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Process Mining and RPA: Meet the ultimate automation power couple

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There’s never been a greater need for automation Are you looking for the perfect way to unlock hidden value from your business operations? Look no further than Process Mining and Robotic Process Automation (RPA). When these two powerful software tools are deployed in tandem, organizations can realize millions of dollars in savings and unprecedented operational efficiency. In this blog post, we'll ...

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There’s never been a greater need for automation

Are you looking for the perfect way to unlock hidden value from your business operations? Look no further than Process Mining and Robotic Process Automation (RPA). When these two powerful software tools are deployed in tandem, organizations can realize millions of dollars in savings and unprecedented operational efficiency. In this blog post, we'll explore how the two work together, what kind of results organizations are seeing, and how you can get started fast. Let's dive in!

Process mining and RPA

The current climate of soaring inflation and labor shortages presents a unique opportunity for automation in the enterprise to demonstrate its value. Robotic process automation (RPA) can be a powerful tool to increase productivity and efficiency while freeing up talented employees to do the work they enjoy. However, the reality is that many RPA projects fail, with estimates of between 30 and 50 percent falling short of their goals.

If RPA alone is not enough to provide the enterprise-wide optimization necessary for businesses to stay competitive, then what is the solution? The answer is to use RPA in combination with Process Mining. This combination can provide the comprehensive, efficient, and effective optimization that organizations need to succeed. 

The transformational power of RPA

The rapid adoption of Robotic Process Automation (RPA) in 2021 is testament to its compelling value proposition. Recently, Deloitte reported that 78% of organizations are currently implementing RPA, with a further 16% planning to do so in the coming years, and only 6% saying they have no plans to implement it.  

RPA is ideal for taking on mundane and repetitive tasks, freeing up people to do more meaningful and enjoyable work. It is fast and affordable to implement, and requires no back-end integration work as it operates at the user interface level. This makes RPA a powerful tool for improving business processes, reducing errors, engaging employees, and providing a better customer experience. It also comes with the added benefit of reduced costs, increased revenue, and boosted efficiency.

Real-world results from RPA 

It's clear that the way RPA is implemented and deployed is crucial to success. For example, a single-departmental approach to RPA implementation may result in a bot that works well, but doesn't actually improve lead times. For RPA to deliver expected ROI, the process of deploying the technology must be part of a business-led strategy which takes the time to analyze processes and identify where automation can be most effective.

This strategy should also take into account how the solutions can scale up and be maintained over time. When these steps are taken, organizations can realize the full potential of RPA. 

It’s clear that the way RPA is implemented and deployed is crucial to success. Organizations need to approach RPA holistically, taking into account the organization’s overall objectives and examining the end-to-end process to identify opportunities for automation and optimization.

It’s not just about plugging in a technology solution. It’s about understanding how the process works, refining it, and then configuring the bots to meet the business’s needs. This requires a full-stack approach, from process analysis to bot development and deployment. It also involves strong collaboration between IT and business teams, and a shared understanding of the technology and its potential. 

Ways RPA projects can fail 

This simple example highlights several ways RPA implementations can fail: 

  • Only one part of the process was addressed

  • Automation was applied to a bad process

  • KPIs weren’t clear

  • Ad-hoc tool use made automation unsustainable

  • Ongoing governance was lacking 

Five requirements for successful RPA 

What’s missing from the scenario outlined above are five elements that could have made the use of RPA successful—both in the short and long term: 

  1. End-to-end visibility

  2. Insight

  3. Modeling of existing processes and accurate simulation

  4. ROI calculations

  5. Continuous monitoring 

Until recently, Business Process Modeling (BPM) has been an incredibly laborious and time-consuming endeavor. It often took months of manual analysis and mapping to determine where improvements could be made within an organization’s processes. However, that’s all changed with the introduction of Process Mining.

This innovative technology is revolutionizing how companies uncover the previously hidden inefficiencies that were holding them back—and it’s already unlocking billions of dollars of value worldwide. So, if you’re looking for ways to quickly increase the efficiency of your business operations, Process Mining could be the perfect solution.

source: https://www.ibm.com/resources/automate/get-started-with-ibm-process-mining-and-ibm-rpa 

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Bring visibility, governance and scalability to RPA with Process Mining

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Process Mining and RPA are two powerful tools that can help organizations increase efficiency and reduce costs. When used together, they can provide unprecedented visibility and insight into organizational processes, allowing for greater scalability of RPA implementations and unlocking hidden value.

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With Process Mining, organizations can identify inefficiencies in their processes and use RPA to automate tasks and optimize operations. CFOs recognize the potential of this combination and view investments in Process Mining as a key factor in maximizing returns from RPA. 

In fact, a 2021 Gartner survey found that “CFOs see investment in process mining as key to unlocking returns from RPA.

Capabilities of a value-rich Process Mining solution 

The potential of the returns will depend on the features of the selected Process Mining solution; the most profitable outcome will come from a solution that can: 

  • Automatically capture all activity 
  • Identify where bottlenecks are occurring and diagnose their root causes.  
  • Provide intelligent recommendations for tackling process inefficiencies.  
  • Create a precise digital twin of the organization (DTO). 
  • Calculate granular ROI. 
  • Automatically create software bots 

Introducing IBM Process Mining and IBM RPA

Are you looking for a comprehensive Process Mining solution? IBM Process Mining is the perfect fit! This powerful tool integrates with IBM RPA to make up one of the foundational components of IBM Intelligent Automation. Get to know more about IBM Intelligent Automation here. 

Have you ever wondered how Process Mining can help you maximize the value of RPA? In this blog post, we’ll explore the ways in which Process Mining can be used to identify where and how RPA can bring the greatest benefits. Read on to see how Process Mining can help you get the most out of your RPA investments! 

First, it’s useful to recap the many benefits of using RPA as a standalone solution. When it’s used to automate repetitive, mundane tasks like data entry and batch file re-naming, RPA can: 

  • Deliver value fast 
  • Eliminate human error 
  • Increase productivity 
  • Boost employee engagement 
  • Beat labor shortages

When RPA is used together with Process Mining, these benefits increase exponentially. The two solutions used together enable the organization to: 

Scale RPA across the organization

Process Mining is revolutionizing the way businesses use Robotic Process Automation (RPA). By analyzing data from across the entire organization, Process Mining can identify tasks that are suitable for automation. This means that RPA can be utilized to its full strategic potential, allowing businesses to maximize the efficiency of their operations. 

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source: https://www.ibm.com/resources/automate/process-mining-and-rpa-automation-power-couple

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