Along with examples of usage and the advantages of each technology.

If you observe the workflow in many organizations, you'll find that a significant number of employees spend repetitive tasks every day, such as copying data from Excel into a system, entering data into various programs, or creating routine reports.

These tasks aren't difficult, but they are time-consuming and need to be repeated almost every day.
Furthermore, there is a higher chance of human error.

In recent years, many organizations have begun looking for ways to automate these tasks , and the technologies frequently discussed are RPA and Python.

Many people may wonder what the difference is between RPA and Python.

The truth is, both can help automate tasks within an organization, but their roles are quite distinct.

• RPA is a tool designed to automate tasks.
• Python is a programming language that can be used to develop automation systems.

Let's take a look at each component and see what each technology can do and what kind of work it's suitable for.

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What is RPA?

Robotic Process Automation (RPA) is a technology that uses software robots to perform tasks that would otherwise be done by humans on a computer, mimicking the actual workflow of the user.

Simply put, if a task requires doing the same thing repeatedly, such as...

• Click mouse
• Enter information
• Open file
• Copy data from one system to another.

RPA can perform these steps instead of people.

RPA (Robotic Process Automation) works in various ways, such as working through a graphical user interface (GUI) like a real employee, working directly with website elements, or working directly with programs like Excel, etc.

Another advantage is that RPA can integrate with existing systems used by an organization.
For example, ERP / CRM / Excel / website / internal enterprise systems.
Without needing to make significant changes to the existing system.

For this reason, many organizations are adopting RPA to...

• Improve work efficiency.
• Reduce repetitive tasks.
• Reduce human error.

And one advantage that is often mentioned is...

• Quick to get started.
• No programming skills are required.
• It can integrate with the organization's existing systems.

Examples of tasks suitable for RPA in an organization.

In practice, many organizations use RPA for tasks with clear, repetitive steps. For example:

Accounting / Finance

• Automatic invoice data recording.
• Verify payment amounts from multiple systems.
• Create daily or monthly financial reports.

HR work

• Record employee information into the system.
• Calculate salary and benefits.
• Automatically send documents or emails to employees.

Sales Department

• Extract customer data from websites or various files.
• Record the lead in the CRM system.
• Send automated emails to customers.

When using RPA, tasks that once took hours may now take only a few minutes.
This allows the team to focus their time on analysis, strategic planning, and work that creates more value for the business.

Therefore, RPA has become one of the technologies that truly helps organizations achieve Digital Transformation.

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What is Python?

On the other hand, many people working in technology or system development may be familiar with Python.

Python is a very popular general-purpose programming language because its syntax is easy to read and understand, similar to English, making it easy for beginners to learn.

In addition, Python has numerous libraries and tools that help to develop systems efficiently.

Python has a wide range of applications, such as:

• Software development
• Website creation
• Data Analysis
• The development of AI and Machine Learning.
• Creating an Automation System

In the field of automation, Python has several helpful tools, such as:

• PyAutoGUI for controlling mouse and keyboard.
• Selenium is used to control web browsers.
• Pandas for managing data.
• Requests for connecting to the API.

Examples of common uses include:

• Control Office programs.
• Send automatic email.
• Extracting data from websites (Web Scraping)
• Create a notification system.
• Develop tools to support organizational work.

Thanks to its language flexibility, Python is one of the most popular tools in many businesses worldwide.

Examples of jobs suitable for Python in an organization.

Generally, Python is more often used in tasks related to data and systems development.

Accounting / Finance

• Generate automated financial reports from large amounts of data.
• Analyze income and expenses.
• Combine data from multiple Excel files to create a report.

Marketing work

• Analyze customer data and usage behavior.
• Extract information from websites or social media.
• Create a marketing campaign results report.

Sales Department

• Combine customer data (leads) from multiple sources.
• Analyze sales figures to identify market trends.
• Create a dashboard to display sales data.

However, developing tools with Python requires programming and system development skills to be practically implemented in an organization; it's not something that every employee can learn to use.

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The difference between RPA and Python.

Although RPA and Python are both used in automation, their concepts and implementations differ considerably.

Generally, Python is suitable for developing new or specialized systems.

While many organizations that want to automate their existing legacy systems and need to get started quickly often choose RPA (Relative Process Automation).

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To get started with RPA in your organization.

Although Python can be used to develop automation systems, for many organizations, developing systems in-house will still require other tools.

• Software developers
• Development time
• Long-term system maintenance.

In practice, many organizations choose to use ready-made RPA software that can be implemented more quickly.

One of the tools developed to support business use is Michiru RPA.

Michiru RPA can create workflow automation without requiring extensive programming and is designed to help organizations achieve this.

• Reduce repetitive tasks.
• Improve work efficiency.
• Reduce human error.
• It can be implemented without changing the organization's existing systems.

For more details on using RPA for businesses, you can read more here.
👉 https://thai.fakiki.com/pages/michiru_rpa

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