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Part 2: The driving forces behind intelligent automation

By Jennifer Mastrangelo | February 6, 2020

RPA’s influence on intelligent automation

According to findings from a recent Economist Intelligence Unit study, more than 90 percent of the 502 global executives surveyed said that their organizations are using automation technologies (like RPA), and most are satisfied with the returns they are seeing.

However, not all expectations are being met. Automation alone is no longer enough.

While RPA platforms automate the collection and organization of data into structured formats, intelligent automation harnesses complementary technologies, such as NLG, that extend the reach, impact, and value of analytics in financial reporting.

Data intelligence: Interpreting financial information

Intelligent automation technologies, according to Deloitte, let organizations overhaul business processes – not only achieving higher speed and precision but going beyond RPA to automate predictions and decisions on the basis of structured and unstructured inputs.

In the world of financial reporting, intelligent automation delivers better performance, enhanced efficiency, and accuracy. And per the aforementioned research, combining various applications of artificial intelligence (AI) with robotic process automation appears to be the most powerful factor helping organizations increase revenue.

To extract true intelligence from data, analytics must communicate actionable insights that can be easily understood by a diverse audience. The combination of language analytics, written or spoken, and visual analytics, for example, can empower stakeholders across an entire organization to understand various performance metrics and the factors affecting corporate strategy.

This is part two of a multi-part series. Be sure to read parts one and three as well.

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