Modern businesses operate in a data-driven environment. There’s a need to constantly access and process information and content that comes in from customers, suppliers, employees, potential business partners and other stakeholders.
Robotic process automation has become a focus point in the global automation landscape. During 2018, RPA was the fastest-growing enterprise software segment internationally, according to research conducted by Gartner; with total RPA market revenue tipped to reach $1.3 billion in 2019.
This stellar performance is rooted in the many business benefits that RPA offers. However, as companies progress further along their RPA paths, many have come to realise that RPA robots – in their pure, unassisted form – can only work with data that is structured.