The robotics quotient is a measure that helps you decide not only whether non-human coworkers can be fruitfully co-opted into attaining your financial and managerial objectives, but also what you should be doing in order to maximise the likelihood of people and robots successfully working together.
In order to increase its economic efficiency (i.e., cutting down costs, while boosting speed and accuracy), the main target of RPA providers is to facilitate the two most costly stages of RPA deployment, design & development, and maintenance.
In 2019, RPA is no longer the privilege of large enterprises. Multi-national corporations, as well as small and medium businesses that wish to enhance their market competitivity, must be aware of the ways to leverage the potential of state-of-the-art technology for their digital automation endeavors.
RPA for cloud applications can grow faster than on-premise implementations because the Cloud sets aside the need for prior testing: the software robot can be directly used for doing whatever it’s been programmed to do.
If we focus on larger businesses (i.e., with more than 500 employees), the RPA picture is yet more dense, justifying an even brighter outlook: 38% of the economic organisations surveyed had already initiated the activation of RPA programs.