Data analysis work is now an integral part of the business scene. By analyzing big data, many companies have become able to formulate business strategies and manage risks based on market trends. Data utilization is also very effective in the field of marketing. In this article, I will show you how to improve your data analysis skills and the abilities you need to operate in your business.
Table of contents
- Aim to improve your data analysis skills
- Skills required for data analysis: Techniques
- Skills required for data analysis: Business
- A way to hone your data analysis skills
- No-code AI tool “UMWELT” to start data analysis
- summary
Aim to improve your data analysis skills
The size of the data market is growing year by year, and so are the ways to learn data analysis. But why is data analysis so valuable? First, let’s get an overview of data analysis and its need.
What is data analysis?
Data analysis is to collect necessary information, numerical values, characters, etc., and extract information according to the purpose from the collected data. New approach methods, problem extraction, and improvement methods from useful judgment materials obtained by organizing and analyzing data such as customer attributes, sales data in each region, employee attendance data, and the number of inquiries for each product/service. Can be found.
The need for data analysis is increasing
In today’s world, where various factors can be analyzed numerically due to the acceleration of information technology, the implementation and improvement of measures based on data are showing great effects. Data utilization is used in various business situations, but the introduction of data analysis can be very effective, especially in marketing. Data-driven marketing has enabled accurate decision-making.
Data analysis is used in a variety of jobs
Data analysis enables us to understand the current situation and discover new things and gain insights, which is also useful for verifying the effectiveness of measures and strategies. In business, we can make decisions by organizing and analyzing data such as customer attributes, sales in each region, employee attendance, and the number of inquiries for each product/service. From there, it is possible to discover new approaches, issues, and improvements.
Skills required for data analysis: Techniques
What skills do you need to actually bring data analytics to your business? Below are some of the skills you need.
programming
Programming languages such as Python and R are indispensable for data analysis. Python, an open source, has a rich library of statistics, machine learning, data analysis, etc., and is an indispensable language for data scientists. The R language is also used as a data analysis / statistical programming language.
Analytical means
In fact, there are many different methods of data analysis, and the appropriate method depends on the purpose. Specifically, there are factor analysis, principal component analysis, cluster analysis, etc., but each has its own characteristics and advantages and disadvantages. The analysis method is like a kind of framework, and it is important to have multiple methods in mind in advance and to draw out the appropriate one as needed. Thinking about the analysis method from scratch is often just inefficient, so learn in advance.
Back end
Back-end development techniques are also one of the skills required for data analysis. The back end is the part that is generally invisible to the user, such as the server side (such as a web server) or the database system. Here, data such as characters and operations entered by the user are mainly saved and search results are output. Programming languages such as Java, JavaScript, PHP, Python, and Ruby are used for backend development, and at the same time, a dedicated framework is also utilized.
Skills required for data analysis: Business
Data analysis requires not only technical skills, but also business skills. Therefore, I would like to introduce business skills for smooth data analysis.
Communication skills
Communication skills are important not only in data analysis but also in all business situations. By utilizing your communication skills and accurately communicating the information necessary for your work, you will be able to solve larger problems as a team. The ability to explain and communicate actual operations is essential, such as when incorporating the results of data analysis into an action or when it is necessary to involve people in the company in the action.
Knowledge of specialized field
Specialized business skills are required to apply the knowledge gained from the results of the analysis to the actual business. Machines perform analysis, but humans devise and execute ideas and measures that utilize the results in business. Therefore, skills that can firmly bridge the analysis results and business are required. At the same time, it is also important to have communication skills to convey ideas based on the analysis results to those around you.
Logical thinking ability
Logical thinking is a skill that captures information objectively and structurally. Data analysis will not succeed unless the information required to solve the problem, its aggregation method, and the processing procedure / policy are consistent. Therefore, it is necessary to have the thinking ability to accurately read the background of things, formulate a valid hypothesis for a task, and formulate an appropriate method for verifying it.
A way to hone your data analysis skills
There are many skills required for data analysis, but none of them are immediate. What are some ways to hone your skills?
Study by yourself
Nowadays, it is possible to self-taught data analysis by utilizing abundant books and videos. This method is excellent in that you can select the learning content according to your interest and understanding, and you can always refer to the framework and code required for data analysis by purchasing a book. On the other hand, the disadvantage is that learning efficiency is slightly inferior to other methods.
Go to school
In recent years, the use of online learning sites has become a major method. There are free and paid ones, and the contents are various, so the advantage is that you can choose what you think you need at the moment. The content for beginners is often free, so it is recommended for those who want to learn from the beginning of data analysis.
Take advantage of AI tools
There is also a way to learn while actually analyzing data using AI tools. This method improves learning efficiency because you can experience the theory learned by actually performing data analysis work using AI tools. Data analysis has a professional image, but you can understand that it is not so difficult to utilize it in business by actually touching it through tools.
No-code AI tool “UMWELT” to start data analysis
If you are looking for a tool that can analyze data, we recommend the no-code AI cloud UMWELT developed by TRYING. With UMWELT, you can visualize various analysis contents such as data cleansing, data combination/conversion, and file acquisition while minimizing the introduction cost. It is equipped with many AI algorithms that are useful for data analysis, so even if you do not have specialized personnel in your company, you can easily analyze data using AI. We have a track record of introduction in a wide range of industries, from major companies to startups.
summary
Data analysis is becoming more and more important in corporate activities. On the other hand, the shortage of data scientists has become a major issue. UMWELT can analyze data by AI even if there is no data analysis personnel in the company. If you are interested in business personnel, please take this article as an opportunity to contact TRYING.
