According to a Deloitte Global RPA Survey from 2018, 1 out of 4 executives responsible for running transactional operations declared that increasing the level of automation is a top strategic priority. More than half the respondents have already embarked on the automation journey, and by 2020 the number is expected to reach 72%.
The adoption of robotic process automation in the public sector is a step towards digital transformation which is likely to save government working hours, cut down costs, improve productivity, and temper citizens’ dissatisfaction by better addressing their oscillating demands.
To err is human, but your SAP database is the last place where you can afford to err, if you only consider how much time and money you’d have to waste to rectify those errors. The good news is that by growing your SAP applications through RPA you can drastically reduce the amount of error in the back end.
Robotic process automation (RPA) and artificial intelligence (AI) are the two facets of digitisation in the world of business. They both make a significant contribution to improving business processes by rendering them more efficient, and both are integrated by intelligent automation.
A choice between attended and unattended RPA robots can be made based on the time perspective, and on particular contextual features that can act as decision constraints. Attended RPA robots for short term efficiency, and unattended RPA robots for longer term automation strategies - this is just a rough sketch of the big picture.