
VUE-MAY-2013VUE-MAY-2013
VUE-MAY-2013
 
9 Tips For Creating a Great Numeric Question
9 Tips For Creating a Great Numeric Question9 Tips For Creating a Great Numeric Question
9 Tips For Creating a Great Numeric Question
 
How to seamlessly integrate data quality measures into your questionnaire
How to seamlessly integrate data quality measures into your questionnaireHow to seamlessly integrate data quality measures into your questionnaire
How to seamlessly integrate data quality measures into your questionnaire
 
The Rise and Fall and Rise of Social Media Research #IIEXap14
The Rise and Fall and Rise of Social Media Research #IIEXap14The Rise and Fall and Rise of Social Media Research #IIEXap14
The Rise and Fall and Rise of Social Media Research #IIEXap14
 
How to Create Census Sampling Targets for Free Using Data Ferret
How to Create Census Sampling Targets for Free Using Data FerretHow to Create Census Sampling Targets for Free Using Data Ferret
How to Create Census Sampling Targets for Free Using Data Ferret
 
A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...
A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...
A Tale of Two Surveys: How using real words instead of mumbo jumbo affects su...
 
How people talk about us behind our backs
How people talk about us behind our backsHow people talk about us behind our backs
How people talk about us behind our backs
 
Effects of splitting long surveys into two
Effects of splitting long surveys into twoEffects of splitting long surveys into two
Effects of splitting long surveys into two
 
Using social media data for new product development
Using social media data for new product developmentUsing social media data for new product development
Using social media data for new product development
 
Men are from Mars: Gender differences in word choices in social media
Men are from Mars: Gender differences in word choices in social mediaMen are from Mars: Gender differences in word choices in social media
Men are from Mars: Gender differences in word choices in social media
 

Kürzlich hochgeladen

Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Vladislav Solodkiy
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introductionsanjaymuralee1
 
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityAggregage
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerPavel Šabatka
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024Becky Burwell
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxDwiAyuSitiHartinah
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)Data & Analytics Magazin
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Guido X Jansen
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best PracticesDataArchiva
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationGiorgio Carbone
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxVenkatasubramani13
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...PrithaVashisht1
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?sonikadigital1
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptaigil2
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.JasonViviers2
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionajayrajaganeshkayala
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 

Kürzlich hochgeladen (17)

Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introduction
 
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayer
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)
 
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - Presentation
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptx
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .ppt
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual intervention
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 

NewMR 2016 presents: 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 D D J S U I F H K F P O D K E J C K S J I
  • 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 Find PeanutLabs on LinkedIn Facebook Twitter YouTube DIY POLLINGRESEARCH SAMPLE