Many discussions are going on about the “data analysis” and/or ” data application to business fields”.
However, their definitions and scopes are not necessarily identical, which causes lots of confusions and misunderstandings.
One of the biggest gaps which are NOT recognized in general would be the difference between “Data science” and “(practical) Data analysis”.
In order to clarify the overall picture of the “Data Analysis” world, you can see the following MAP:
Before touching the actual data itself, you need to identify which category are you addressing when you say “Data Analysis”.
It depends on your ultimate goal to achieve with the data.
If you are NOT a data analyst nor a data analytics expert and want to simply apply some basic data analysis for your business problem solving, then you do NOT need to learn “Machine learning” for instance.
What you need would be how to design the problem-solving process (Analysis Design) and how to apply the basic data analysis (mostly by Excel) for your issue(s).
The biggest issue I have observed at my client’s business offices is the fact that many people do not even”Data analysis” but do only “Data arrangement”.
This is the reality, which is far away from the “Data Science” world.
I am helping those “usual” clients to improve their business problem solving skills using “Data Analysis” techniques (not Data Science), as it is what many people need and contribute to thier immediate issues.
I hope this may clarify confusions and help you identify what you should learn and/or apply.
Here is a part of my presentation in the “data analysis” seminar.
I always emphasis the significance of the right approach to a problem when you apply “data analysis” for solving it.
I found that many people struggled to find effective solutions based on the data especially when they started with analyzing the data without properly defining/formulating the problems and making hypothesis. Even if you find something from data, it might not be effective enough to solve the fundamental problem you have.
I call the necessary part in the problem-solving process as “ANALYSIS DESIGN”. My training programs all focus on the skill sets to design the analysis (i.e. problem-definition/formulation and hypothesis making) so that they can find a “right” solution.
This is something you should learn before learning the methodology of data analysis and/or difficult theory of statistics if you want to obtain the analytical skills to apply for business problem solving.
Also it is an important skill in the AI(Artificial Intelligence) era for many business persons as analysis itself can be already done by machines.
I have programs to train business persons and university students on this subject.
I have some business skills training programs in English, such as “Business data analysis”, “Logical thinking for business problem-solving” etc.
I also have some class programs for undergraduate/graduate students at university.
Please find more details at the following link: http://data-story.net/english/
The skills you can learn in the programs are “fundamental”, “practical(not purely academic) ” and “effective” in any type of business.
It is also possoble to customize the contents of the programs according to your requirements and conditions. (eg. 1 hour speech to one week intensive course)
Please feel free to ask any questions on my programs.
This is a very interesting presentation as the final exam of my “Business statistics” class at Yokohama National University in Japan.
My classes are all for international students and this is work of a student from Vietnam.
The students learned how to set a practical goal and how to effectively use some analytical techniques to support the conclusion(s).
The student tried to find out the difference of the students from two different countries, Vietnam and Japanese in terms of GPA and objectives to learn at university.
While the sample size is small and the conclusions are not necessarily surprising, the approach and analysis itself was quite interesting.
My class is not just to teach some academic analytical techniques but to teach how to apply those techniques to meet practical goals.
I would be happy to give my lecture anywhere in the world.
The last factor to consider when drilling down the data is “data availability“.
It seems so natural to care about its availability but it is extremely important and practical to think of it before studying what axis you apply for the drill-down.
You may be able to consider any ideal axis to break the data but you may end up with giving up the idea during the analysis. In reality you cannot obtain all the data you need, especially if you are not an analyst or do not belong to such specialized organization for analysis who can afford to procure the data from outside, you have to manage/struggle to reach required outputs only with already existing (i.e. available) data at hand.
Before you notice the fact such data does not exist at hand at the end of the analysis, you should consider whether you have the data available to apply for the axis you choose.
My suggestions at my lecture and trainings are always very practical as above. They will help you save your time and efforts when you analyze business data.
Posted in Data analysis for daily jobs
Tagged Analysis, データ＆ストーリー, データ分析, Bigdata, busines school, Business, Business data, Business skill, Business statistics, course, Data, data analysis, Data analyst, Decision making, Kashiwagi, lecture, management, practical, professor, program, training, university, Yoshiki, 柏木吉基
I had a training program for one of the public sectors in Japan yesterday.
The mayor of the city has a tremendous sense of crisis on the current and future management of the city. He is eager to engage in the human skill development to improve the value and quality of the service and management.
The mayor directly asked me to support his initiative to develop the skills in the organization and it was the first step to have a basic training session.
As it was the initial session, I focused only on the very fundamental but essential topics such as:
– How to define an issue and develop hypothesis for the issue
– How to utilize basic analytical tools to describe the whole picture of the issue and identify the potential issue point(s)
I will continue my support in order for them to acquire those skills/proficiency in the organization.
I am so excited to be involved in such critical initiative and happy to contribute to the enhancement of the people.
Link to my website (in Japanese) => http://data-story.net
Posted in Uncategorized
Tagged Analysis, データ&ストーリー, データ分析, Bigdata, Business, Business data, Business skill, Business statistics, 燕市, 研修, Data, data analysis, Decision making, 英語, 英語で研修, Japan, Kashiwagi, public sectore training, training, Yoshiki, 吉基, 地方自治体, 新潟県, 柏木
While it is in the spring break now, I would like to resume updating when the new semester starts in April.
I will have a class of “Logical problem-solving” for the international students, where I will talk about how you can solve business issues in a logical way to reach an agreement and/or to get an approval of a decision-maker.
Logical thinking approach is required for problem-solving and data analysis which can be a method for the problem-solving as well.
What I found at my class of the university or in the training programs for corporate clients was they need to learn more about how to apply the data analysis techniques for their practical problems.
They all depends on my personal and professional experience at the global company, Nissan Motor Ltd., where I used to work as a business/management problem-solver with its executives.
I am so excited to start the new program for the class and for my corporate clients as well.