Tag Archives: data science

Free Webinar: Data Analytics in the Retail Store of the Future

Marketing Analytics & Data Science speaker Dave
Bhattacharjee, VP of Data Analytics for Stanley Black and Decker, was
unfortunately unable to be at the conference last month, but he still wanted to
share his presentation with our community digitally.
In Dave’s upcoming webinar ‘Data
Analytics in the Retail Store of the Future
‘, he will outline the
challenges for brick and mortar retailers and their use of analytics to improve
their business and create the retail store of the future. Brick and mortar
retailers are going through a period of unprecedented change. To remain
competitive, retailers are focused on omni-channel and the use of the retail
store as a competitive advantage for both customer experience and order
fulfillment. The focus for this presentation will be the innovative use of
sensor and video technology, machine learning and the use of blended data to
improve customer lifetime value, marketing analytics, sales lift and margin
optimization.  
Dave will cover topics such as data acquisition and store
instrumentation leveraging the internet of things. He will discuss advances in
video analytics that enable retailers to better understand customer engagement,
experience and behavior. And, he will also discuss the use of blending
unstructured data to enable retailers to better assess promotions and their
impact on sales and margins.
Save your seat for
the webinar on Wednesday, May 31st at 2:00 PM EST: http://bit.ly/2p11Lye
About the Presenter:

Dave Bhattacharjee is the Vice President of Data Analytics
for Stanley Black and Decker. In this role, Dave is responsible for monetizing
Stanley Black and Decker’s data assets. His current projects include analytics
applications for physical security, retail, healthcare, smart factory and
marketing.    
Prior to Stanley Black and Decker, Dave was at Cisco Systems
where as Managing Director, Dave managed and led Cisco’s consulting services
for analytics and big data in the Americas. He has also held leadership
positions at IBM and PriceWaterhouseCoopers where Dave worked with the Fortune
500 on large scale initiatives designed to create business value through data
and technology. He has an MBA from the University of Texas at Austin and a
Bachelors in Computer Science and Engineering from Arizona State University.
  
Cheers,
The Marketing Analytics & Data Science Team

Must See Talks from KNect365′s Spring Insights 2017 Events

From former gang leaders, to cyborg anthropologists, to
biomimicry experts- KNect365′s Must See Talks will challenge you to look at
problems in a whole new way and become an ignitor of change for your organization.
‘The Centrality of a Detailed Understanding of your
Audience’ ‘ Haile Owusu, Chief Data Scientist, Mashable
Marketing Analytics & Data Science
April 3-5, 2017
San Francisco, CA
Use code MADS17LI for $100 off.
Buy tickets to see Haile: https://goo.gl/YqXZdx
‘The Consumer Influence ‘ and Impact ‘ of Virtual
Reality’ ‘ Jeremy Bailenson, Founding Director of Stanford University’s Virtual
Human Interaction Lab at Stanford University
TMRE in Focus
May 1-3, 2017
Chicago, IL
Use code FOCUS17LI for $100 off.
Buy tickets to see Jeremy: https://goo.gl/c2UdIv
‘Originals: How Non-Conformists Rule the World’ ‘ Adam
Grant, Professor, Author of Give and Take and Originals at The Wharton School
of Business at the University of Pennsylvania
OmniShopper
June 20-22, 2017
Minneapolis, MN
Use code OMNI17LI for $100 off.
Buy tickets to see Adam: https://goo.gl/oUB85g
‘Underdogs, Misfits
& the Art of Battling Giants’ ‘ Malcom Gladwell, Best-Selling Author of
Outliers, The Tipping Point and David & Goliath
TMRE: The Market Research Event
October 22-25, 2017
Orlando, FL
Use code TMRE17LI for $100 off.
Buy tickets to see
Malcom:
https://goo.gl/gM7Dtv
We hope to see you this
spring!
Cheers,

The KNect 365 Event Team

The Ruthless Efficiency of Algorithms is Advancing Digital Frontiers

We recently caught up with Alistair Croll, Visiting
Executive at Harvard Business School as well as our Marketing Analytics &
Data Science Conference keynote speaker, to discuss the state of marketing
analytics and data science, and where it’s going in the future.
Today, Croll helps to accelerate startups, and works with
some of the world’s biggest companies on business model innovation. As an
entrepreneur, he co-founded Coradiant; the Year One Labs accelerator; and a many
other startups. Not to mention, he’s a sought-after speaker, and has launched
and chaired some of the world’s leading conferences on emerging technology,
including Startupfest, Strata, Cloud Connect, and Pandemon.io. Croll is also the
author of four books on technology and entrepreneurship, including the
best-selling Lean Analytics, which has been translated into eight languages.
What is the state of
the data science and analytics industry in 2017?

Croll: There is a realization that data itself doesn’t lead
to answers. This is really maturity: It’s asking the right question that’s
hard. Big data is replacing business intelligence, but most of it is still
being used to run reports and batch processes’rather than to find advantage or
insight.
At the same time, feeding the corpus of data into learning
algorithms holds promise. Those with the authority to do so are pointing
machine learning at their data seta to find correlations, then testing those
for causal relationships they can exploit.
What have been the
biggest changes data science and analytics since you started your career?

Croll: I’m not an analyst by trade. But the biggest change
is clear: once, we first defined the schema, then collected data. Now, we
collect the data, then define the schema.
In other words, “Collect first, ask questions
later.” This is a huge difference, but it has sort of snuck up on us. It
means we can iterate more, answering questions and adjusting our lines of
inquiry.
Have the influx of
social media and mobile made your job easier or harder?

Croll: More data sets mean more potential insights, but also
more spurious correlations. So it’s a two-edged sword.
How is data science
and analytics transforming every industry right now?

Croll: The simple, and somewhat terrifying, truth is that AI
gets unreasonably powerful, very quickly. Whether driving a car, or playing a
video game, or diagnosing a disease, or optimizing the design of an aircraft
part, algorithms are better than humans. They don’t get tired; they make fewer
mistakes; they don’t take breaks.
And what do we feed such algorithms? Data. There is no
industry that will not be changed by the ruthless efficiency of algorithms
advancing its digital frontiers.
Why is data science considered
the ‘sexiest job of the 21st century’?

Croll: Data science is the intersection of statistics,
critical thinking, and engineering. It requires a sense of narrative, and the
ability to build something. It’s that element of engineering that distinguishes
it from simple analytics, because it builds things that become products, or
processes. Rather than running a report, it improves the report’s results.
If big data is oil, data science is the refinery that makes
it usable.
What is the biggest
challenge in data science and analytics today?

Croll: We are still, sadly, trying to replace opinions with
facts. My good friend Randy Smerik argues that there’s no such thing as big
data: An airline that knows you’re running late fails to update your hotel;
false positives about in credit card management.
His point is that while we have tremendous amounts of data,
we seldom apply them to significantly improve the business or the customer
experience because doing so means making fundamental changes to the organization,
job descriptions, customer policies, and so on.
Where do you see data
science and analytics moving in the next 5 years?

Croll: Democratization, with the help of smart agents.
Pundits have been saying that for a long time, but in the last couple of years
tools like Cortana, Google Now, Siri, and Alexa’as well as various chat
interfaces like Slack, Sophos, and Skype’are going mainstream.
I also think that insurers will put significant pressure on
companies to implement better analytics and algorithms because it will be too
risky to do otherwise. If the organization can know everything about itself all
the time, it will be expected to do so. “We didn’t know this was
happening” will no longer be an excuse. And consequently, algorithms that
can parse all of that data and reduce risk will be mandatory.
Hear more from
Alistair during his keynote session, ‘Don’t’ Get Duped by Data’ at the
Marketing Analytics & Data Science Conference April 3-5, 2017 in San
Francisco, CA.

Data science and marketing analytics are transforming every
industry. There is a reason why it is being called the sexiest job of the 21st
century. Calling all professionals that want to harness analytics and data
science! Do you realize how critical you are to the future of your organization?
Learn more here: https://goo.gl/CbYosj

Use our exclusive
Blog discount code MADS17BL for $100 off the current rate. Buy your tickets
here:
https://goo.gl/CbYosj

Full Agenda Revealed – Marketing Analytics & Data Science 2017

When Data Science and Marketing Analytics are at their best,
they can give the business super powers.

But ‘with great power, comes great responsibility.’

The Marketing Analytics and Data Science event
ensures you walk away armed and ready to elevate yourself with in the business:
learn how your peers have applied analytics and data science to solve complex
problems; enable improved decision making; and uncover new opportunities and
increase ROI.

Rare Speaking Appearances by the Best in the Industry:

Including Hal Varian ‘ Chief Economist at Google, Hilary Mason ‘ Former Chief
Scientist at BIT.LY, and Stan Sthanunathan – Executive Vice President -
Consumer & Market Insights at Unilever.

3 Days & 30 Sessions designed for learning and networking. Build stronger
impact, understanding and knowledge to present ideas in a way that maximizes
the impact of your work.

Explore the 2017 Program Now: https://goo.gl/l3QgRS

Hone your craft with the latest tools and techniques in data
science and analytics. Build stronger impact, understanding and knowledge to
present ideas in a way that maximizes the impact of your work. Become the Data
Science and Analytics superhero you always knew you could be.
Use exclusive LinkedIn discount code MADS17BL for an
additional $100 off. Don’t miss out: https://goo.gl/l3QgRS
We hope to see you in San Francisco!
Cheers
The Marketing Analytics & Data Science Team
@MADS_Marketing
#MADSConf

How Are You Treating Your Organizational Data?

By: Anil Damodaran, Blueocean
Market Intelligence Assistant Vice President

Data fragmentation has existed for over 15 years and still does
today. However, the challenge has grown tremendously due to an increase in the
number of data sources and devices in use, at the workplace and home. Today,
data is generated and stored not only on office PCs and laptops, but on mobile
devices such as smartphones, tablets, online storage devices, and more.
Most of this data is generated in bits and pieces during
various activities like exchange of emails, feedbacks, chats, IoT feed
captures, and pilot surveys. It lies around in devices or unused drives, and
often treated as office stationery, until one day someone suddenly realizes the
cost implications of this recklessness. According to research from Salesforce,
about 53 percent of organizational data is left unanalyzed that could otherwise
have signified an opportunity for decision makers.[1]
The problem, at a grass-roots level, is leaving data unattended with disparate
sources and not implementing proper data governance.
So what can we do?
Data fragmentation can be addressed if you start considering
data generated within your organization as a corporate asset. By doing so, it
will become more instinctive to institute practices and processes of measuring
data. Once you can measure their data, it becomes easier to tag the data based
on business relevance and quality attributes.
For example, in almost all companies large and small, it is
common to take stock of infrastructure ‘ tangible and intangible ‘ and tag
them, such as company IP, laptops, mouse, and so on to the employee using it.
Similarly, are you then tagging your data generated within your organization to
its source, purpose, time, format and so on? It has been found that only 13
percent organizations have properly integrated data and predictive insights
extensively into their entire business operations.[2]
Companies that drive their businesses using data-driven strategies are five
percent more productive and realize six percent higher profits.[3]
Here are some of the traits of an organization that treat
data as an asset vs. those that do not.[4]
Organization that treats data as an asset
Organization that does not treat data as an asset
Is more innovative
Less innovative and tends to become commoditized in the long run
Is more customer-centric
Pushes products to customers, instead of developing products based on
customer needs
Harbors a culture of openness and collaboration
Politics and hierarchy based system tend to keep data in silos
Business decisions are data-driven
Run on personal experience and intuitions
Business processes and performance are measured based on feedback and
analytical models
Practices age-old business processes; no system for measuring
business performance
Risk mitigation is proactive
Risk mitigation is reactive
What kind of an organization are you and what is your
biggest challenge with the evolution? Share with us your experience and views.
Blueocean Market
Intelligence is a global analytics and insights provider that helps
corporations realize a 360-degree view of their customers through data
integration and a multi-disciplinary approach that enables sound, data-driven
business decision. To learn more, visit www.blueoceanmi.com.

Marketing Analytics and Data Science 2017 – Save the Date

Save The Date!
April 3-5, 2017, San Francisco, CA
The U.S. election results proved that there is an urgent
need to improve our prediction models and statistical analysis. Thankfully,
Data science and Advanced Analytics are starting to lead the charge, and that’s
a fundamental reason it’s being called the sexiest job of the 21st century.

The Marketing Analytics and Data Science
conference
is your opportunity to go beyond the data and identify hidden
insights. How can you work together to filter through all the clutter of data
and deliver results that really make a difference?

You are more powerful together than you are on your own!
Join Superheros from:
??        
Director, Alibaba Group
??        
Chief Data Scientist, Mashable
??        
Founder and CEO, Fast Forward Labs
??        
Head of Customer Experience Analytics and
Experimentation, Paypal
??        
Economic Research Scientist, Netflix
??        
EVP Insight, BBC Worldwide
??        
Chief Economist, Google
??        
Visiting Executive, Harvard Business School
??        
And more!
Use exclusive LinkedIn discount code MADS17BL and save $100!
Buy your tickets here: http://bit.ly/2gEIb6e
We hope to see you in San Francisco next spring!
Cheers,
The Marketing Analytics & Data Science Team
@MADS_Marketing
#MADSConf

Themarketresearcheventblog.iirusa.com

Knect365 Cyber Week Special: $200 Off 2017 Insights Events & 40% TMRE Digital

Although Black Friday and Cyber Monday are over, Cyber Week
continues with $100 off our 2017 insights events and 40% off TMRE Digital.
For a limited time only, the Knect365 Cyber Week Specials
include:
TMRE Digital
With TMRE Digital you can access 27 Sessions from the
World’s Leading Insights Event TMRE from the comfort of your own home or
office.
Learn more and download it for 40% off: http://bit.ly/2fRBgt7
The Media Insights
& Engagement Conference
January 31 – February 2, 2017
The Ritz-Carlton, Fort Lauderdale, FL
Use code MEDIA17BL for an additional $100 off
Learn more and buy tickets: http://bit.ly/2gJ4vx4
Marketing Analytics
& Data Science
April 3 – 5 2017
JW Marriott San Francisco Union Square, San Francisco, CA
Use code MADS17BL for an additional $100 off
Learn more and buy tickets: http://bit.ly/2gJdpKS
OmniShopper
June 20-22, 2017
Hyatt, Minneapolis, MN
Use code SHOPPER17BL for an additional $100 off
Learn more and buy tickets: http://bit.ly/2gybsk2
TMRE: The Market
Research Event
October 23-25, 2017
Rosen Shingle Creek, Orlando, FL
Use code TMRE17BL for an additional $100 off
Learn more and buy tickets: http://bit.ly/2gVLDO9
Don’t miss out of this cyber week special only available
until Friday!
We hope to see you at our 2017 insights events!
Cheers,

The Knect365 Team

It’s Happening! Data is Exploding! How Are You Leveraging It?

By: Praveen
Srikantaiah, Blueocean Market Intelligence Sr. Market Research Manager
In 2016, there will be 5.5 million new things connected to
each other. By 2020, there will be 20.8 billion connected things, says Gartner.
There is a sudden increase in the amount of data being
generated everyday by people, machines, and things. All of this data, when
collected, stored and analyzed can reveal valuable insights for companies. For
example, a Boeing 737′s engine generates 10 terabytes of information during a
30-minute flight.[1]
Presently, this vast amount of information goes unattended. What if companies
could harness this information in real-time? Imagine the kind of insights they
would have access to. It could help the ground control center take corrective
actions in time, saving both lives and assets worth millions.
In a smart home, devices are connected to each other and can
communicate. This generates a lot of data that should be managed well for the entire
system to function effectively. This same data can also be used by retailers to
provide services like groceries, refills, and so on to create a seamless flow
of information between systems and security. In farming, John Deere is using internet
of things (IoT) installed in farm machineries to provide farmers with
information related to crops and best practices in farming.[2] In short, they
are now also selling data besides tractors. According to a report by McKinsey,
the IoT business will deliver $6.2 trillion of revenue by 2025.[3]
The challenge lies in harnessing ‘ storing, managing,
analyzing, and synthesizing ‘ this enormous amount of unstructured data that
will only grow every day. According to an IDC report, by 2019, service
providers will have to increase datacenter capacities by 750 percent, thanks to
IoT.[4]
Do organizations have the bandwidth to handle unstructured data at that scale?
What about storage? How do we manage the unstructured data that is coming in at
such a huge volume, speed, and variety? Can an organization’s current analytics
engine process this quantum of information? These are the questions every
organization looking to leverage the power of IoT should think about now.
To understand customers better and gain a competitive
advantage, it is important for companies to take charge of their data.  The major challenges that companies primarily face
are structured around data storage, management and analytics.

Data Storage ‘ SaaS or On-Premise?
A tough question that many face is where to store their
data.  Is it at the company’s data
centers on premise, or on the cloud or a mix of both?  Unfortunately, there is no one answer to that
question.  The answer depends on the company
business model, goals around harnessing data for decision-making and industry
regulation.

For example, for companies in the healthcare industry, regulation and
compliance it may be an issue, but for others in transportation, accessing data
real-time and taking action will be crucial.
Regardless of the choice companies make, they must focus on
some core areas of concern such as scalability, security, auditability and
access of data. 
Data Management ‘ Data as a Service?
When ‘data management’ comes to mind, people often think
about ‘database management.’ ‘Database management’ deals with managing the data
that gets stored in an organization’s systems. 
‘Data management’ on the other hand, deals with provisioning data to
internal parties such as stakeholders and decision makers. 

It is very important for companies to think of ‘data management’ through the
lens of the end data ‘consumer.’ 
Sorting, arranging and categorizing data, and making it consumable to
users is an important step that organizations often overlook.  If there is a lot of data that is not
organized in a specific pattern, sequence or a recognizable format, it is as
good as useless.  In fact, one can argue
that it is a drain on the budget and a waste of money to even collect that
data.
Companies must wisely choose who performs this function in
the organization and what tools and technologies are to be employed.  SaaS tools such as LiNK automate most ‘data management’ steps and
allows organizations to harness the power of an integrated view of multiple
data sets emanating from a variety of sources.
Data Analytics
Once data is stored, organized and made available comes the
last but very exciting step in the data lifecycle management. 
Historically, organizations have relied on one or two sources
of data as ‘sources of Truth.’  In
reality, organizations can benefit from having a 360 view
of their business by intelligently analyzing an ensemble of data from a variety
of sources.
Challenges around data analytics should not only focus on
the data sets or tools and techniques organizations should employ.  The future will be one where the analytics
departments will be forced to be agile and nimble in order to be more predictive,
and drive faster and better decision-making.
Blueocean Market
Intelligence is a global analytics and insights provider that helps
corporations realize a 360-degree view of their customers through data
integration and a multi-disciplinary approach that enables sound, data-driven
business decision. To learn more, visit www.blueoceanmi.com.

Being ‘Smart’ With Your Data Integration

Most of us know that the mobile phone industry is on a
pretty serious surge of personal use. In fact, think of one person you know
that does not have a mobile phone. Coming up short? This is precisely the
reason why all marketing researchers should have a strong focus on mobile.
According to the Pew Research Center, nearly
two-thirds of adults in the U.S. own a mobile phone of some kind
. The
statistics show that the majority of mobile usage goes to text messaging and
voice calls. This is understandable; but how much of mobile phone usage is
being employed for internet or email use? 89% of mobile device users are on the
internet at least once a week, and 88% are using email at the same rate. Think
about what having this information could possibly do for your research
techniques.
The Pew Research Center also found that of U.S. adults who
own a mobile phone, 7% are ‘mobile-dependent,’ meaning that they do not have
home broadband service and have limited options for going online other than
their mobile device. With the inevitable and exponential growth of technology,
making mobile phones more streamlined, these numbers are sure to rise in the
coming years. New generations are coming along that have never known a world
without incredibly intelligent mobile devices, which could mean that desktops
may one day become a thing of the past.
Smarter data
collection

Now we are able to be smarter about the data we are
collecting, and integrate insights with other survey data: survey data from
syndicated studies, social media, and behavioral data. There are a lot of great
things happening in our industry’ we can now capture a holistic view of the
consumer without asking (a lot of) questions. We need to use the effects of
mobile to our advantage, not just adapt to evolving technologies. 
Although there has been an effort to change surveys, there
are still large portion that are incompatible with mobile devices. Moreover, users
prefer apps over browsers on their mobile
. Survey taking on mobile devices
takes longer than on a PC. A 10-15 minute survey on a PC will take 37% longer
on an Android device and 43% longer on an iPhone. iPad length of interview is
similar to PC, only 6% longer.
As data becomes increasingly integrated, researchers are
given more opportunities to boost engagement and shorten surveys. The world of
‘Big Data’ has granted us access to numerous data sources that can be blended
with quantitative research. The result is obtaining more insights through fewer
questions. This makes writing surveys for mobile users much easier because we
can:
1.      
Be less redundant with our questions
2.      
Ask simpler questions
3.      
Break surveys into clear component parts

By bringing in third party data, we have the opportunity
make surveys more enjoyable and engaging. This will help us sustain our most
valuable assets, the consumers who provide their input. 
Increasingly
researchers are experimenting with leveraging third party segmentations to
provide the richness of profile that often was proprietarily developed.
Lightspeed GMI has partnered with several leading providers of marketing
segmentation data to allow clients the opportunity to both target with and
append third party segments based on lifestyle, life stage, attitudes,
behaviors and demographics.

TMRE 2016 WILL Sell Out ‘ See Who You’ll Meet

Extraordinary Access to a World of Cutting-Edge MR Insights,
Industry Experts & 1,300 Like-Minded Peers
That’s what you get when you choose TMRE – the industry’s most COMPREHENSIVE
insights agenda, with over 120 content-driven sessions delivered by 150+ of the
industry’s most accomplished customer insights executives. But that’s not all.
TMRE unites more than 1,300 market research and insights executives, 65% from the
client-side ‘ and we’re ON TRACK TO SELL OUT FOR 2016!

Buy your tickets & secure your spot
at the insights annual gathering place:
http://bit.ly/2avagQ5

We know networking is less about meeting the masses, and
more about meeting the RIGHT people who can enable you to drive your business
forward. TMRE’s new Matchmaking technology allows you to create your own high
performance network based on your specific need criteria of who you would
benefit from meeting.

Take a look at who’s
already signed up to attend:

1800CONTACTS
3M
4i Consulting
AARP
Abbott
Accolade Health
Activision
Acturus
AcuPOLL Precision Research Inc
Added Value
AIP
Alter Agents
Amazon
AMC Networks
American Greetings
Amgen Inc
Analytics Quotient
Anderson Robbins Research
Animated Storyboards
Annik Inc
AON
Aon Hewitt
April Bell Research Group
Ascribe
Ask Your Target Market
AstraZeneca
Atlassian
B2B International
BAMM London
Batterii
BBC Worldwide
Beam Suntory Inc
Bellomy Research
Benenson Strategy Group
Beta Research
Black & Decker
Bloomin Brands
Blue Cross Blue Shield of Michigan
Blueberry Market & Sensory Research
Blueocean Market Intelligence
Boehringer Ingleheim
Borderless Access
BrainJuicer
Brandtrust
Buffalo Wild Wings
Bumblebee
Burke
Burke Inc
BuzzFeed
C Space
C&C Market Research
C+R Research
Cablevision
CareerBuilder
CareerBuilder.com
Carhartt Inc
CBS Interactive
Center for Strategy Research
Chadwick Martin Bailey
ChangeHeroes.com
Charles Schwab & Co Inc
Charter Communications
ChaseDesign
Church & Dwight
Cint
Cirque du Solei
Cisco Systems Inc
Citibank
CivicScience
Clif Bar
Colgate Palmolive
Collaborata
Columbus McKinnon
Compendium Partners
ConAgra Foods
Confirmit
Consensus Point
Constellation Brands Inc
Country Financial
Cox Automotive
Critical Mix
Crowdtap
Custom Intercept Solutions
Dapresy
Darden Restaurants
dataSpring
David’s Bridal
Deluxe Corporation
Dine Discoveries
Directions Research
Disney
Dr Pepper Snapple Group
Dunhill International
Edward Jones
Electronic Arts Inc
Eli Lilly & Co
Elicit
EMI
Enterprise Holdings Inc
Erie Insurance Group
Euromonitor International
Excel Display & Packaging
EyeSee
Facebook
Fandango
FGX International
Fieldwork
FocusVision
Forbes Consulting
Freddie Mac
Fuse Media
General Motors Company
Gfk
Gilt Group
Givaudan
Global Market Research Group
GNC
GOJO Industries
Gongos Inc
Google
Graduate Management Admission Council
Groupon
Hall & Partners
Hallmark
Hamilton Beach Brands
Harley Davidson Motor Company
Hasbro Inc
HawkPartners
HBO
HBO Latin America
Heart+Mind Strategies
Herbalife
Hewlett-Packard Enterprises
Hilton Worldwide
Honda R&D
Hotspex Inc
Hulu LLC
Hypothesis Group
IBM
Ideas To Go Inc
Imagitas a Red Ventures Company
Inbox Dollars
InfoScout
Infotools
Insights in Marketing
Intel
Ipsos
IRIWorldwide
iTracks
Janssen Pharmaceuticcals
Jarden Consumer Solutions
JM Smucker
John Burns Real Estate Consulting
Johnson & Johnson
Journey333
JP Morgan
JSC Consumer Insights
Juice Pharma Worldwide
Kellogg
Kelton
Kimberly-Clark Professional
KL Communications
Kraft Heinz
L & E Research
Lab42
Land O Lakes Inc
Las Vegas Convention & Visitors Authority
Lieberman Research Worldwide
Life Profit
Lightspeed GMI
L’Oreal
Lucid
Luminoso
Luth Research
M&T Bank
M3 USA Corporation
Market Probe International
Marketing Systems Group (MSG)
MarketVision Research
Marriott
Mars Inc
Martec Group
Mastercard
Mavens of London
McNeil Consumer Healthcare
MD Anderson Cancer Center
Mediacom
Merck
Meredith Corporation
MetLife Direct
MetrixLab
Mfour
Microsoft
MillerCoors
MineMR LLC
MMR Research Associates
Morpace Inc
Motorola Solutions Inc
MSW-ARS Research
mTAB
MTD Products Inc
MTV
Mutual of Omaha
My-Take
NASCAR
Navy Federal Credit Union
NBCUniversial
Nestle Health Science
Nestle Purina
Netquest USA Inc
New Hope Natural Media
NFIB
NGF
Nintex
Noldus Information Tech Inc
Noven Pharma
Novo Nordisk Inc
Now What
NRG
O’Connell Group
Ontario Lottery & Gaming
Op4G
Oracle
Orbitz Worldwide
Passenger
Peanut Labs, Inc
PepsiCo
Pershing LLC
Pfizer
Phoenix Marketing International
Poseidon Asset Management
Post Foods Canada
Predictive Science
Priority Health
PRS In Vivo
Publix Super Markets Inc
Q Quest Inc
QualQuant Signals
Quest Mindshare
Quester
R & R Partners
Remesh
Research & Marketing Strategies
Research Now
Riot Games
Roche
Rodan + Fields
Rotary International
Saputo Dairy Foods USA LLC
Sargento Foods
Schlesinger Associates
Schmidt Consulting Services
Schmidt Market Research
Schwan Food Company
Seek
Segmedica
Sensation
Sentient Decision Science
Shapiro+Raj
Shell Lubricants
Simmons Research
Skim
Slice Intelligence
SmartyPants
SoapBox Sample
Sonoco
Sony Pictures Television
Spike TV
SSI
Standard Life
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SurveyGizmo
SurveyWriter
Synchrony Financial
Szczepan Przybylo
Taco Bell Corporation
Takeda Pharmaceuticals
Tango Card
Taylor Media Corp
Television Bureau of Advertising (TVB)
Tesco Stores
Teva Pharmaceuticals
The Auto Club Group
The Center for Strategy Research
The Garage Group
The Hartford
The Hershey Company
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The Wonderful Company
TiVo Research
TNS
Toluna
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Toyota Financial Services
TracFone Wireless Inc
Travelers Insurance
TVB
Ugam Solutions
UHC
ULTA Beauty
Under Armour
United Way Worldwide
Universal Music Group
Universal Orlando
University of Arkansas Little Rock
Univision
US Pharmacopeia
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Vault Consulting LLC
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Visa Inc
Vital Findings
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W5
Walmart
Warners Bros Home Entertainment
WellPoint
Wells Fargo
Wells Fargo Securities, LLC
Whirlpool
Whole Foods Market
Windsor Leadership Group
Wisconsin School of Business
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