Recently, with the promotion of work style reforms, it has become an era in which work efficiency is required in many industries. There are various ways to improve work efficiency. Among them, the introduction of data analysis can be expected to be very effective. However, you may be wondering, “What is data analysis?” And “What is the method?” Therefore, this time, I will explain about work style reform using data analysis.
Table of contents
- Relationship between data analysis and work style reform
- There are also challenges in work style reform
- Solving work style reform issues with data analysis
- Steps to promote work style reform through data analysis
- Please contact TRYETING if you want to promote work style reform.
- summary
Relationship between data analysis and work style reform
Data analysis is a technique that allows you to analyze large groups of data and gain insights and insights from them. What is the connection between data analysis and work style reform? Before we get to that, let’s first get an overview of data analysis and work style reform.
What is data analysis?
Data analysis is the division of data into several elements to clarify the details of components and composition. As the result of data analysis, more different information will be returned as the content and viewpoint increase. In today’s digital age, where everything is digitized, it is important to develop a solid business strategy by gaining awareness from the analysis results of those data.
Work style reform is spreading in companies
Since 2016, the government has been promoting work style reform efforts. Over the last few years, more and more companies are taking on the challenge of work style reforms such as the introduction of telework and DX. The Labor Standards Law was amended in April 2019 to set an upper limit for overtime work, so it can be said that attention to work style reform is even higher.
Background of attention to work style reform
The background is the diversification of working-age needs, such as the decrease in the working-age population due to the declining birthrate and aging population, and the balance between childcare and long-term care. The individual circumstances of workers are diversifying, and there is a need for a society in which many people have a better future outlook through work styles that suit their lifestyles and needs.
There are also challenges in work style reform
Work style reforms have been introduced by many companies under the initiative of the government, but the benefits are not the only result. There are also disadvantages created by the shortened working hours and the inability to work in the traditional way. Below, I will explain the challenges of work style reform.
Profit goes down
For companies that have not been able to build operations that respond to work style reforms, the profits of their core business may decrease due to too much effort to promote them. It is not possible to reduce working hours while maintaining the previous profits by simply reducing working hours, but it is costly to improve the system for the purpose of improving work efficiency and productivity. there is. Many companies are in this dilemma.
Can’t reduce long working hours
Improving long working hours was the main focus of work style planning, but there are quite a few companies that have not yet been able to improve it. Reasons for this include a shortage of human resources and delays in system introduction. Due to reasons such as cost and corporate culture, there are companies that have not progressed from the old-fashioned system to the new one and are still working long hours.
The amount of work does not change
Overtime work has been overhauled by work style reforms, but this has created a situation where many employees have to do the same work in a short amount of time. Therefore, there is an urgent need to improve work efficiency and productivity, but working styles that supplement this with individual efforts rather than mechanisms require a heavy physical and mental burden. As a result, the performance of employees deteriorates, which may lead to an increase in human error, retirement, and mental illness. Therefore, reducing the amount of work is also an issue for work style reform.
Solving work style reform issues with data analysis
The issues of work style reform mentioned above can be solved by introducing data analysis. Gaining insights and insights from a variety of data through analysis has the following benefits:
Can be used for marketing
Data analysis enables you to analyze the status quo and predict the future, accelerating your marketing. By collecting data, it is possible to grasp the market share of the company’s market, which has been done manually so far, and to predict future market trends and sales trends with higher accuracy. By collecting data and analyzing relevance and causality, you will be able to obtain more reliable results and use them for future marketing measures.
Can clarify the problem
Being able to discover problems and issues of your company that have been overlooked is also an advantage of introducing data analysis. In the past, experienced staff discovered them, but since human power depends on the abilities and skills of specific staff, there were problems such as personalization of work and lack of objectivity. Introducing data analysis and collecting and analyzing all the data stored in-house makes it easy to gain new insights from complex elements.
Can make decisions quickly
The insights gained from data analysis speed up corporate decision making. Decision making is generally very time consuming due to the complex intertwining of various factors, from the current situation of your company to the situation of other companies and even the overall trends in the market. However, data analysis can be used to process that information faster, resulting in faster decision making.
Steps to promote work style reform through data analysis
In order to promote work style reform through data analysis, it is important to keep the main points in mind and follow the steps in order. From here, I will explain the general procedure for performing data analysis.
Clarify the purpose
When analyzing data, it is necessary to clarify the purpose in advance. If the purpose is not decided, it is possible to make a mistake in the procedure of data analysis and make a large detour.
First, identify the current problems, and then consider the objectives you want to achieve, such as “I want to know the sales situation” and “I want to know the results of the department”. If it is difficult to clarify the purpose from the beginning, set it to a relatively easy-to-understand index such as sales increase at first, and gradually clarify the purpose.
Make a hypothesis
In data analysis, it is necessary to build a hypothesis. Hypotheses are the basis for data analysis and numerical testing. However, it is not realistic to try to find out all the hypotheses because it would be a huge amount of work. By analyzing the data and extracting issues, you can prioritize from multiple hypotheses and narrow down the actions with higher accuracy. It is important to set questions that can answer the current problems and problems using Yes or No formulas, multiple formulas, etc., and extract hypotheses that are likely to contribute to problem solving.
Analyze data with tools
Once you have the data you need to build and test your hypothesis, you can analyze it. The analyzed information is useful for business strategy planning and decision making. In this case, if you introduce a data analysis service that suits your company’s purpose, you will not need much human resources and you will be able to work efficiently, so let’s actively utilize the tool.
Please contact TRYETING if you want to promote work style reform.
The introduction of analysis tools will help promote work style reforms, but there are various types of analysis tools, and I think some people in charge may be wondering which one to choose. The tool I would like to recommend is the no-code AI cloud “UMWELT” developed by TRYETING. UMWELT is an AI tool that allows you to use data analysis algorithms that are useful for automation and labor saving without programming. Even if there are no AI personnel or data analysis personnel in the company, it is a service that can be used with confidence.
summary
Business efficiency is an indispensable theme in promoting work style reforms advocated by the government, and it is extremely effective to introduce data analysis tools for that purpose. By analyzing data and using it appropriately, you can acquire useful information for your business and streamline and automate all operations. Work style reform is a means to realize DX and should be a driving force for changing companies. How about making effective use of TRYETING’s “UMWELT”, finding the best method for your company, and actively incorporating it?
