The Truth About RPA Solutions 

In 2020, Robotic Process Automation (RPA) generated more than $1.5 billion in revenue (Gartner). By the end of 2021, its revenue is estimated to climb by 19.5%, surpassing $1.8 billion.  

In the next ten years? 

The figure is estimated to climb tenfold, surpassing $20 billion. 

How come? 

Because, as Gartner expects, more than 90% of the world’s largest corporations will adopt RPA solutions in some form, setting a precedent for others in the coming decade. Adoption will increase to keep up with the competition. 

And the competition is fierce indeed.  

UiPath, for example, saved more than 300,000 hours by adopting business intelligence and RPA to automate processes and work efficiently. Consequently, its workforce was more productive than its peers’.  

In fact, the competitive edge imparted by it goes beyond high productivity. 

Take a look.  

The benefits of RPA services and solutions


High productivity: Broadly speaking, enterprises engage in two kinds of tasks — simple, repetitive tasks and complex, creative tasks. Only one of the two creates real value. RPA solutions automate the simple tasks, allowing enterprises to focus more on the creative, business-critical ones.     

Risk management: RPA solutions can remove errors, like incorrect formatting and duplication. They are also ‘wiser’ since their insights, unlike human insights, are broad. In total, the use of its solutions leads to fewer mistakes. Enterprises, in other words, better manage risk. 

Cost-effective: When enterprises take fewer risks, they make fewer losses. Let’s not forget that, unlike us, RPA solutions can deliver 24×7.  

Scalability: RPA solutions do not just deliver 24×7, but their performance is consistent throughout. What that means is enterprises can deploy several RPA “bots” at minimal cost and, thanks to their consistency, maximize scale and performance.  

All these benefits lead to significant performance gains and hence accelerate growth and revenue. 

That said, if you think you can save 300,000 hours by simply implementing its solutions, you are wrong. 

You need to get something else right first. And that’s data governance. 

Why data governance solutions are critical to RPA’s success


If RPA dictates what happens to data, data governance dictates how the action happens to it. 

RPA is execution. Data governance is planning. And poor plans lead to poor results, no matter how flawlessly they are executed.   

Alternatively, if RPA is execution, data governance is guidance. 

That is because the data management solution represents an extensive set of data practices that ensure that the data moving in an enterprise, fed to solutions like RPA, is always top quality. 

For this reason, data governance represents the most critical of due diligence 

Since RPA may enable enterprises to increase productivity, better manage risk, cut costs, and scale faster, yet, as alluded to above, bad data leads to bad decisions, no matter how fast and efficiently they are made. 

The point is, before investing in RPA solutions, enterprises must ensure that they pre-establish a framework in which the solutions can deliver to their full potential. That is to say, before investing in it, enterprises must invest in data governance solutions. 

And what is full potential, even? What are your unique needs and objectives? The answers to those questions are what inform the construction of that framework. 

How could, then, the solution precede the strategy? 

To use RPA without data governance is to buy something without knowing what you will use it for. Without knowing what it could be used for. 

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