RPA

About RPA

Robotic process automation is a form of business process automation technology based on metaphorical software robots or on artificial intelligence /digital workers. It is sometimes referred to as software robotics.

Who Uses

Industries Where RPA Is Used

Financial Services

Lot of mundane tasks performed in the Finance industry like account opening and closing, credit card fraud detection can be powerfully automated using RPA bots. If you already work in the Finance domain, consider taking up this RPA Training and automate the processes in your project using powerful RPA bots.

Accounting

RPA bots can be used in automating tasks involved in Account Planning, Auditing and Transaction Reporting.

Human Resource

RPA Bots can be helpful in monitoring employee timesheet processes and leave management processes where a lot of HR man-hours are wasted. If you are already a HR, you can apply RPA in your practice after taking up the RPA training and enjoy great growth in your Career.

Healthcare

RPA bots can be used in the healthcare industry for maintaining patient records and their claims.

Supply Chain Management

RPA bots can be used in procuring, order management and shipment tracking.

Customer Service

RPA bots can be used for automating contact center tasks like uploading the customer documents, scanning the documents, verifying and approving the customer documents.

SCOPE

Though most of the process in the IT industry is matured, there are still many applications that do not talk to each other. A lot of repetitive tasks are manually performed for which millions of dollars is spent by customers. RPA has the ability to automate most of these mundane tasks that are manually performed today. RPA has powerful integrations and automation abilities that can mimic human interactions with web applications and other desktop applications like Microsoft Excel. Eliminating Software Engineers to perform mundane tasks helps them to shift their time and energy on important things where emotional intelligence, logical reasoning and out of the box thinking are required.

Eligibility

Qualifications often include a bachelor's or master's degree in computer science, statistics, engineering, or a closely related field.