Eagle Insight

                   Automation Analytics  A well-publicized PwC report projects that by 2030, “smart automation” technologies could contribute up to 14% of global GDP (around 10% to UK GDP). It also believes that the longterm net effect of automation on the economy will be positive. Thus, despite the above uncomplimentary words from a scientist whose work still drives our modern digital economy, the verdict is in – technologies like Robotic Process Automation (RPA) are here to stay.  The benefits of RPA are already well-known: streamlined processes, improved speed, productivity and efficiency, fewer errors, and of course – cost savings. However, what is not wellknown are the benefits of RPA Analytics– not only to improve RPA itself, but also to boost the organization's overall business outcomes for more information visit our website https://eagleinsight.io/

                                                Hyper Automation   • It’s the extension of legacy business process automation beyond the confines of individual processes. By marrying AI tools with RPA, hyper automation enables automation for virtually any repetitive task executed by business users.  • As business operations continue to shift online due to the current remote work-from-home scenario, the importance and speed of implementation of automation strategies have been largely accelerated. Hyper-automation is defined as the integration of several different digital tools and technologies in order to enable the automation of virtual tasks associated with business processes.  • Hyper-automation functionality can even discover business processes and automatically generate bots to deal with them. Hyper-automation technology combines a wi...

         Robotic Process Automation Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans actions interacting with digital systems and software. Robotic process automation reduces labour costs as well as prevents human error. In one example, a large consumer and commercial bank used 85 software bots to run 13 processes that handled 1.5 million requests in a year.  AI gets more intelligent over time by assessing the data that RPA can provide.     10 Example of Robotic Process Automation   1.  Call center  operations 2.  Data migration/entry and forms processing 3.  Claims administration  4.  Onboarding employees  5.  Help desk  6.  Support the sales process  7.  Scheduling systems 8.  Credit card applications  9.  Expense management  10.  Pulling data from multiple websites...