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Handling Data and Security in RPA

While Robotic Process Automation (RPA) in the Philippines has been progressing at a considerably faster pace than in most other parts of Southeast Asia, data compliance and security risk management remain major areas of concern.

Whether it’s deciding on which software to use, what principles to adhere to or how best to train employees to uphold these principles within the context of RPA, companies are constantly looking for the best solutions to their data compliance and security risk management challenges.

We spoke to Dan Victorre M Ruiz, Robotic Process Automation Program Manager at Merck Business Solutions Asia, for his professional insights on best practices, common challenges and market projections for data and security in the Philippines’ RPA market.

Best Practices for RPA

RPA continues to gain traction in the Philippines, with a growing number of companies either consisting, starting, or scaling up RPA adoption.

Ahead of next year's RPA Philippines summit, we put together a report on the best practices in RPA, including:

  • re-engineering processes
  • ensuring compatability with legacy systems
  • decentralising RPA
  • relevant employee training to prepare for RPA adoption
  • different RPA operating models

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Scaling up and shipping out: How can RPA progress?

The Philippines is no stranger to robotic process automation (RPA) but when it comes to further innovation and scaling up, how does it fare?

We spoke to Vineet Mehra, General Manager, Product Head – Order to Cash Product from Maersk on the key challenges companies face in taking RPA to the next level, crucial considerations for scaling up, and which industry has the greatest potential for RPA-based solutions.

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How do we go from RPA to Cognitive?

This is a question on a lot of industries’ minds as they get to grips with RPA and look to the next phase of intelligent automation. What does cognitive mean and how should it be approached? What questions need to be asked and what steps should we take?

In this article we chat with Tilak Banerjee, Head of Shared Services, Conduent India and leading IA expert, on going cognitive. Tilak shares his experiences on what teams should do to prepare for cognitive, what questions they should ask and next steps to take. 

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Why improving process before automation is paramount for RPA success

If the goal is to redesign or improve a process, RPA alone can’t fix it.  

To create a successful automation strategy you need to go back to level zero to contemplate overall process improvement. In this content we explore why improving your processes before RPA implementation is paramount to its success. What strategies other leading practitioners have used and why RPA should be combined with desired changes in the business process. This is a major pitfall to avoid in the automation journey and time it was rectified.

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Why Your RPA Bots Need OCR Integration?

OCR has been labeled as RPA’s sidekick in the fight against unstructured data because of how it can help RPA bots make sense of processes that still rely on physical inputs. OCR technology can translate data from scanned in documents into a format that the bots can understand.  In this listicle we explore five reasons why RPA needs OCR integration but also three hurdles that the technology needs to overcome.