Read our guide created for decision makers and leaders responsible for making RPA a success.
An estimate says that 30-50% of all first time RPA initiatives don’t succeed. Why such a high failure rate?
For starters, data. Data is messy, sensitive, and scattered.
Forrester reports that 60% of decision makers at organizations adopting automation technologies like RPA cite, “data quality as either challenging or very challenging — it’s their top challenge when trying to deliver AI capabilities.”
