RPA Guide:
How to Prepare Data to Avoid Pitfalls

Read our guide created for decision makers and leaders responsible for making RPA a success.

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Michal Rosik
Chief Product Officer

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RPA Guide: How to Prepare Data to Avoid Pitfalls

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.” 

Thanks to this guide, you'll discover: 

  • how to set up data for RPA success, 
  • what story does your data tell, 
  • primary ways data impacts RPA deployments, 
  • the road to RPA success with Process Mining. 

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