The document discusses 8 common use cases for big data analytics: 1) optimize funnel conversion, 2) behavioral analytics, 3) customer segmentation, 4) predictive support, 5) market basket analysis and pricing optimization, 6) predict security threats, 7) fraud detection, and 8) industry specific uses. For each use case, examples are provided of companies in different industries applying big data to improve operations, marketing, and customer experiences.
Ecommerce and Digital Marketing PersonalizationFabiana Pereira
- Setup required for personalized communication and customer-centric insights
- Core ecommerce governance
- Core ecommerce functions
- Digital marketing initiatives and KPIs
- Suggested initiatives per target goal
- Personalization use cases
- Top automated behavior-driven digital marketing paths
- Top customer segmentations
- Segmentation uses by channel
- Data required for personalization
- Customer 360 data warehouse specifications
- Start and target tech environment
Digital Marketing Trends 2023: How to Come Out on Top?Jomer Gregorio
All set to stay ahead of the competition? Check out the latest digital marketing trends for 2023 and learn how to optimize your strategy. Click now to take your marketing game to the next level!
Full blog here - https://digitalmarketingphilippines.com/digital-marketing-trends-2023-how-to-come-out-on-top/
Digital Marketing Strategy & Plan TemplateBidur Acharya
The template of this digital marketing is provided by NSW IT Support. NSW IT Support, is a reputed and well known IT consultant in Australia. For more detail about digital marketing strategy, please visit: http://nswits.com.au/digital-marketing-company-strategy/
Marketers today are dealing with a completely different type of customer - one that demands instant gratification, and has very little patience to wait. Customer journeys today are so dynamic that it is impossible to expect results using manual, rule-based marketing tools.
In this webinar, we discuss how forward-looking brands are using data science to predict user intent to create the perfect marketing campaign for their target audience.
Ecommerce and Digital Marketing PersonalizationFabiana Pereira
- Setup required for personalized communication and customer-centric insights
- Core ecommerce governance
- Core ecommerce functions
- Digital marketing initiatives and KPIs
- Suggested initiatives per target goal
- Personalization use cases
- Top automated behavior-driven digital marketing paths
- Top customer segmentations
- Segmentation uses by channel
- Data required for personalization
- Customer 360 data warehouse specifications
- Start and target tech environment
Digital Marketing Trends 2023: How to Come Out on Top?Jomer Gregorio
All set to stay ahead of the competition? Check out the latest digital marketing trends for 2023 and learn how to optimize your strategy. Click now to take your marketing game to the next level!
Full blog here - https://digitalmarketingphilippines.com/digital-marketing-trends-2023-how-to-come-out-on-top/
Digital Marketing Strategy & Plan TemplateBidur Acharya
The template of this digital marketing is provided by NSW IT Support. NSW IT Support, is a reputed and well known IT consultant in Australia. For more detail about digital marketing strategy, please visit: http://nswits.com.au/digital-marketing-company-strategy/
Marketers today are dealing with a completely different type of customer - one that demands instant gratification, and has very little patience to wait. Customer journeys today are so dynamic that it is impossible to expect results using manual, rule-based marketing tools.
In this webinar, we discuss how forward-looking brands are using data science to predict user intent to create the perfect marketing campaign for their target audience.
Digital Marketing Agency Business Plan Exampleupmetrics.co
If you are planning to start a new digital marketing business, the first thing you will need is a business plan. Use our sample Web Spice Consultancy - Digital Marketing Business Plan created using upmetrics business plan software to start writing your business plan in no time.
Before you start writing your business plan for your new digital marketing agency, spend as much time as you can reading through some examples of service-related business plans.
Reading sample business plans will give you a good idea of what you’re aiming for and also it will show you the different sections that different entrepreneurs include and the language they use to write about themselves and their business plans.
We have created this sample Web Spice Consultancy - Digital Marketing Agency Business Plan for you to get a good idea about how a perfect digital marketing company's business plan should look like and what details you will need to include in your stunning business plan.
After getting started with upmetrics, you can copy this sample business plan into your business plan and modify the required information and download your digital marketing agency business plan pdf and doc file. It's the fastest and easiest way to start writing your business plan.
Source: https://upmetrics.co/template/digital-marketing-agency-business-plan-example
Digital Marketing Manager Responsibilities. Planning digital marketing campaigns, including web, SEO/SEM, email, social media and display advertising. Maintaining our social media presence across all digital channels. Measuring and reporting on the performance of all digital marketing campaigns.
This Digital Marketing tutorial will help you learn why Digital Marketing is important, what is Digital Marketing, what are the different types of Digital Marketing and customer lifecycle in Digital Marketing. Digital marketing is the act of promoting products or services with the help of digital devices or technology.
How to write your first influencer marketing strategy presentation.Webfluential Global
Every brand in the world should have an Influencer Marketing element to their overall marketing strategy. The next six (6) chapters will walk you through the detail of how to build your first Influencer Marketing strategy from scratch.
Many brands are not getting their Instagram strategy right. Why? Because they're not following the simple lessons outlined in our Instagram Marketing Strategy E-Book. It contains everything you need to know about this emerging social channel from the creative minds at FlashStock, the leaders in authentic, customized brand imagery.
Michael Scissons, co-founder of FlashStock, presents his keynote presentation from InstaCamp Toronto. This is the guide to developing a strategy for Instagram marketing. An overview on how to transform your Instagram marketing strategy, execution and measurement through applying a strategic framework to visual brand building.
This presentation covers:
- Instagram Key User Facts
- Visual Marketing Key Facts
- Why Instagram is Important
- Instagram Brand Adoption Curve
- Brand Adoption By Vertical
- Instagram Marketing Strategy Framework
- "How to" Create Archetypes, Themes and Occasions in Instagram Visuals.
- Overview of Classic Storytelling Pillars
- Overview of How to Create Photography Guidelines
- 10 Instagram Marketing Commandments
Our world is full of endless distractions: videos, special offers, articles, the list goes on. So, how do you make sure your content reaches your audience and grabs their attention?
During this webinar, content marketing expert Steve Rayson will share insights gained from analyzing a million headlines, across a range of publications, to discover what phrases amplify content and drive conversions.
And if that's not enough, advertising fanatic Larry Kim will show you how to use this data to craft click-worthy ad copy to use across paid search and social to increase click-through rates and significantly decrease cost-per-click.
Register now to hear this marketing dynamic duo crack the code on engagement.
You'll learn:
-What type of copy performs best on Facebook, Twitter, and Search
-How to curate attention-grabbing, engaging content
-What components make up a powerful headline
Vibes Communication is one of the best digital marketing agency in Noida. We’re the fusion of technology and marketing that enhance the brand’s value and integrity. Think of Branding-Think of us. We are the brand builder. Click here to know about us: www.vibescom.in
Consumer Insights: Finding and Guarding the Treasure TroveCapgemini
Consumer Product (CP) companies operate in an industry where the fundamental rules of the game are changing. The growth of e-commerce, the ability to bypass retailers, the rise of private labels, and the advent of niche CP startups are just some of the trends that are reshaping the sector.
But one significant change that stands out in particular is the direct connection that CP companies today have to the needs and aspirations – the ‘pulse’ – of consumers. This is, to a large extent, thanks to the rise of digital channels.
Digital Marketing Agency Business Plan Exampleupmetrics.co
If you are planning to start a new digital marketing business, the first thing you will need is a business plan. Use our sample Web Spice Consultancy - Digital Marketing Business Plan created using upmetrics business plan software to start writing your business plan in no time.
Before you start writing your business plan for your new digital marketing agency, spend as much time as you can reading through some examples of service-related business plans.
Reading sample business plans will give you a good idea of what you’re aiming for and also it will show you the different sections that different entrepreneurs include and the language they use to write about themselves and their business plans.
We have created this sample Web Spice Consultancy - Digital Marketing Agency Business Plan for you to get a good idea about how a perfect digital marketing company's business plan should look like and what details you will need to include in your stunning business plan.
After getting started with upmetrics, you can copy this sample business plan into your business plan and modify the required information and download your digital marketing agency business plan pdf and doc file. It's the fastest and easiest way to start writing your business plan.
Source: https://upmetrics.co/template/digital-marketing-agency-business-plan-example
Digital Marketing Manager Responsibilities. Planning digital marketing campaigns, including web, SEO/SEM, email, social media and display advertising. Maintaining our social media presence across all digital channels. Measuring and reporting on the performance of all digital marketing campaigns.
This Digital Marketing tutorial will help you learn why Digital Marketing is important, what is Digital Marketing, what are the different types of Digital Marketing and customer lifecycle in Digital Marketing. Digital marketing is the act of promoting products or services with the help of digital devices or technology.
How to write your first influencer marketing strategy presentation.Webfluential Global
Every brand in the world should have an Influencer Marketing element to their overall marketing strategy. The next six (6) chapters will walk you through the detail of how to build your first Influencer Marketing strategy from scratch.
Many brands are not getting their Instagram strategy right. Why? Because they're not following the simple lessons outlined in our Instagram Marketing Strategy E-Book. It contains everything you need to know about this emerging social channel from the creative minds at FlashStock, the leaders in authentic, customized brand imagery.
Michael Scissons, co-founder of FlashStock, presents his keynote presentation from InstaCamp Toronto. This is the guide to developing a strategy for Instagram marketing. An overview on how to transform your Instagram marketing strategy, execution and measurement through applying a strategic framework to visual brand building.
This presentation covers:
- Instagram Key User Facts
- Visual Marketing Key Facts
- Why Instagram is Important
- Instagram Brand Adoption Curve
- Brand Adoption By Vertical
- Instagram Marketing Strategy Framework
- "How to" Create Archetypes, Themes and Occasions in Instagram Visuals.
- Overview of Classic Storytelling Pillars
- Overview of How to Create Photography Guidelines
- 10 Instagram Marketing Commandments
Our world is full of endless distractions: videos, special offers, articles, the list goes on. So, how do you make sure your content reaches your audience and grabs their attention?
During this webinar, content marketing expert Steve Rayson will share insights gained from analyzing a million headlines, across a range of publications, to discover what phrases amplify content and drive conversions.
And if that's not enough, advertising fanatic Larry Kim will show you how to use this data to craft click-worthy ad copy to use across paid search and social to increase click-through rates and significantly decrease cost-per-click.
Register now to hear this marketing dynamic duo crack the code on engagement.
You'll learn:
-What type of copy performs best on Facebook, Twitter, and Search
-How to curate attention-grabbing, engaging content
-What components make up a powerful headline
Vibes Communication is one of the best digital marketing agency in Noida. We’re the fusion of technology and marketing that enhance the brand’s value and integrity. Think of Branding-Think of us. We are the brand builder. Click here to know about us: www.vibescom.in
Consumer Insights: Finding and Guarding the Treasure TroveCapgemini
Consumer Product (CP) companies operate in an industry where the fundamental rules of the game are changing. The growth of e-commerce, the ability to bypass retailers, the rise of private labels, and the advent of niche CP startups are just some of the trends that are reshaping the sector.
But one significant change that stands out in particular is the direct connection that CP companies today have to the needs and aspirations – the ‘pulse’ – of consumers. This is, to a large extent, thanks to the rise of digital channels.
Chapter 4 -Managing Marketing Information to Gain Customer InsWilheminaRossi174
Chapter 4 -Managing Marketing Information to Gain Customer Insights
Strategic Marketing, MASY1-GC 1230
Marketing Research at P&G: Creating Innovative Brands that provide “Irresistibly Superior Experiences”
To gain deep consumer insights, P&G employs a wide range of marketing research.
Art and science of consumer immersion research—“Living It”—in which small teams of P&G staffers live, work, and shop with consumers to gain deep insights into what they think, feel, need, and do
Traditional surveys and focus groups
Digital research platforms: online panels, web tracking, mobile surveys to big data collection and analytics
P&G uses innovative marketing research—lots and lots of it—to dig out deep and fresh consumer insights and then uses the insights to create transformational brands and marketing that deliver irresistibly superior experiences for consumers.
To gain deep consumer insights, P&G employs a wide range of marketing research approaches—from traditional large-scale surveys and small-scale focus groups to real-time social media listening, mobile surveys, and big data analytics.
3
Marketing Information
Customer needs and motives for buying are difficult to determine.
Required by companies to obtain customer and market insights
Provides competitive advantage
Generated in great quantities with the help of information technology and online sources
Most marketing managers are overloaded with data and often overwhelmed by it. Marketers don’t need more information; they need better information. And they need to make better use of the information they already have.
The real value of marketing research and marketing information lies in how it is used—in the customer insights that it provides.
4
Today’s “Big Data”
Big data refers to the huge and complex data sets generated by today’s sophisticated information generation, collection, storage, and analysis technologies.
Big data presents marketers with both big opportunities and big challenges. Companies that effectively tap this glut of big data can gain rich, timely customer insights.
Far from lacking information, most marketing managers are overloaded with data. Accessing and sifting through so much data is a daunting task. For example, when a large consumer brand such as Coca-Cola or Apple monitors online discussions about its brand in Tweets, blogs, social media posts, and other sources, it might take in a stunning 6 million public conversations a day, more than 2 billion a year.
5
Customer Insights
Fresh marketing information-based understandings of customers and the marketplace
Become the basis for creating customer value, engagement, and relationships
Customer insights teams collect customer and market information from a wide variety of sources.
Many companies are now restructuring their marketing research and information functions. They are creating customer insights teams which collect customer and market information from a wide variety of sources, ranging from traditio ...
Today there is a lot of buzz around customer experience. Many companies have realized that investments in customer experience improvement is important not just because it helps to boost the bottom lines of their businesses but because it takes at least 4 to 6 times more cost to acquire a new customer than to retain an existing customer.
Consumer analytics is the process businesses adopt to capture and analyze customer data to make better business decisions via predictive analytics. It is a method of turning data into deep insights to predict customer behavior. It may also be regarded as the process by which data can be turned into predictive insights to develop new products, new ways to package existing products, acquire new customers, retain old customers, and enhance customer loyalty. It helps businesses break big problems into manageable answers. This paper is a primer on consumer analytics. Matthew N. O. Sadiku | Sunday S. Adekunte | Sarhan M. Musa "Consumer Analytics: A Primer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33511.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/33511/consumer-analytics-a-primer/matthew-n-o-sadiku
Today we are beyond the point where big data is in the prototype stage. We are entering an era where automation, integration and end-to-end solutions need to be built rapidly to facilitate disruption. Companies need to architect a
platform for Big Data (and traditional data) analytics
Use our 50 slides content-ready behavioral analysis PowerPoint presentation to study the insights needed by a company to study to gain an edge over other companies or firms. The consumer insights can be outlined with the help of this business deck which is necessary as companies need to know the demands and needs of the consumers. The research methodology used in this PPT is quite helpful. There are also key statistics in this PPT used for studying data collection and processing and also consumer insight capabilities, components, characteristics, etc. to be looked upon. Also, the top tools are included in this behavioural analysis for consumer insights such as youtube analytics, google’s audience retention tool, google trends, etc. Also, there are markers for indication like column chart, donut pie chart, bar chart, etc. This complete PowerPoint presentation is very handy for analyzing the consumer needs and uses for accurate marketing. Enthusiasm bubbles with our Behavioural Analysis Powerpoint Presentation Slides. Experience bursts of energy everywhere.
Totango and thismoment discuss data-driven insights for customer acquisition, customer success, and churn management.
Learn how thismoment uses Totango to:
- Identify buy and churn signals from product usage data
- Segment your user-base for smarter customer engagement
- Impact every aspect of the customer journey from trial to onboarding to renewal and upsell
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
2. 1 . Op ti mi z e F u n n e l
C o n v e r s i o n
2 . B e h a v i o r a l
A n a l y t i c s
3 . C u s t o m e r
S e g m e n t a t i o n
4 . P r e d i c t i v e
S u p p o r t
5 . M a r k e t B a s k e t
A n a l y s i s a n d P r i c i n g
O p t i m i z a t i o n
6 . P r e d i c t S e c u r i t y
T h r e a t s
7 . F r a u d D e t e c t i o n
8 . i n d u s t r y s p e c i f i c
BIG DATA USE CASES:
3. Big data analytics allows
companies to track leads through
the entire sales conversion process,
from a click on an adword ad to the
final transaction, in order to uncover
insights on how the conversion
process can be improved.
1. OPTIMIZE FUNNEL
CONVERSION
4. P u r p o s e :
T-mobile uses multiple indicators, such as billing and
sentiment analysis, in order to identify customers that can
be upgraded to higher quality products, as well as to identify
those with a high lifetime customer-value, so its team can
focus on retaining those customers.
INDUSTRY
Communication
COMPANY
T-Mobile
EMPLOYEES
38,000
TYPE
Optimize Funnel
Conversion
tweet this
5. P u r p o s e :
Celcom Axiata Berhad adopted a big data solution in order
to improve customer retention and boost its market share b y
improving the marketing campaign process. The company
used real-time data to create a personalized campaign for
each customer based on which products or offers the
customer would most want or need.
INDUSTRY
Communication
COMPANY
Celcom Axiata
Berhad
EMPLOYEES
Enterprise
TYPE
Optimize Funnel
Conversion
tweet this
6. P u r p o s e :
Credem uses data analytics to predict which financial
products or services a customer would appreciate, so it
can better target consumers during the sales process.
With these insights, the bank increased average
revenue by 22 percent and reduced costs b y 9 percent.
INDUSTRY
Finance
COMPANY
Credem
EMPLOYEES
5,600
TYPE
Optimize Funnel
Conversion
tweet this
7. With access to data on consumer
behavior, companies can learn what
prompts a customer to stick around
longer, as well as learn more about their
customer’s characteristics and
purchasing habits in order to improve
marketing efforts and boost profits.
2.B e h a v i o r a l
a n a l y t i c s
8. P u r p o s e :
With 1.8 billion customers, MasterCard is in the unique
position of being able to analyze the behavior of customers
in not only their own stores, but also thousands of other
retailers. The company teamed up with Mu Sigma to collect
and analyze data on shoppers’ behavior, and provide the
insights it finds to other retailers in benchmarking reports.
INDUSTRY
Finance
COMPANY
Mastercard
EMPLOYEES
67,000
TYPE
Behavioral
Analytics
tweet this
9. P u r p o s e :
With services like Hulu and Netflix competing for viewers’
attention, Time Warner collects data on how frequently
customers tune in, the effect of bandwidth on consumer
behavior, customer engagement and peak usage times in
order to improve their service and increase profits. The
company also segments its customers for advertisers by
correlating viewing habits with public data—such as voter
registration information—in order to launch highly targeted
campaigns to specific locations or demographics.
INDUSTRY
Entertainment
COMPANY
Time Warner Cable
EMPLOYEES
34,000
TYPE
Behavioral Analytics
& Customer
Segmentation
tweet this
10. TYPE
Behavioral
Analytics
P u r p o s e :
Customer complaints and PR crises have become more
difficult to handle thanks to social media. To better keep track
of customer sentiment and what is being said about the
company online, Nestle created a 24/7 monitoring centre to
listen to all of the conversations about the company and its
products on social media. The company will actively engage
with those that post about them online in order to mitigate
damage and build customer loyalty.
INDUSTRY
Food & Beverage
COMPANY
Nestlé
EMPLOYEES
>330,000
tweet this
11. TYPE
Behavioral
Analytics
P u r p o s e :
McDonalds tracks vast amounts of data in order to
improve operations and boost the customer experience.
The company looks at factors such as the design of the
drive-thru, information provided on the menu, wait times,
the size of orders and ordering patterns in order to
optimize each restaurant to its particular market.
INDUSTRY
Food & Beverage
COMPANY
McDonald’s
EMPLOYEES
>750,000
tweet this
12. P u r p o s e :
Starbucks collects data on its customers’ purchasing
habits in order to send personalized ads and coupon offers
to the consumers’ mobile phones. The company also
identifies trends indicating whether customers are losing
interest in their product and directs offers specifically to
those customers in order to regenerate interest.
INDUSTRY
Food & Beverage
COMPANY
Starbucks Coffee
EMPLOYEES
160,000
TYPE
Behavioral
Analytics
tweet this
13. By accessing data about the
consumer from multiple sources, such
as social media data and transaction
history, companies can better
segment and target their customers
and start to make personalized offers
to those customers.
3. CUSTOMER
SEGMENTATION
14. P u r p o s e :
Thanks to its partnerships with Google and Facebook,
Heineken has access to vasts amounts of data about
its customers that it uses to create real-time,
personalized marketing messages. One project
provides real-time content to fans who happen to be
watching a sponsored event.
INDUSTRY
Food & Beverage
COMPANY
Heineken
EMPLOYEES
64,252
TYPE
Customer
Segmenta tion
tweet this
15. P u r p o s e :
Spotify uses data from user profiles and users’ playlists,
and historical data on music played to provide
recommendations for each user. By combining data from
millions of users, Spotify is able to make recommendations
even if a particular user doesn’t have an extensive history
with the site.
INDUSTRY
Entertainment
COMPANY
Spotify
EMPLOYEES
5,000
TYPE
Customer
Segmentation &
Behavioral Analytics
tweet this
16. TYPE
Customer
Segmenta tion
P u r p o s e :
Nordstrom collects data from its website, social
media, transactions and customer rewards program
in order to create customized marketing messages
and shopping experiences for each customer, based
on the products and channels that customer prefers.
INDUSTRY
Retail
COMPANY
Nordstrom
EMPLOYEES
48,000
tweet this
17. P u r p o s e :
IHG collects extensive data about their customers
in order to provide a personalized web experience
for each customer, so as to boost conversion rates.
It also uses data analytics to evaluate and adjust
its marketing mix.
INDUSTRY
Hotel/Travel
COMPANY
Intercontinental
Hotel Group
EMPLOYEES
7,981
TYPE
Customer
Segmenta tion
tweet this
18. P u r p o s e :
Walmart combines public data, social data and internal data
to monitor what customers and friends of customers are
saying about a particular product online. The retailer uses
this data to send targeted messages about the product, and
to share discount offers. Walmart also uses data analysis to
identify the context of an online message, such as if a
reference to “salt” is about the movie or the condiment.
INDUSTRY
Retail
COMPANY
Walmart
EMPLOYEES
2,000,000
TYPE
Customer
Segmenta tion
tweet this
19. Through sensors and other
machine-generated data, companies can
identify when a malfunction is likely to
occur. The company can then
preemptively order parts and make
repairs in order to avoid downtime and
lost profits.
4. PREDICTIVE SUPPORT
20. P u r p o s e :
Southwest analyses sensor data on their planes in order
to identify patterns that indicate a potential malfunction
or safety issue. This allows the airline to address potential
problems and make necessary repairs without
interrupting flights or putting passengers in danger.
INDUSTRY
Travel
COMPANY
Southwest Airlines
EMPLOYEES
>45,000
TYPE
Predictive Support
tweet this
21. P u r p o s e :
Engine yard provides big data analytics to its users, so
they can monitor the performance of applications in
real time, pinpoint problems with the infrastructure and
optimize the platform to correct performance issues.
INDUSTRY
Cloud Storage
COMPANY
Engine Yard
EMPLOYEES
130
TYPE
Predictive Support
tweet this
22. P u r p o s e :
Morgan Stanley uses real-time wire data analytics to
detect problems in its applications and prioritize which
issues should be addressed first. The company also uses
big data to determine the impact of a particular market
event, as well as its original cause.
INDUSTRY
Financial
COMPANY
Morgan Stanley
EMPLOYEES
60,000
TYPE
Predictive Support
tweet this
23. P u r p o s e :
With predictive analytics and tools such as visual sensors
and thermometers, Union Pacific can detect imminent
problems with railway tracks in order to predict potential
derailments days before they would likely occur. So far
the sensors have reduced derailments b y 75 percent.
INDUSTRY
Transportation
COMPANY
Union Pacific
Railroad
EMPLOYEES
44,000
TYPE
Predictive Support
tweet this
24. P u r p o s e :
Purdue University uses big data analytics for a unique
kind of predictive support. Its system predicts
academic and behavioral issues so that students and
teachers can be notified when changes need to be
made in order for the student to be successful.
INDUSTRY
Education
COMPANY
Purdue University
EMPLOYEES
40,000 students
6,600 staff
TYPE
Predictive Support
tweet this
25. By quickly pulling data together
from multiple sources, retailers can
better optimize their product
selection and pricing, as well as
decide where to target ads.
5. MARKET BASKET
ANALYSIS & PRICING
OPTIMIZATION
26. P u r p o s e :
P&G uses simulation models and predictive analytics in
order to create the best design for its products. It creates
and sorts through thousands of iterations in order to
develop the best design for a disposable diaper, and uses
predictive analytics to determine how moisture affects the
fragrance molecules in dish soap, so the right fragrance
comes out at the right time in the dishwashing process.
INDUSTRY
Household Retail
COMPANY
Procter & Gamble
EMPLOYEES
129,000
TYPE
Market Basket
Analysis
tweet this
27. TYPE
Market Basket
Analysis & Pricing
Optimization
P u r p o s e :
As Etihad Airways seeks to expand
internationally, it uses big data to determine
which destinations and connections should be
added in order to maximize revenue.
INDUSTRY
Travel
COMPANY
Etihad
EMPLOYEES
more than 9,000
tweet this
28. P u r p o s e :
Coca-Cola uses an algorithm to ensure that its
orange juice has a consistent taste throughout the
year. The algorithm incorporates satellite imagery,
crop yields, consumer preferences and details about
the flavours that make up a particular fruit in order
to determine how the juice should be blended.
INDUSTRY
Food
COMPANY
Coca-Cola Co.
EMPLOYEES
146,200
TYPE
Market Basket
Analysis
tweet this
29. Big data analytics can track trends in
security breaches and allow companies
to proactively go after threats before they
strike.
6. PREDICT SECURITY
THREATS
30. P u r p o s e :
Rabobank analysed criminal activities at ATMs to
determine factors that increased the risk of
becoming victimized. It discovered that proximity to
highways, weather conditions and the season all
affect the risk of a security threat.
INDUSTRY
Finance
COMPANY
Rabobank
EMPLOYEES
27,000
TYPE
Predict Security
Threats
tweet this
31. P u r p o s e :
With more than 1.5 billion items in its catalog,
Amazon has a lot of product to keep track of
and protect. It uses its cloud system, S3, to
predict which items are most likely to be stolen,
so it can better secure its warehouses.
INDUSTRY
Online Retail
COMPANY
Amazon
EMPLOYEES
110,000
TYPE
Predict Security
Threats
tweet this
32. 7. FRAUD DETECTION
Financial firms use big data to
help them identify sophisticated
fraud schemes by combining
multiple points of data.
33. P u r p o s e :
Zions Bank uses data analytics to detect anomalies
across channels that indicate potential fraud. The
fraud team receives data from 140 sources—some in
real-time—to monitor activity, such as if a customer
makes a mobile banking transaction at the same
time as a branch transaction.
INDUSTRY
Finance
COMPANY
Zion’s Bank
EMPLOYEES
2,700
TYPE
Fraud Detection
tweet this
34. P u r p o s e :
Discovery Health uses big data analytics to identify
fraudulent claims and possible fraudulent
prescriptions. For example, it can identify if a
healthcare provider is charging for a more expensive
procedure than was actually performed.
INDUSTRY
Insurance
COMPANY
Discovery Health
EMPLOYEES
5,000
TYPE
Fraud Detection
tweet this
35. P u r p o s e :
Memorial Health Care uses data analytics to
vet vendors and to uncover unethical
activities, such as bid rigging.
INDUSTRY
Healthcare
COMPANY
Memorial
Healthcare
EMPLOYEES
Enterprise
TYPE
Fraud Detection
tweet this
36. Virtually every industry has invested
in big data to help solve specific
challenges those industries face.
Healthcare, for example, uses big
data to improve patient outcomes,
and agriculture uses data to boost
crop yields.
8. i n d u s t r y s p e c i f i c
37. P u r p o s e :
Kayak uses big data analytics to create a predictive model that
tells users if the price for a particular flight will go up or down
within the next week. The system uses one billion search queries
to find the cheapest flights, as well as popular destinations and
the busiest airports. The algorithm is constantly improved by
tracking the flights to see if its predictions are correct.
INDUSTRY
Travel
COMPANY
Kayak
EMPLOYEES
101
TYPE
Industry Specific
tweet this
38. P u r p o s e :
Aurora collects internal as well as national data in
order to create a benchmark for healthcare quality. It
also analyzes data on groups of patients with similar
medical conditions, to reveal trends in the diseases
and to identify the right candidates for medical
research. Finally, the real-time data analysis allows
Aurora to predict and improve patient outcomes ,and
so far has reduced readmissions b y 10 percent.
INDUSTRY
Health Care
COMPANY
Aurora Health Care
EMPLOYEES
30,000
TYPE
Industry Specific
tweet this
39. P u r p o s e :
Catalyst IT Services built a program to screen job
candidates based on how the candidate completed a
survey. The program collects thousands of data points,
such as how the candidate approaches a difficult
question to determine how the candidate works. Since
implementing the program, employee turnover at the
company has been reduced to 15percent.
INDUSTRY
H.R/Recruiting
Technology
COMPANY
Catalyst IT
EMPLOYEES
130+
TYPE
Industry Specific
tweet this
40. P u r p o s e :
Shell uses sensor data to map its oil and gas
wells in order to increase output and boost the
efficiency of its operations. The data received
from the sensors is analyzed by artificial
intelligence and rendered in 3D and 4D maps.
INDUSTRY
Oil
COMPANY
Shell
EMPLOYEES
87,000
TYPE
Industry Specific
tweet this
41. P u r p o s e :
Sensors placed on John Deere equipment, along with
historical and real-time data on soil conditions, the
weather and crop features are all used together to help
farmers determine where and when to plant to get the
highest yield, and how to boost the efficiency of their
work to reduce fuel costs.
INDUSTRY
Farming
COMPANY
John Deere
EMPLOYEES
60,000
tweet this
TYPE
Industry Specific