Automation Digital Transformation

Automation Advantages in Digital Transformation

Learn the advantages of automation in implementing digital transformation.

Digital transformation is a new way of thinking about the business and current processes used to make the company more efficient. So, to implement DX successfully, there needs to be a significant focus on automation which you can apply by using artificial intelligence.

Automation Advantages in Digital Transformation

1. More Efficient in Bringing Business Value

Humans are not efficient enough to deal with the volume and complexity of digital transformation produced by digital transformation. So you can use automation to derive value from this amount of data and make the business more efficient. 

2. Better Competitiveness by Leveraging Data

Automation and analytics together will allow businesses to increase their competitiveness, efficiency, and productivity, perhaps. For instance, by analyzing data and implementing the right decisions through artificial intelligence.

3. Happier and More Productive Employees

The ability to do tasks automatically through artificial intelligence will also allow workers to focus on more complex tasks that require human intuition.

4. Influences Human Adoption to Technology

Moreover, one of the biggest challenges in many organizations is getting employees to change their behavior to benefit the company or organization as a whole. Many companies are finding that automation can be a great enabler for influencing human behavior change.

5. Make Better Decisions by Data & Statistics 

One of the biggest benefits of automation is the ability to use artificial intelligence to make decisions. Humans are not good at making decisions based on statistics and probabilities because they are not good at dealing with uncertainty. So this is where artificial intelligence comes into play because machines are very good at dealing with uncertainty.

Top Priorities for Automation in Digital Transformation

• Automation of the operational tasks to free up time for more value-added work.

You can automate programs in a way that they do not require a human to deal with the day-to-day operations. This is very important because it frees up time for employees to focus on the more complex issues that need human intuition. Programs that are automated can be used to improve efficiency and productivity.

• Automation of manual tasks to free up time for strategic tasks.

More so, many manual tasks that employees are performing are not adding value to the business and will not help implement digital transformation. These tasks should be automated so that employees can focus on more strategic tasks.

• Automation of decisions based on data and probabilities.

It is crucial to automate as many decisions as possible to help with making the right decisions based on data and probabilities. Perhaps you can use artificial intelligence to make decisions based on the correct data and probability.

Conclusion: Automation Advantages in Digital Transformation

Automation is a crucial enabler for digital transformation. Automation, particularly artificial intelligence (AI), is a vital element of digital transformation.

For example, automation helps to improve efficiency and productivity. Also, it allows employees to focus on more critical tasks.

The best strategies for automating are the ones that address core processes like purchasing or developing new products. Companies can also use automation to respond to their customers’ needs faster and better.

There are many ways to use automation in digital transformation, but the most important thing is that you use it to free up as much time as possible for more strategic tasks. 

Automation Digital Transformation

Robotic Process Automation vs. AI: Differences and Benefits

Learn the differences between robotic process automation vs. ai.

Robotic Process Automation vs. AI

What is artificial intelligence?

Artificial intelligence, or AI, has been a popular topic for many years. For some, it represents the technological future. For others, it is a looming threat to humanity. 

But regardless of how people feel about it, AI is not something that will go away. As companies start to implement AI in their operations and processes, they are beginning to realize the technology’s immense potential. 

In recent years, AI has become one of the most hyped technologies in business. At the same time, many people have started to wonder whether or not it will replace jobs shortly. 

But what if there was a way to implement AI into processes without replacing jobs? This is where robotic process automation comes into play. 

Also, artificial intelligence vs. RPA Artificial intelligence typically refers to a system that can think on its own and make decisions based on its programming. It is also known as machine learning or cognitive computing. 

What is robotic process automation?

On the other hand, robotic process automation refers to ways in which you can use technology to automate processes and tasks traditionally done by humans. 

Robotic Process Automation vs. AI: Towards the Same Goal

The goal of both approaches is essentially the same: improve productivity and efficiency while reducing costs and increasing profits. 

But despite these similarities, there are still some differences between these two technologies that businesses should consider when deciding which one to use in their operations. 

Benefits of Robotic Process Automation vs. AI in Businesses

1. Increased Efficiency

One of the biggest reasons businesses are implementing RPA and AI in their operations is increasing efficiency. By using these technologies, companies are maximizing the productivity of their employees. 

2. Reduced Costs and Operational Overhead

You can apply RPA and AI in a variety of business operations without having to hire more employees. Thus, allowing companies to reduce costs and overhead while optimizing their processes. 

3. Improved Customer Experience

Perhaps the most crucial benefit that companies get from implementing RPA and AI is a better customer experience. Besides, these technologies help to improve customer service and make the company more responsive to client needs. 

Differences of Robotic Process Automation vs. Artificial Intelligence

1. Vendor and Customer Relationship 

Businesses that use AI usually have a close relationship with their vendors. This is because AI relies on the vendor to provide data and information about their clients. 

On the other hand, RPA is more independent when it comes to data and information. This is because RPA uses an in-house database to store data and information without relying on a vendor. 

2. Data Privacy and Security 

Another significant difference between AI and RPA is data privacy and security. For AI, the companies that use it typically have to share their client data with the vendor who provides it. With RPA, however, businesses can keep their client data private by using an in-house database. 

3. Implementation Time and Effort

Because AI is more dependent on other technologies, it requires more time and effort to implement. RPA, on the other hand, can be implemented relatively quickly and easily. 

4. Risk and Cost of Failure

One of the most significant differences between these two technologies is the risk and cost of failure. AI is very risky, especially when it comes to implementation. This is because AI requires a close relationship between business and vendor. 


RPA and AI are both technologies that you can use to improve business operations. But despite their similarities, they are still different in many ways. 

RPA is more independent and can be implemented more quickly and easily. It also allows businesses to keep their client data private. 

Automation Digital Transformation

Tips in Robotic Process Automation Learning

Here are tips on how robotic process automation learning.

What is Robotic Process Automation?

Robotic process automation is a set of technologies that can automate business processes. It can also automate repetitive tasks and to provide an interface between humans and machines.

Basics of Robotic Process Automation

For example, here are the fundamentals of robotic process automation:  

1. The technology allows process automation to be performed without human intervention.

2. It is used to automate both simple and complex business processes.

3. You can also use it for both manual and non-routine tasks.

4. Robotic process automation applies to multiple purposes, such as cost reduction, increased efficiency, and improved customer service.

5. It is used in various industries, such as banking and finance, retail, healthcare, insurance, and other service industries.

6. The technology can integrate with various software and applications used in an enterprise environment.

Why Learn Robotic Process Automation?

Here are some reasons why you should consider learning robotic process automation, for example:

  • Gain knowledge about the latest technologies being used by enterprises today.
  • Become a valuable asset in the field of robotics and automation.
  • It is easier for you to get a job in the field of robotics and automation.
  • It can help you land a job that pays well and gives you job satisfaction at the same time.
  • Helps you make sense of the fast-evolving field of robotics and automation.

Robotic Process Automation Learning Tips

So, you can learn robotic process automation in different ways.

For example, you can learn when you visit robotics companies that offer courses on robotic process automation. Besides, they usually offer online courses or video tutorials on using their robotic process automation platforms or applications.

Also, you can take a certification course on robotics platforms or applications if your budget allows it or if you have the time to do so.

Perhaps you can attend free seminars offered by these companies as well. Besides, online certification courses are also available for those who prefer studying online. However, these courses usually cost money that must be paid upfront before you can start studying with them. 

If you are a student or an employee, you may also get a discount on these courses if they are not free anyway. You may also get vouchers from your company’s learning and development department if there is one for educational purposes only.

Here are more tips on how to learn robotic process automation:  

1. Learn the basics of robotic process automation and how you can apply it in various industries

2. Consider taking a robotics course

3. Read books on robotics and robotic process automation

4. Watch videos on robotics and robotic process automation

5. Observe and participate in forums related to robotics and robotic process automation, for instance

6. Learn and practice on robotics platforms

7. Join online communities

8. Consider taking a certification course

9. Get trained and certified on robotics platforms

10. Download free e-books and whitepapers on robotics and robotic process automation


Learn robotic process automation because it is a hot field to be in right now. It can help you land a job that pays well and gives you job satisfaction at the same time. 

You can learn robotic process automation in many ways. For example, you can learn by reading books on robotics and robotic process automation. Also, watching videos on robotics and taking certification classes are effective in learning deeper.

Automation Digital Transformation

What is Robotic Process Automation?

Have you ever ask yourself what is robotic process automation? Also, or someone has ever asked you what is robotic process automation? This article gives you ideas about robotic process automation (RPA).

In this article, we will discuss these four questions:

  1. What is robotic process automation?
  2. How does RPA work?
  3. What are the benefits of RPA?
  4. What are the challenges of RPA?

Read on to learn more.

What is Robotic Process Automation?

Robotic process automation (RPA) is a technology that imitates the way humans communicate with software. To also do repeatable tasks. 

RPA technology produces software programs or bots. That can log into:

  • applications
  • enter data
  • calculate tasks
  • complete tasks
  • also copy data between applications or workflow

RPA can capture more context from the content it is working with. If it is also combined with artificial intelligence (AI) and machine learning.

This happens by: 

  • reading text or handwriting with optical character recognition (OCR).
  •  invoice terms or addresses using natural language processing (NLP).
  • extracting entities like names
  • also capturing more context from images.

RPA is becoming popular every day. That is because of these three things:

  1. streamline processing
  2. reduce cost
  3. better customer experience

How Does RPA Work?

RPA imitates the way people interact with software applications. 

The simplest RPA bots can be created. How? By recording the clicks and keystrokes when the user uses the app. 

A user can simply watch how the bot is connecting with the app. When problems arise. And also, they can identify the steps that need to adjust.

These primary recordings serve as a template for building stronger bots. That can adapt to changes in layout, screen size, or workflows. 

More advanced RPA tools use machine vision. For them to understand the icons and layout. And to be able to make adjustments accordingly.

Some RPA tools are able to use initial recordings to create hybrid RPA bots. That starts by simply recording an actual workflow. Then creating workflow automation on the end.

These kinds of hybrid bots take advantage of the simplicity of RPA. And the growth and flexibility of workflow automation.

What are the benefits of RPA?

It assists organizations on their digital transformation journeys by doing the following:

  • allowing employees to be more productive.
  • lessen costs by decreasing manual and constant tasks
  • enhancing performance by data
  • speeding up the processing time
  • making sure that the business operations comply with regulations standards,
  • better customer service

What are the challenges of RPA?

  • Efficiency. RPA bots manually plug through an application in the same way a human does. This may not be as effective as automating applications.
  • Security. RPA bots require to access sensitive information to fulfill their tasks. If they are compromised, they bring an additional security risk.
  • Scalability. Companies have struggled to scale RPA automation initiatives. Why? because they can be hard to manage. That what makes it hard to scale. Even if they are easy to implement.
  • Privacy. Bots may be involved in working with personal information. The privacy requirements manage. That is why teams must ensure this data is processed. In accordance with local data protection law.
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Getting Through Robotic Process Automation Limitations

Learn from these robotic process automation limitations and you can overcome and get through them.

According to Gartner, robotic process automation (RPA) is today’s fast-growing segment in the global enterprise software market. In line with the growing demand, a new digital workforce is being expected among industries. 

This advancement in the workforce affects mostly the level of productivity and efficiency in processes and tasks. Not to mention that these perks come at a lower cost and on a 24/7 basis. What more can you ask for?

However, there are roadblocks to these RPA solutions that are making the RPA journey rather harder. So in this article, we will be addressing these limitations and see what practical steps you can take to ideally implement RPA instead.

Robotic Process Automation Limitations

1. Incomplete process automation

Of course, RPA cannot replace the value of human workers. Basically, because RPA cannot automate complex processes fully. Rather, RPA can only do automation in parts of the tasks. Perhaps parts of the task are visible via a user interface.

So RPA is effective in replacing tasks that are repetitive and having inputs that are perhaps predictable. However, to fully complete the whole process, interaction with other input methods or APIs are rather necessary.

To cope with this limitation, integration of RPA with Business Process Management (BPM) and IT Process Automation (ITPA) platforms is in need. As a result, a wider perspective or processes is possible. Not to mention that it also offers more methods of integration with different applications. 

Moreover, making use of these can lessen the need for more user interfaces that employees should learn and maintain. Instead, it will enable low-cost yet efficient automation.

2. Enterprise-scale challenges

Most often, scalability presents to be a real problem and limitation in RPA. Perhaps RPA vendors focus more on the number of hardware to run applications or how many times it can be duplicated. 

However, in RPA, scalability is not an infrastructure problem. But you can better address this limitation by improving RPA solutions. Perhaps solutions that deliver the following:

  • Broader integration
  • Stronger centralized controls
  • Greater resilience
  • Flexible licensing & deployment

3. Security & governance

Security and governance concerns enterprises with RPA. For example, concerns about the following are getting attention:

  • Storage and management of passwords and credentials
  • Accessing password vaults by different departments
  • Encryption of automation sessions
  • Monitoring of suspicious transactions for data loss prevention
  • Backup plans for any possible downtime

Of course, these are all but necessary concerns deserving much attention and answers. So enterprises should do so. Perhaps addressing these concerns one by one can help. Providing concrete answers to each possible concern is by far the most possible coping solution.

Of course, no RPA vendor can provide all of these solutions as of today. So finding the best RPA product that works best with your organization’s security protocols is the way.


RPA is, of course, promising. However, it is not a one-stop solution for all the enterprise’s automation concerns. So being reasonable with one’s expectations should help. You cannot fully excuse yourself from the limitations. But you can take the practical advice for solutions, instead. 

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How Does Robotic Process Automation Work?

How does robotic process automation work? The invitation to do more with less is nothing but appealing for businesses. Before, this claim sounds too good to be true. But today, RPA technology can help you do just that.

Robotic process automation (RPA) is best known for its help in improving efficiency. It can handle repetitive tasks, most often rule-based, in less time. Which allows human workers to focus on more productive tasks that require human expertise, perhaps.

However, to integrate it to its maximum potential, you must know RPA in depth. So in this article, we will be discussing more RPA and what it can do to you. 

How Does Robotic Process Automation Work?

How does robotic process automation work? There is no one specific answer to this question, however. Of course, every organization differs in processes and needs. So their needs for automation do too. 

But how about the “bots” that they call in RPA, what are they?

Robots that operate in RPA refer to the software running on a device. This may be a physical device or perhaps a virtual machine, for instance.

So when you implement RPA in your business systems, you can define your own set of workflows to a bot. This bot or robot will then do the task for you. Of course, according to what is configured into the bot.

What kind of tasks can you automate?

You cannot automate ‘just any tasks’, of course. Usually, bots can imitate tasks that include mostly human-computer interactions. These tasks are most often rule-based, repetitive, and monotonous. For example, this can be like moving files from one folder to another or copy-paste tasks. 

The purpose of RPA is not to replace human workers. Besides, there is still so much that bots cannot do, and of which, humans can only possibly do. So RPA software’s aim is to improve efficiency and accuracy in doing these essential yet tedious and time-consuming tasks. Thus allowing human workers to do more with their real capacity. Which is to do more than simply copy-pasting and transferring files.

Do You Need Coding Skills in Using RPA?

When you hear ‘automation’, the intensity and complexity of coding and configurations may scare you. At least, this is one common notion that people used to believe.

However, RPA is the exact opposite of complexity. Perhaps RPA consultants and experts are needed to better start your RPA journey. But to continually make use of it, RPA is relatively easy.

RPA software tools today are usually designed with a drag-and-drop feature. For instance, UiPath. This RPA vendor simplifies the creation of automated workflows in its Studio, by the ease of drag-and-drop function.

Because of this, RPA is mostly known as a “no-code” or “low-code” automation. So basically, you don’t need an expert programmer to operate RPA. Even non-programmers and professionals outside IT can use RPA for their repetitive tasks.

Final Thoughts

RPA is overall appealing to many businesses and organizations today. It takes away the complexity of automation by its easy interface design. So being a programmer who knows coding languages is not a requirement.

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All You Need To Know About Robotic Process Automation Tools

Get to know more about robotic process automation tools and beyond.

Repetition No More

Dealing with mundane, repetitive, and tedious tasks every day is somehow frustrating. In fact, it takes away a measure of productivity from a person. Because of this, employees who often get the same nature of tasks over and over again are more prone to error.

However, with automation, repetitive tasks are nothing to be worried about. Today, a lot of RPA Software is available in the market. 

So tedious, repetitive, and rule-based tasks are now tasked to bots. By doing so,  employees can be more productive doing the things that fit them and their nature. Thus, making use of RPA Software can boost employee productivity. Not to mention how it can lessen error in outputs with more accuracy and speed in execution.

What Are Robotic Process Automation Tools?

Robotic process automation tools or RPA is the use of software in automating tasks. As mentioned, tasks that are opted for automation are tasks that are rule-based, repetitive, and time-consuming. 

With this said, RPA is a huge time-saver while maximizing human resources to its best extent. 

Moreover, an RPA system commonly has three (3) major features. Namely, platform independence, scalability, and intelligence.

These three features should enable RPA systems to be:

  • Helpful in decision making
  • A good interface for bot programming
  • Able to communicate with other systems. It could be either through API integration or screen scraping.

Do you need to have programming skills to make use of RPA tools?

The most direct answer is, no.

Although having programming skills is an edge. But it is not mandatory nor very important. For instance, even small and medium-sized entities can make use of RPA tools. RPA tools today are designed with a simple user interface, for instance. This takes away the complexity of automation. While at the same time, it eases the weight of the human workforce through the use of software bots.

What are the three types of automation?

There are three given types of automation.  Namely, attended, unattended, and hybrid automation. What are these?

For example:

  • Attended automation. RPA tools that require human intervention through the automation processes. So monitoring is vital throughout the automation.
  • Unattended automation. This is unlikely with attended automation. Unattended automation can work even without human intervention. Why? Because these tools are equipped with intelligent and decision-making capabilities.
  • Hybrid automation. If you are looking for a combined automation tool, hybrid automation is for you. This type of automation can do both attended and unattended automation functions, for instance.

However, the type of automation should depend on the type of process or task you want to automate. So basically, in any way or another, all these automation types are useful. It all depends on the nature of work it is supposed to work with.

What types of industries make use of robotic process automation tools?

For example:

  • Healthcare industries
  • Insurance companies
  • Manufacturing industries
  • Retail industries
  • Telecommunications
  • Banking and finance

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Best of 7 Robotic Process Automation Example Put Into Practice

Here is a robotic process automation example put into practice. In this article, we will be listing at least 7 examples for you. You might be surprised how today’s society is needing more automation than ever.

Robotic Process Automation Example Put Into Practice

RPA tools can assist companies in various industries. Not to mention completing a wide number of tasks. RPA not only helps businesses keep up with digital adoption. Most of all, RPA can dramatically improve an organization’s performance.

So here are 7 examples of robotic process automation processes put into practice.

1. Call Center Operations

Call center operations are mostly helped with RPA. 

RPA can assist in receiving customer requests and queries, for instance. These can be provided through a dashboard, perhaps.

What if an issue arises?

RPA can consolidate all the custom data. Not to mention that it can do so by a single screen. So human agents can derive from all the information that they should need. These data come from multiple systems brought all together on a single screen. By doing so, agents can provide exemplary services.

2. Data Migration/Entry & Forms Processing

Data migration or entry is a tedious and error-prone task. But RPA can do so seamlessly. For example, when paper forms need to be transferred to a digital format. An RPA tool can read the forms and intelligently put data right into the system. As a result, humans are lifted off from the mundane task of manually inputting text.

Besides, this task is more often in need in making data available for newer systems. By all means, RPA can do so seamlessly unlike humans who are prone to making errors.

3. Claims Administration

RPA is mostly beneficial for the insurance and healthcare industries, also. For example, in doing the input and processing claims.

Besides, using an RPA system for claims administration lessens the probability of errors during the process. Moreover, an RPA system can smartly identify exceptions. This is mostly useful in saving unnecessary payments, for instance.

4. Employee Onboarding

Employee onboarding is another multi-tasked yet very crucial process. But with RPA, the onboarding process can be as accurate as ever.

RPA solutions can make sure that each employee is onboarded properly. All with the established processes, for instance.  Receiving all the necessary information for complying with company guidelines.

5. Help Desks

User technical problems involve much time and repetitive issues. So RPA solutions should fit the game. 

RPA can help lessen the human workload so these RPA solutions can provide more straightforward services to repetitive issues.

Conducting regular diagnostic tests with computer systems through bots is advance and helpful also. For instance, it can help human IT staff to stay ahead of issues.

6. Sales Process Support

Sales process support through RPA solutions can never be so seamless. For example, RPA can help in the following:

  • Updating CRM systems
  • Setting up clients in billing systems
  • Data entry into sales metrics & monitoring systems 

7. Scheduling Systems

For instance, in healthcare industries, RPA for scheduling systems is now made possible. With RPA, bots can gather all the patient details for any healthcare appointments. This can also include the patient’s appointment requests and location preferences.

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5 Fast Facts About Robotic Process Automation

Robotic process automation or RPA is the use of bots as software in replacing humans for repetitive tasks. Usually, tasks that are repetitive, rule-based, and manual opted for RPA. 

Increasing RPA Market

The RPA market, as you may know, is a booming industry in today’s market. In line with this, Gartner says that 2019 alone reaches up to $1.3 billion in RPA revenue.

This is why many big organizations are now building their Center of Excellence for RPA. After reaping the rewards of turning to RPA, many companies are now catching up with this fast-emerging technology.

Certainly, RPA is an amazing and interesting subject in the field of technology. It makes us feel like living the former science-fiction movies, perhaps. But, as you should know, RPA is no more like science-fiction. RPA is automation and robotics in reality. 

In this article, we will be listing the 5 must-known fast facts about robotic process automation. Knowing these can further help better implementation. So you can better strategize making use of the new technology.

5 Fast-Facts About Robotic Process Automation

The following are five (5) fast facts about the trending robotic process automation.

1. RPA Has Three Essential Elements

Robotic Process Automation is automation software. In line with this, it has its three basic elements. In any RPA solution, usually, has a robot or bot, console, and studio.

What are these?

For example, here are its functions:

  • Robot or Bot: the robots who executes the tasks
  • Console: controls the execution of robots
  • Studio: is where the robots are built and deployed

2. RPA Is Different From Macro

Macro also supports automation but is usually limited to MS Excel and Windows-Only applications. However, RPA can work with any platform. Not to mention, even with multiple platforms.

This is why RPA boosted its prominence over the years. Because RPA has better scalability and ease of use, unlike macros. Moreover, bots can be implemented on multiple platforms without compromising any on an existing IT landscape.

3. To Get The Best Of RPA, Know Its Best Tools To Date

When you search for RPA tools, you will mostly see three common platforms. Namely, UiPath, Automation Anywhere, and Blue Prism. 

Today, these tools are known as the ‘big players of RPA’. They also provide free community editions. So in case you want to test the waters between the following tools, you can have it for FREE.

4. Four Main Reasons Why People Turn To RPA

There are generally four main reasons why RPA is a hit.

For example, RPA can:

  • Lowers human error rate on tasks
  • Boosts employee productivity
  • Improves products and services
  • Cost-efficient

5. RPA Relies On What Is On Program. It Cannot Do Magic.

A common misconception about RPA is that it can do the rest of the job by itself. But the contrary is true.

Although RPA has machine learning and AI capabilities, it needs to be programmed properly to function effectively. So it cannot resolve errors by itself. Maybe as technology will advance in the future, it can do some ‘magic’. 

At all costs, proper configuration is the key to effective RPA implementation. 

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6 Facts That You May Not Know About Robotic Process Automation RPA

How well do you know robotic process automation RPA? 

RPA Today

As you may probably know, RPA makes the use of bots through software in automating tasks. Tasks that usually fall for automation are commonly manual, rule-based, and repetitive. 

Because of its mundane nature, it takes away a massive amount of employee productivity. Not to mention how redundancy of work most often causes more human errors. This is why automation presents a real deal in today’s fast-paced economy.

But, how well do you know robotic process automation or RPA?

In this post, we will be outlining 6 facts about RPA that you may not have heard about. Knowing these unheard facts can help you better implement RPA for your organization. Perhaps unfulfilled expectations can cause you to lose heart with RPA. So a realistic viewpoint of its capabilities is a good-to-go starter for realistic successes.

6 Unheard Facts About Robotic Process Automation RPA

So here are six (6) unheard facts about robotic process automation that you should know.

1. Robots Learn, They Don’t Do Magic

As far as science fiction makes you perceive, RPA is not an optimum self-learner. Rather, it performs according to how it is programmed. 

No matter how robots can get so smart, they cannot fully replace the cognitive and strategic thinking a human brain can have. So they cannot self-learn and resolve faults on their own. 

Proper configuration certainly is a key point in enabling success. Although RPA has machine learning and AI, it is still dependent on how it is programmed.

2. RPA Usually Follow Through Four (4) Common Stages

RPA robots may do different tasks and they may be on different platforms. But most commonly the automation process usually follows through a four-stage process. Moreover, this applies regardless of the task’s nature and system behavior.

For example, the four stages are:

  • Data input
  • Data validation
  • Core process
  • Output 

3. RPA Does Not Need Programming Skills

Yes, you have heard it right. RPA excuses you from the complexity of programming. Probably this is one of the most saleable factors of RPA. 

So if you are a beginner at using automation with RPA, you need not be a tech guru, at least. Because mostly, RPA platforms today come with a drag-and-drop feature. This simplified interface makes configuration easy and manageable, for instance.

4. RPA Follows The SDLC Methodology

SDLC stands for system development life-cycle. This means that prior to any configuration, completing both proper system assessment and process analysis is vital.

On the other hand, in most cases, an agile approach helps RPA implementation expedite. Since RPA can be dynamic by nature.

5. RPA Needs A Change Management

Change management is vital in communicating any impact and changes that RPA brings. As a result, stakeholder’s trust can be maintained. Thus, encourage good communication especially in a digital culture initiative.

6. RPA Takes More Than Just Automation

Aside from automation, RPA can help organizations make way for re-defining their processes. So it can help them re-evaluate processes and make them more efficient as possible.