Using RPA and process mining for digital transformation ensures efficiency and increased productivity.

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SwissCognitive, AI, Artificial Intelligence, Bots, CDO, CIO, CI, Cognitive Computing, Deep Learning, IoT, Machine Learning, NLP, Robot, Virtual reality, learningNew and transformative technologies are taking over business ecosystems. Whatever be the goals of the organization, digital transformation is the key to success. It is the only way to respond to disruptive business and work systems.

Currently, implementing technology in daily business operations is not a choice but a crucial strategy to gain an edge in the competitive market. Digital transformation enables better collaboration with machines and organizations, more personalized ways of customer engagement, higher employee productivity and engagement, and accurate insights from data that will ensure business growth.

The trend to digitalization and implementing all digital platforms, while streamlining and refining business activities allows organizations to transform their operating models and increase business outcomes. As a rising technology, robotic process automation (RPA) can support digital transformation. Several businesses are looking for ways to bring this change to respond to pressures from customers and competitors. But focusing on one aspect only, as the RPA, will not be enough to understand the bigger picture and will only lead to chaotic processes and strategies, failing to gain the expected ROI. Businesses should also focus on process mining to create the best version of the company and increase efficiency.

So, How Do RPA and Process Mining Complement Digital Transformation?

Across industries, such as finance, insurance, legal, manufacturing, and utilities, RPA is being implemented to automate laborious, time-consuming, and high volume back-office activities. For tasks such as order and claim processing, human resources management, data transfer and mitigation, and invoicing, all these activities are automatically completed using RPA. […]

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