The Role of Robotic Process Automation in Big Data Analytics

The Role of Robotic Process Automation in Big Data Analytics

Without a doubt, we are living in an age when information is always available at our fingertips. Sometimes it seems as though we are practically drowning in the data that’s available to us. In fact, according to IBM, there are some 2.5 quintillion bytes of data created every single day, and an estimated 90% of all the data in the world today was created in the last two years alone. And while much of this “Big Data” may seem irrelevant to you, organizations around the world are taking it very seriously. So much so that many are now employing the use of robotic process automation to help harness, analyze and leverage it.

The Role of Robotic Process Automation in Big Data AnalyticsWhat’s the connection? Well, for starters, using robots to automate business processes can simultaneously result in the retrieval of all kinds of information about how those particular processes are carried out. In this sense, robotic process automation is much more informative than even the best human analyst could ever be. In addition to extracting data, robots can also record everything and pull it together to become much more useful to key decision makers, helping to discover bottlenecks and other problems and identify opportunities where processes could be better optimized.

Data analytics can transform an astronomical amount of information into patterns that are logical and easy to understand. In fact, it’s pretty commonplace for advanced analytics to be built right into many of the software products that are on the market today (Google Analytics, anyone?). Robotic process automation solutions are similar in that they are capable of gathering data and reporting analytics for any given time duration.

You can use RPA to gain insight into any of the following (just as a few examples):

  • Total number of completed transactions
  • Average time each transaction (or workflow) takes
  • Number of business and/or application exceptions generated
  • Estimated time until task/process/workflow completion

Ultimately for Big Data to be useful, it must be properly vetted, thoroughly analyzed and appropriately organized into something that makes sense to someone who doesn’t necessarily have a background in advanced analytics. Delivering this valuable end result is another key benefit that robotic process automation has to offer. So now, not only can robotic process automation help create a more efficient, productive work environment, but it can also help identify problems and opportunities for improvement.

Could your business benefit from using robotic process automation, for Big Data or any of the countless other advantages it affords? Why not find out today for free? Download your own copy of Ayehu automation platform and start experiencing for yourself how powerful the right RPA solution can truly be.





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