Buddha is a dedicated and committed QA resource. He has completed the given tasks ontime with good quality. He has a thirst for skills and knowledge. He always challenges himself to perform tasks to the best possible standard. He also started contributing to automation failure analysis and fixing them.
What is HyperAutomation
HyperAutomation is the end-to-end automation accomplished by harnessing the power of multiple technologies. Robotic Process Automation, intelligent business process management suites, integration platform as a service platforms and decisions management systems combine to enable HyperAutomation ambitions.
The Emerging Significance of HyperAutomation
What makes HyperAutomation one of Gartner’s top technology trend of 2020?
Many organizations have moved beyond automating simple, well-defined and very repetitive tasks. Increasingly, complex decision-driven processes have become difficult to automate on RPA alone, leading organizations to pursue complementary technologies to augment their initiatives. Therefore, investing in one offering, HyperAutomation, that combines all elements needed for modern business, makes sense.
It is estimated by Gartner that:
- Within three years, as many as 9 out of 10 small pure-play RPA vendors will exit the market, merge, be acquired or somehow morph.
- By 2022, 80% of RPA-centric automation implementations will derive their value from complementary technologies.
- By 2024, organizations will lower operational costs by 30% via HyperAutomation services & solutions.
Benefits of HyperAutomation
Zero Coding required
Consistent products and services
More efficient products and services
Fewer errors in the supply chain
More effective use of data throughout the business
Increasing business agility
Improved Time to market
Easy to Maintain
Effectively Leveraging HyperAutomation
Companies need to take a holistic approach when implementing HyperAutomation.
How AAPNA meets HyperAutomation
As stated, we believe the best way to achieve HyperAutomation is via an end-to-end agile approach that aims to rapidly identify, redesign and automate business processes using the below technologies:
iBPMS
Intelligent Business Process Management Suites expand your process architecture’s toolbox to collaboratively redesign processes to achieve business goals.
Process Mining:
Process Mining analyzes inefficiencies and automation opportunities for your processes. Also referred to as process discovery or e-process mining,
Artificial Intelligence
AI extends, expands and augments automation opportunities with machine learning (ML), natural language processing (NLP), optical character recognition (OCR), and more.
Ingestion Engine
Fetch and use data to enable process mining, decision modelling, and business process management.
Decision Modelling
Perceive, organize, and manage the business logic behind a business decision
iPaaS
Integration platform as a service is a set of automated tools for connecting software applications that are deployed in different environments
Analytics
To measure and evaluate the impact of HyperAutomation on your business.
UX
To enable effective interaction between automation and the user experience
AAPNA’s HyperAutomation Solutions
AAPNA is one of the earliest pure HyperAutomation companies out there. Our key offering is that we are experts in the entire suite of technologies above that coalesce to drive HyperAutomation solutions, and we have valuable experience implementing these for the largest, one of the most robust industry in the world: US Mortgage.
RPA
We’re experts in UI Path, which is commonly regarded as the best RPA tool out there.
Decisions
Decisions is the only rule driven iBPM that requires zero coding. At the heart of it are process designers that enable both IT and business to collaborate around the same visual – No Code – and design processes & technologies.
Celonis
Celonis is the market leader in AI-enhanced Process Mining and Process Excellence bringing together Process Mining, AI, ML and automation to help companies remove friction from critical business processes & improve execution.