2. COPYRIGHT
This document contains proprietary research, copyrighted
materials, and literary property of The Kyzenn Organization.
It is for the guidance of your company only and is not to be
copied, quoted, published, or divulged to others outside of
your organization. This document is of great value to both
your organization and The Kyzenn Organization.
Accordingly, international and domestic laws and penalties
guaranteeing patent, copyright, trademark, and trade secret
protection protect the ideas, concepts, and recommendations
related within this document.
No changes may be made to this document without the
express written permission of The Kyzenn Organization.
3. BUSINESS PAIN POINTS
Where ?
What ?
Which ?
When ?
Who ?
How ?
TO GROW SALES / PROFITS
4. SOME OBSERVATIONS
Too Much Data
Too Little Information
With little Information
Not Enough Insights
With Little Insights
No Evidence-Based Strategies
No Evidence-Based Strategies
Go for Gut Feel Strategies
Execute Gut Feel Strategies
Measure the Strategies
Repeat All Over Again
5. DISPARATE UNBALANCED
DISTINCT ENTITIES (DUDE)
Information
Information
Measure
Experience
Strategies Information
Insights
Information
Evidence-
Based
Information Strategies
Insights
Information
Data
Insights Information
6. KYZENN CONCEPTUAL
FRAMEWORK
Evidence- Measure
Based +
Experience
Strategies
Insights
Information
Information
Information
Data Information
Information
Information
Information
7. FUTURE OBSERVATIONS
Convert Data into
Enough Useful Information
Enough Useful Information
into Deep Insights
With Deep Insights comes with
Evidence-Based + Experience
Strategies
Leads to Higher Probability
of Success and
Measure
Repeat Success Internally
8. FUTURE OBSERVATIONS
Convert Data into
Enough Useful Information Analytics
Enough Useful Information
into Deep Insights Research
With Deep Insights comes with
Evidence-Based + Experience Synthesize
Strategies and
Strategize
Leads to Higher Probability
of Success and
Measure Measure
Repeat Success Internally KM through
Training
9. Kyzenn Business
Core Competencies
“Competencies are the successful application of
experience, skills, knowledge and thought leadership to
meet customer requirements”
Analytics
Research +
Measurement
Training
10. Kyzenn Business
Survey Research
“Kyzenn has a group of very competent and experienced
professionals in the area of research, analytics and training”
Research
Analytics
Training +
Measurement
15. Key Competitive Features
Fully integrate Kyzenn 11-steps
rigourous research process on-line
Advanced analytics to shed deep
insights to business / research problems
Data privacy intact PTE LTD
IDC SERVICES
(Server wholly owned and managed by Kyzenn locally)
FLOOR SPACE
16. Kyzenn Business
Core Competencies
“Competencies are the successful application of
experience, skills, knowledge and thought leadership to
meet customer requirements”
Analytics
Research +
Measurement
Training
17. Kyzenn Business
Analytics and Measurement
“For our kind of business, keeping ahead of the curve is a
must to bring the latest and most insightful analytical
techniques to our customers”
Analytics
+
Measurement
Research Training
18. Kyzenn Business
Analytics
Harnessing
researcher
“mindset” to
apply analytics to
extract useful
information and insights
19. Kyzenn Analytics
Information
‘moving with time’
for insightful interpretation
20. Kyzenn Analytics
A Case in Point
Singaporeans getting older faster
as compared to Australia
Question: How does it impact your
product and services sales in these countries?
22. Kyzenn Business
Core Competencies
“Competencies are the successful application of
experience, skills, knowledge and thought leadership to
meet customer requirements”
Analytics
Research +
Measurement
Training
23. Kyzenn Business
Core Competencies
“To teach is to learn continuously”
Training
Analytics
Research +
Measurement
26. Course Details
Visual Analytics 101
This course is for anyone who wish to have a basic
introduction to the world of visual analytics - digital or
non-digital. During the course, participants would be
introduced to simple statistical concepts visually through
charts and graphs. Case studies from both online digital
and offline medium would be used to teach foundational
concept for simple analysis.
Duration - 1 day
(1/2 day concepts and 1/2 day hands on practical using an
award winning visual analytics software)
Visual Analytics 201
This course builds on Visual Analytics 101 to cover
concepts such as 2 dimensional view and analysis,
'peeling the onion analysis ' visual methods using cross
correlation analysis would be taught using case studies.
Duration - 1 day
(1/2 day concepts and 1/2 day practical using an award
winning visual analytics software)
27. Course Details
Visual Analytics 301
This course is for anyone who has intermediate
foundation in visual analytics - both online and offline
medium. During the course, participants will be
introduced to advanced statistical concepts visually
through charts and graphs. Topics such as customer
segmentation, profiling, cross-sell and up-sell model
and other advanced techniques such as cluster
analysis and logistic regression would be covered.
But, all in the context of visual analytics.
Case studies from both online digital and offline
medium would be used to teach advanced concept
for advanced analysis.
Duration - 1.5 -2 days
(1 day concepts and 1/2 -1 day practical using an award
winning visual analytics software)
28. Course Details
Visual Analytics 401++
Want more, we are developing courses in
Gegraphical Information System (Customer
segments by geographic regions) and econometric
modeling (mixed channel modeling) and other
multivariate analysis... All using our visual eye to
analyze the data.
However, we would like to work with you to tell
us what do you wish to learn and we will put
together a customized course for your company.
Duration - to be discussed further