Digital Operations

Improving efficiency is a key concern for executives, and a goal for many technology initiatives and implementations. Modern day Digital Enterprises deploy the digital technology and practices to gain efficiencies in the core operations such as HR, Supply Chain, Sales & Marketing, Customer Relationship Management, Product Development and so on. While Analytics and Automation has been the thrust of most modern enterprise to gain efficiency, HyperAutomation is the next evolution considered essential to be a High Performing Digital Enterprise.

HyperAutomation is the application of advanced technologies like RPA, Artificial Intelligence, machine learning (ML) and Process Mining to augment workers and automate processes in ways that are significantly more impactful than traditional automation capabilities. It’s the continuous integration of automation to business operations. This is the next evolution in the journey of Digital Enterprise where organizations push beyond the typical benefits of Automation.

Key components of HyperAutomation :

  1. RPA
  2. Intelligent Business Process Management
  3. Artificial Intelligence
  4. Advanced Analytics

RPA is an innovative technology enabling business to automate the processes that have never been considered before for automation within extremely short period of time while having minimum investment cost and low risk. It is a proven operational strategy that is now being applied by many high-performing organizations with an aim to build an agile back-office with powerful digital workforce supported by Machine Learning and AI. From onboarding to customer service to routine paper processing, these tools have proven to drive great back-office process efficiencies.

However, choosing the right processes to automate is the first step towards ensuring success. In fact, one of the biggest pitfalls when it comes to RPA is when the organization selects the wrong process to automate. Artificial Intelligence enhances the service process with Machine Learning, Intelligent Optical Character recognition, Natural Language Processing. AI digitizes otherwise time-consuming routine processes, like answering basic customer questions or processing a return. Because artificially intelligent machines can do things like recognize faces and voices, machines are capable of performing many tasks. In order to achieve hyper automation, you must strategically employ AI.

Applying these disruptive technologies and using Data as an asset approach, many modern digital enterprises deploy Advanced Analytics to gain deep insights from Customer, Sales and Operational Data to gain efficiency in their processes, rapidly adapt to changes and perform at high level. . Organizations must adapt and change the way they used to operate in order to maintain the competitive edge and accelerate growth. These disruptive technologies and practices are changing the business landscape. Satwic being part of the success of many successful automation initiatives can guide your enterprise for successful selection and implementation of automation.

Founded in 2000, Satwic has expanded specialization from  Data management, Analytics to AI/ML, RPA, Cloud and Applications Development serving vast number of Public and Private enterprises.

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