Languages: English, Japanese
Price (from): €2,000 / day
Prof. Yoshiki Kashiwagi is recognized as a professional business skill trainer with a comprehensive background of practical business at Hitachi and Nissan for over 20 years. He is supporting over 50 large corporate clients and over 3,000 business persons (Over 160 days) annually for performance enhancement and problem-solving mainly through logical thinking and data analysis. He is also a book author of practical business skills (over 20 titles, translated into several languages), Professor at Tama graduate school of Business (Critical thinking) and lecturer for the international BBA students at Yokohama National University in Japan. He is on a variety of on/offline media and known as the “ONLY ONE” trainer in Japan who can teach practical problem-solving skills with data analysis based on the working experience as a change agent at the large firms and consulting track records.
About the training
For most of the business persons (not data-scientists) in any industry, the “data-science” skills are NOT solutions for effective and practical use of data. While many companies have been trying to improve the “data analysis” skills, with which you may extract something from the existing data you obtained and label it “insight”, they result in several useless graphs, charts and/or tables.
To address the situation, you need the skill to apply the data and analysis for your practical objectives/problems.
You may not get any valuable insights even with any excellent data analytics unless you use the “right” data. You may not get any “right data” unless you define the objective or problem in a proper way.
Fundamentally, “data-analysis” is not an objective but just a tool to achieve your objectives.
In this course, you will learn how to DESIGN your data analysis (as a tool) to meet the objectives. Learning data/graph reading techniques, academic statistics theory or analytical techniques (including data-science) is NOT the goal.
We will use some practical exercises with Microsoft Excel in order to learn the necessary process and some basic analytic techniques.
*: No statistic background/knowledge required. Basic Excel skills are required(Calculation, simple graphing only)
How to properly define the objectives for data analysis/ data utilization
How to identify the right data to meet your objectives
The right process to apply data analysis and some basic analytic techniques
How to design your analysis logically and critically to reach a “story-telling” conclusion
(Standard 1DAY program: to be arranged for each client’s goals)
Difference between “data-science” and “Objective-driven” data analysis for the practical business
How to shift from “Data-driven” to “Objective-driven”
Are you solving the right problem? (Objective definition)
Are you using the right data? (Data identification)
How to read and evaluate the data in a multiple-way (Result evaluation)
Focusing on the relation between two sets of data (Correlation)
Quantify the relation (Simple-regression analysis)