The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems

The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems

Book Description
While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to  automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. 
RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave.
What You'll Learn
  • Develop the right strategy and plan
  • Deal with resistance and fears from employees
  • Take an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costs
  • Evaluate an RPA system
Who This Book Is For 
IT specialists and managers at mid-to-large companies


Chapter 1: RPA Foundations
Chapter 2: RPA Skills
Chapter 3: Process Methodologies
Chapter 4: Planning
Chapter 5: RPA Vendor Evaluation
Chapter 6: Center of Excellence (CoE)
Chapter 7: Bot Development
Chapter 8: Deployment and Monitoring
Chapter 9: Data Preparation
Chapter 10: RPA Vendors
Chapter 11: Open Source RPA
Chapter 12: Process Mining
Chapter 13: Future of RPA

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