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The Lifecycle of Enterprise Robotic Process Automation
Enterprise Robotic Process Automation (RPA) is transforming how
businesses operate by automating repetitive and rule-based tasks.
RPA technology uses software robots, or "bots," to mimic human
actions and interact with systems, applications, and data.
Research/Planning Phase:
 Process discovery tools are essential in Robotic Process
Automation, identifying bottlenecks and automation
opportunities.
 They collect data to understand workflows in different areas,
offering visibility into user interactions.
 Customizing processes aligns departmental and enterprise
needs, optimizing costs and boosting revenue, providing a
competitive edge in RPA implementation.
Analysis Phase
 In the analysis phase, prioritize key performance indicators
(KPIs) and business outcomes as the guiding forces.
 Develop a roadmap to identify inefficient processes for
reengineering and automation, addressing gaps between
legacy and newer systems.
 Systematic analysis is vital for strategic alignment and
successful Robotic Process Automation implementation.
Design Phase
 During the design phase, automated bots attempt to mimic
human behavior by capturing data and interacting with
applications.
 They efficiently respond to events, thanks to machine learning
(ML) tools. ML enables data extraction, interpretation, and
analysis, automating processes and reducing implementation
time.
 This allows enterprises to scale up automation and boost
efficiency.
Build Phase
 RPA combines technologies like optical character recognition
(OCR), user experience, decision modeling, and analytics to
enhance collaboration across business functions.
 While prioritizing broad initiatives is tempting, considering
system-wide implications is crucial. RPA's advantage lies in
integrating complementary technologies to align with system
architecture and achieve current and future KPIs.
Measure Phase
 Efficient and cost-effective Robotic Process Automation
implementation is measured by KPIs and business goals.
Increased automation indicates effective process utilization.
 Initially, low-priority workflows gain significance as newly
automated areas benefit from their data.
 Expanding RPA internally demonstrates proof of concept with
improved efficiencies and cost savings.
Sustain
 Enterprise Robotic Process Automation enables ongoing
improvement by identifying automation opportunities based on
user needs.
 Evolving processes and user interactions can be incorporated
into automation for enhanced efficiency.
 Employee education and establishing a managing committee
or center of excellence ensure long-term effectiveness,
preventing gaps and achieving business goals.

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The Lifecycle of Enterprise Robotic Process Automation

  • 1. info@numantratech.com NuMantra Technologies Mob +1267980-7295 2832 DeKalb Pike #1021 East Norriton PA 19401 https://numantratech.com/ The Lifecycle of Enterprise Robotic Process Automation
  • 2. Enterprise Robotic Process Automation (RPA) is transforming how businesses operate by automating repetitive and rule-based tasks. RPA technology uses software robots, or "bots," to mimic human actions and interact with systems, applications, and data. Research/Planning Phase:  Process discovery tools are essential in Robotic Process Automation, identifying bottlenecks and automation opportunities.  They collect data to understand workflows in different areas, offering visibility into user interactions.  Customizing processes aligns departmental and enterprise needs, optimizing costs and boosting revenue, providing a competitive edge in RPA implementation. Analysis Phase  In the analysis phase, prioritize key performance indicators (KPIs) and business outcomes as the guiding forces.  Develop a roadmap to identify inefficient processes for reengineering and automation, addressing gaps between legacy and newer systems.  Systematic analysis is vital for strategic alignment and successful Robotic Process Automation implementation. Design Phase  During the design phase, automated bots attempt to mimic human behavior by capturing data and interacting with applications.  They efficiently respond to events, thanks to machine learning (ML) tools. ML enables data extraction, interpretation, and analysis, automating processes and reducing implementation time.  This allows enterprises to scale up automation and boost efficiency.
  • 3. Build Phase  RPA combines technologies like optical character recognition (OCR), user experience, decision modeling, and analytics to enhance collaboration across business functions.  While prioritizing broad initiatives is tempting, considering system-wide implications is crucial. RPA's advantage lies in integrating complementary technologies to align with system architecture and achieve current and future KPIs. Measure Phase  Efficient and cost-effective Robotic Process Automation implementation is measured by KPIs and business goals. Increased automation indicates effective process utilization.  Initially, low-priority workflows gain significance as newly automated areas benefit from their data.  Expanding RPA internally demonstrates proof of concept with improved efficiencies and cost savings. Sustain  Enterprise Robotic Process Automation enables ongoing improvement by identifying automation opportunities based on user needs.  Evolving processes and user interactions can be incorporated into automation for enhanced efficiency.  Employee education and establishing a managing committee or center of excellence ensure long-term effectiveness, preventing gaps and achieving business goals.