Robotic Process Automation (RPA) Analytics with Eagle Insight
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Ongoing, First published Apr 27, 2022
Businesses are transforming, there's no stopping that. Driving this transformation are robotics and automation by helping make manual operations more skill-centric, value-based, and efficient. The COVID-19 pandemic has only fast-tracked the adoption of these inevitable technologies.

Robotic Process Automation (RPA) aims to take over the dreary, mundane tasks that consume a significant part of an average employee's workday. By shipping off these tasks to the RPA platforms, employers enable employees to focus on value creation and increase productivity.

In RPA, efficiency is not compromised, tiredness is not a factor, and accuracy is unwavering. But as the technology is still taking baby steps, there is room for improvement. This is where data and analytics come in.

More than ever before, the ability to collect, organize, manage, and analyse data has become paramount. But with the rapid rise of automation, most companies are behind the eight ball in learning from automation-related data. According to a Harvard Business Review report, more than 70% of employees are inundated with data that is not relevant to them, and four in five data analysts waste time trying to discover and assimilate relevant data.

 

How Can Post Robotic Process Automation Analytics Supercharge Your Organisation's Strategy and Planning?

 

A sturdy RPA analytics engine allows your business to achieve transformative outcomes by actively quantifying your automation benefits and demonstrating the areas of weakness. When automation is supported by intelligent analytics, the organisation can maximise the benefits of the new technology and optimise the entire automated process.

 

Post automation analytics can unlock efficiency and enable quicker and smarter decision making, helping uncover new insights around your organisation's automation ecosystem and how to enable it to solve more meaningful problems.
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