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6 reasons why Robotic Process Automation (RPA) projects fail and how to avoid them
Robotic Process Automation (RPA) is a hot topic in the automation and AI fields. Essentially, RPA is a software tool that achieves automation by mimicking human actions that are rule-based and repetitive. RPA uses a robot or bot to automate processes. Today, there are many RPA vendors in the industry, with the major players being Automation Anywhere (AA), Blue Prism, and UiPath. If you are a small business or student exploring the RPA field, most of the vendors also provide a community version of their tools that is free to use.
RPA implementation follows the system development life-cycle (SDLC). This article details the possible failures in an RPA project that could happen in the SDLC stages and how to avoid them.
RPA project SDLC phases1. Planning: Choosing the right process to automate
2. Analysis: The requirements battle
3. Design: How to avoid creating a bad solution design
4. Development: Recognizing environment differences ahead
5. Testing: Test scenarios that are often missed out in RPA projects
6. Hyper-care: What if the robot malfunctions too often?
