Data & Story LLC, professional business skill trainer

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Profile

Founder of Data & Story LLC
(Professional Business Problem-Solving Skill Trainer)
Visiting Professor at Tama Graduate School of Business

1995-2003 Sales Engineer for overseas markets at Hitachi in Japan.
2003 MBA at Goizueta Business School (U.S.)
2004-2014 Manager of Global Marketing & Sales and Business Transformation Group at Nissan
(Master Black Belt of Nissan’s proprietary Six Sigma program)
Solved a variety of business and management problems at Nissan’s global headquarters; they involved new business development, process optimization, organization restructuring, etc.
2014- Founder of Data & Story LLC

Published 10 business books about decision making and data analysis in Japan, Korea, China, and Taiwan.

Practical data analysis training programs

Program Outline
A For beginners
(half-day to one-day)
  • Learn how to collect and read necessary data (basic “data literacy”)
  • Learn fundamental data analysis/problem-solving process
  • Learn basic data analysis techniques and their application to practical problems
B Standard programs
(one-day)

Hypothesis-driven analysis program (B-1)

  • More focus on the process before the analysis (issue definition, hypothesis development, etc.)
  • Learn a full set of basic analysis techniques (average, standard deviation, CV, correlation, single regression analysis, etc.)
  • Learn how to solve business problems (root cause analysis etc.)
  • Learn how to effectively present analysis results

Story-making program (B-2)

  • Learn how to make a consistent story with objective logic and data by using a practical business case
  • Learn a full set of basic analysis techniques (average, standard deviation, CV, correlation, single regression analysis, etc.)
  • Learn how to combine data analysis techniques to make your argument more solid and convincing
C Data literacy program for managers
(half-day)

Unique program specific to managers who are not involved in data analysis but need to make decisions based on it.

You can improve the quality of your decision making by answering the following questions:

  • How should I read the data?
  • What do I need to check when I receive a proposal with data?
  • What pitfalls could I face when I receive/present data analysis results?
  • How can I improve my team’s output/performance of data analysis activities etc.?
D Customized program

A program organized for clients (in most cases, actual business issues and data are used)

An intensive class/program (e.g. a one-week/two-week program) for universities is also available
 
 

Business logical thinking/problem solving/ hypothesis development(Active-learning programs)

Program Outline
A Hypothesis-development skill program
(one-day)
  • Learn how to logically develop hypotheses for business problem solving and/or data analysis
  • Learn some techniques that will prevent you from missing critical assumptions
B Problem solving with logical thinking and framework
(one-day)
  • Learn how to develop convincing conclusions with logic
  • Learn how to find the root causes of a problem logically
  • Learn how to facilitate a team discussion to effectively reach a logical consensus
C Customized program

A program organized for clients

An intensive class/program (e.g. a one-week/two-week program) for universities is also available
 
 

Program schedule (Example of one-day business data analysis)

1. How can you use data for your daily business? Lecture 30 min.
2. From “Data-processing” to “Data-analysis” Lecture 30 min.
3. Hypothesis-driven approach Lecture + Exercise 30 min.
4. How to identify issue points Lecture + Exercise 40 min.
5. How to capture the characteristics of data and compare Lecture + Exercise 90 min.
6. How to find relation of to data sets Lecture + Exercise 60 min.
7. How to quantify the data relation Lecture + Exercise 40 min.
8. How to effectively present your analysis results Lecture 30 min.

 

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