Presented by Mike Timmerman, Business Analyst, Civicom
at Market Research in the Mobile World Europe
8 - 11 October 2013, London, Europe
This event is proudly organised by Merlien Institute
Check out our upcoming events by visiting http://www.mrmw.net
Dan Mallinger – Data Science Practice Manager, Think Big Analytics at MLconf ATLMLconf
This talk will introduce a paradigm for enabling access to large, unstructured, and novel datasets in enterprises, while retaining value from existing tools and staff. By following a real world example, the discussion will walk through how small, central data science teams can make data discoveries and data value accessible to others. We will also review the tools, data science approaches, and best practices to uncovering, polishing, and digesting signal in data to support analytics at the front lines of business.
#MITXData 2014 - Leveraging Self-Service Business Intelligence to Drive Marke...MITX
2014 MITX Data & Analytics Summit
"Leveraging Self-Service Business Intelligence to Drive Marketing Analytics & Insight"
Speaker: Carmen Taglienti (@carmtag), Business Intelligence & Data Management Practice Lead, Slalom Consulting
Advancements in the BI technology ecosystem and the application of these capabilities to marketing analytics has enabled better, faster, and more accurate insight. In addition to the advancements in technology, marketing organizations look to embrace analytics and put the tools that support them into the hands of the decision makers in a “self-service” way. Typically organizations adopt analytics (and the supporting technology) across the enterprise according to the principles of "the analytics driven organization." This session will introduce an Analytics Maturity model that enables an analytics-driven marketing organization to assess current proficiencies, and understand the capabilities required to achieve its desired state of analytics maturity. This discussion will also cover the alignment of technology solutions at the various levels of the Analytics Maturity model, as well as the drive toward “self-service,” easy to use analytics. Finally, the presenter will demonstrate the use of real-time data acquisition and analytics to drive marketing insight.
http://blog.mitx.org/2014-data-summmit/
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
Dan Mallinger – Data Science Practice Manager, Think Big Analytics at MLconf ATLMLconf
This talk will introduce a paradigm for enabling access to large, unstructured, and novel datasets in enterprises, while retaining value from existing tools and staff. By following a real world example, the discussion will walk through how small, central data science teams can make data discoveries and data value accessible to others. We will also review the tools, data science approaches, and best practices to uncovering, polishing, and digesting signal in data to support analytics at the front lines of business.
#MITXData 2014 - Leveraging Self-Service Business Intelligence to Drive Marke...MITX
2014 MITX Data & Analytics Summit
"Leveraging Self-Service Business Intelligence to Drive Marketing Analytics & Insight"
Speaker: Carmen Taglienti (@carmtag), Business Intelligence & Data Management Practice Lead, Slalom Consulting
Advancements in the BI technology ecosystem and the application of these capabilities to marketing analytics has enabled better, faster, and more accurate insight. In addition to the advancements in technology, marketing organizations look to embrace analytics and put the tools that support them into the hands of the decision makers in a “self-service” way. Typically organizations adopt analytics (and the supporting technology) across the enterprise according to the principles of "the analytics driven organization." This session will introduce an Analytics Maturity model that enables an analytics-driven marketing organization to assess current proficiencies, and understand the capabilities required to achieve its desired state of analytics maturity. This discussion will also cover the alignment of technology solutions at the various levels of the Analytics Maturity model, as well as the drive toward “self-service,” easy to use analytics. Finally, the presenter will demonstrate the use of real-time data acquisition and analytics to drive marketing insight.
http://blog.mitx.org/2014-data-summmit/
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
IDPF 2015 - How 24symbols makes use of Data Science Justo Hidalgo
Presentation at IDPF 2015 (during BookExpo America) about how 24symbols makes use of Data Science: real examples of production projects, and some research & development currently under development.
Data Science Salon: Digital Transformation: The Data Science CatalystFormulatedby
Carnival is the world's largest travel leisure company, with a combined fleet of over 100 vessels across 10 cruise line brands and growing. We analyze social channels (Facebook, Twitter, Instagram), web analytics and booking data to predict customer behavior and develop marketing strategies. This session will discuss the challenges of mining all of this data and some of the Machine Learning techniques we use to segment our customers (e.g. Clustering) and predicting the value of a customer (e.g. Regression).
Next DSS MIA Event - https://datascience.salon/miami/
Presented by MANCHON (KEVIN) U Senior Director, Head of Marketing Analytics & Data Science at Carnival Cruise Line and MARC FRIDSON, former Principal Data Scientist at Carnival Cruise Line.
Data Science Salon: Quit Wasting Time – Case Studies in Production Machine Le...Formulatedby
Presented by Yashas Vaidya, Sr Data Scientist at DataIku
Next DSS MIA Event - https://datascience.salon/miami/
The steps to taking a machine learning model to production. Modern architectures and technologies for building production machine learning. An overview of the talent and processes for creating and maintaining production machine learning.
Yazzoom can assist your management, laboratory group or engineers with a variety of analytics services like statistical analysis and machine learning.
"Everybody has data, but only those that efficiently convert their data into useful actions reap the benefits."
How Vendors are Delivering Convergence Analytics by Andrew EdwardsAnametrix
Marketers are looking for Convergence Analytics solutions that help them see and interact with all their data in one place: the digital equivalent of “one ring to rule them all”. New tools in the market today combine data from web, mobile, social, demographics, seasonality, campaign, cost center, and sales center sources, and allow the marketer to visualize them in dynamic dashboards for real-time analytics and predictive forecasting.
Data Driven Decisions: Building an Insight Driven CultureAmazon Web Services
Analytics done well can transform the way that decisions are made across an organisation. The proliferation of data, matched with the accessibility of new technologies such as AI and Machine Learning, means answers to more and more business questions are within reach. Having a clear strategy for building a data driven culture, to realise the value in analytics, is now a business imperative. This presentation covered:
• The Amazon Story: A Culture of Innovation and History of Machine Learning
• Deloitte & Amazon: Perspectives on Building a Data Driven Culture
• Customer Discussion: Predictions & practical advice
This was presented in Australia and New Zealand in October 2018
There are only TWO substantial phases in a life of a digital service: either they are being built or they are being optimized. How to improve your UX with digital analytics?
IDPF 2015 - How 24symbols makes use of Data Science Justo Hidalgo
Presentation at IDPF 2015 (during BookExpo America) about how 24symbols makes use of Data Science: real examples of production projects, and some research & development currently under development.
Data Science Salon: Digital Transformation: The Data Science CatalystFormulatedby
Carnival is the world's largest travel leisure company, with a combined fleet of over 100 vessels across 10 cruise line brands and growing. We analyze social channels (Facebook, Twitter, Instagram), web analytics and booking data to predict customer behavior and develop marketing strategies. This session will discuss the challenges of mining all of this data and some of the Machine Learning techniques we use to segment our customers (e.g. Clustering) and predicting the value of a customer (e.g. Regression).
Next DSS MIA Event - https://datascience.salon/miami/
Presented by MANCHON (KEVIN) U Senior Director, Head of Marketing Analytics & Data Science at Carnival Cruise Line and MARC FRIDSON, former Principal Data Scientist at Carnival Cruise Line.
Data Science Salon: Quit Wasting Time – Case Studies in Production Machine Le...Formulatedby
Presented by Yashas Vaidya, Sr Data Scientist at DataIku
Next DSS MIA Event - https://datascience.salon/miami/
The steps to taking a machine learning model to production. Modern architectures and technologies for building production machine learning. An overview of the talent and processes for creating and maintaining production machine learning.
Yazzoom can assist your management, laboratory group or engineers with a variety of analytics services like statistical analysis and machine learning.
"Everybody has data, but only those that efficiently convert their data into useful actions reap the benefits."
How Vendors are Delivering Convergence Analytics by Andrew EdwardsAnametrix
Marketers are looking for Convergence Analytics solutions that help them see and interact with all their data in one place: the digital equivalent of “one ring to rule them all”. New tools in the market today combine data from web, mobile, social, demographics, seasonality, campaign, cost center, and sales center sources, and allow the marketer to visualize them in dynamic dashboards for real-time analytics and predictive forecasting.
Data Driven Decisions: Building an Insight Driven CultureAmazon Web Services
Analytics done well can transform the way that decisions are made across an organisation. The proliferation of data, matched with the accessibility of new technologies such as AI and Machine Learning, means answers to more and more business questions are within reach. Having a clear strategy for building a data driven culture, to realise the value in analytics, is now a business imperative. This presentation covered:
• The Amazon Story: A Culture of Innovation and History of Machine Learning
• Deloitte & Amazon: Perspectives on Building a Data Driven Culture
• Customer Discussion: Predictions & practical advice
This was presented in Australia and New Zealand in October 2018
There are only TWO substantial phases in a life of a digital service: either they are being built or they are being optimized. How to improve your UX with digital analytics?
Top Business Intelligence Trends for 2016 by Panorama SoftwarePanorama Software
10 top BI trends for 2016 – by Panorama
Its all about the insight
Visual perception rules
The learning suggestive system - AI gets real
The data product chain becomes democratized
Cloud (finally)
“Mobile”
Automated data integration
Interned of things data accelerating into reality
Hadoop accelerators are the last chance for Hadoop
Fading of the centralized on–premise DWH
Driving Customer Loyalty with Azure Machine LearningCCG
Learn how you can leverage the elastic, on-demand processing power of Microsoft Azure to create faster, more applicable analytics by viewing this informative webinar. Data Scientist and Author, Ahmed Sherif, demonstrates key analytic use cases that can be spun up quickly with minimal effort and maximum return on investment. To watch the full recording of this webinar, visit http://ccgbi.com/resources/webinars/driving-customer-loyalty-with-AML
Agile Data Science is a lean methodology that is adopted from Agile Software Development. At the core it centers around people, interactions, and building minimally viable products to ship fast and often to solicit customer feedback. In this presentation, I describe how this work was done in the past with examples. Get started today with our help by visiting http://www.alpinenow.com
Know Your Market - Know Your Customer: What Web Data Reveals if You Know Wher...Connotate
In this presentation, Connotate will share expertise gained from years of experience extracting data from the Web and making it usable. Connotate’s experts will explain why certain Web data sources are easy to tap into, why others aren’t – what to consider when scoping out a project.
To overcome IT Challenge , which is:
Product Cycle Shorten ,
Unpredictability,
Need to replan faster,
Predication Future,
Respond to Market,
Focus from PROCESS to People,
Data Doubles every 18 Months
Hyper Connected People in Real Time interacting in an unstructured way,
We use the capability of Analytic and big data with Predictive Analytic
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6. Civicom – Past MRMW Events
Amsterdam 2012
Cincinnati 2012
Kuala Lumpur 2013
Minneapolis 2013
7. Using Text Analytics to Manage Mobile Qual
Today:
• Discover new tools to help deal with
large amounts of qualitative data
• Learn when Text Analytics is called
for, for quick and valid insights
• Understand how to capture effective
key insights in less time, using Text
Analytics
9. Why Do Quick Insights Matter?
“You have to learn more about
your customer faster than the
competition.”
‘You need to turn it into action
faster than the competition.”
10. Managing Mobile Qual Data – What’s Next?
You got all your data and it’s a lot… What do you do?
11. You Have the Choice of Several Methods!
Manual
• Sifting Through Stacks Of Paper
• Taking Extensive Notes
• Compiling Data
12. You Have the Choice of Several Methods!
Manual
Computer-Assisted
Qualitative Data
Analysis software
• Helps manage data digitally,
includes coding features
• Adoption in commercial market
research remains low, 9%
• Providers include: nVivo, Atlas.ti,
and MAXQDA
13. You Have the Choice of Several Methods!
Manual
Computer-Assisted
Qualitative Data Analysis
software
Text
Analytics
• Processes prepared text and
extracts insights
• New research area to solve
information overload*
• Providers include Lexalytics and
IBM Content Analytics
* (Feldman & Sanger, 2007)
14. Each Situation Calls For a Different Approach
Manual
Computer-Assisted Qualitative
Data Analysis Software
Text Analytics
Pro:
Complete control of
output
Pro:
Pattern checking,
overview management
Pro:
Significant time savings,
deep insights
Con:
Time consuming
Con:
Focuses on breadth,
requires high literacy
Con:
Learning curve
15. Civicom Text Analytics Is Here to Help!
• There’s a growing demand
for analytical qual tools
• In response, Civicom
launched Text Analytics in
2012
16. Civicom Text Analytics - What Is It?
• Process of extracting
meaningful information
from large data
• Statistical, Automated
and other Analytic
Techniques
17. Civicom Text Analytics - What Is It?
Transcripts
Plugged into Excel
Text Analytics Output
18. Your Summary Report Becomes Your Roadmap
•
•
•
No human
interpretation of data,
quantitative only
Output in clear and
easily understandable
format
Deliverables provide
foundation for
research conclusions
19. Visualize All Your Data Through Infographics
• Clear format, maximizes message impact
• Charts and graphs translate your qual data
• See data come to live in front of your eyes
22. • Can be applied to many
types of research projects
23. • Infographic can represent
the qualitative answers from
a quantitative survey
24. • Can also be applied to mystery
shopping projects
• Fun way of presenting results
25. Text Analytics Sets You On Your Way
Mine Your Data for those
Precious Nuggets of Key
Information:
• Saves You Time
• Gives You an Overview
• Uncover Patterns and
Trends
•
•
•
•
Key Points
Major Themes
Sentiment Scores
Basis for Conclusions
30. Getting to the Insights You Need with Text Analytics
Text Analytics
Extracting key insights
from your dataset
in a fraction of the time
it would normally take!
You get to focus on things of
more importance to you.
31. Using Text Analytics
To Manage Mobile Qual Data
Thank you!
Mike Timmerman | mike.timmerman@civi.com
http://www.civi.com/marketingresearch
+1-203-413-2423