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


The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems
by: Tom Taulli
Print Length 页数: 344 pages
Publisher finelybook 出版社: Apress; 1st ed. edition (March 31,2020)
Language 语言: English
ISBN-10: 1484257286
ISBN-13: 9781484257289


Book Description
By finelybook

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

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