G SQUARE TECHSYSTEMS PVT LTD

Digital Process Automation

Digital Process Automation (DPA) is a type of automation that uses digital technology to automate business processes. It involves the use of software tools and technologies to streamline and automate tasks and processes, reducing the need for manual intervention.

DPA is an umbrella term that covers various types of automation, such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Business Process Management (BPM), and other technologies. These technologies can work together to create an end-to-end automation solution that can help organizations improve efficiency, reduce errors, and increase productivity

~ Digital process automation Services ~

What we can do in Digital process automation for you?

RPA Migration & RPA development

RPA Migration refers to the process of transferring an existing robotic process automation (RPA) system from one platform or environment to another. It can involve moving from an older version of an RPA tool to a newer one, switching to a different RPA vendor or platform, or moving from an on-premise solution to a cloud-based one. RPA migration can help organizations improve their RPA system's performance, reduce costs, and increase efficiency by taking advantage of newer and more advanced technologies.

How we help with successful migration without any disruption to the organization's
processes?

  • Assessing the current RPA system: This involves understanding the current RPA system's functionality, architecture, and dependencies.
  • Identifying the target platform: This involves selecting the platform to which the RPA system will be migrated. The target platform should meet the organization's needs and support the existing RPA workflows.
  • Planning the migration: This involves creating a migration plan that outlines the steps involved, including data migration, application integration, testing, and training.
  • Data migration: This involves transferring the data from the old RPA system to the new one, ensuring that the data is accurate and complete.
  • Application integration: This involves integrating the RPA system with other applications and systems used by the organization.
  • Testing: This involves testing the migrated RPA system to ensure that it works as expected
    and does not disrupt the organization's processes.

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