Why Cloud Analytics and Remote Monitoring is the Next Trend in Automation?

by June 24, 2020

Cloud Analytics

Enterprises need to be agile, focus on the cloud and remote monitoring for business continuity.

Technology has changed businesses across the world, which face far greater challenges than ever before. For them to survive and thrive, they must make the most of their critical operations.

Remote monitoring and cloud analytics offer a much-needed respite at this juncture with a multitude of powerful, connected devices at a low cost, integrated with enterprise systems associated with customer service models. When it comes to remote monitoring, IoT data integration makes it possible to meet competitive challenges of the digital age.

Here is why Remote Monitoring and Cloud Analytics are the next trends into Automation

  • Combined they both offer an extensive window into the performance of the enterprise’s automation equipment. Cloud analytics lets enterprises to build customized dashboards to view production data, while remote monitoring provides valuable insights into its asset and system health, and helps to revive critical files and configurations for a disaster recovery plan.
  • They both can be designed with innovative new capabilities like auto upgrades of software patches which can be downloaded rather than following up on an in-person service call. Besides, with different product parameters, automation bots pressed into operations can be remotely monitored to achieve optimal performance.


The Advent of the Cloud

Cloud analytics is an important component of business continuity. It focuses on the application of analytic algorithms rather than storing sensitive data in the public or private cloud. It is one of the most preferred technologies involving the deployment of scalable cloud computing to identify hidden insights from the data to extract meaningful information.

As the value of data continues to climb north, more and more businesses focus on this goldmine of information to gain a competitive advantage and improve their business parameters. This is the data stored on the cloud pulled from interconnected IoT devices, giving an opportunity to the cloud to prove itself as an inevitable tool of analytics.

Thus, by leveraging cloud analytics approaches, organizations can closely monitor the pace of their automation even from a remote location to make data-driven decisions around their products and services. However, it must be noted that this cloud is an indispensable platform to showcase an automation proof of concept (POCs) offering through a multi-dimensional software ecosystem apt for AI applications and training machine learning models.

Cloud Analytics is particularly interesting as we move into Intelligent automation for a varied number of reasons-

  • Looking at the amount of data generated around the world, it is a respite that most of it is being created and pooled into IoT endpoints and uploaded into the cloud.
  • Automation orchestrated into the cloud is much easier to deploy as it does not require any maintenance of physical hardware, instead can be remotely monitored.
  • Additionally, enterprises can turn to services on and off as per requirements. This consumption approach promotes a pay-per-use concept and does away with the responsibility of procuring and managing capital infrastructure and reducing data space.
  • Cloud Analytics lets service providers deploy IT resources dynamically. This means enterprises can easily apply automation and scale up as per their strategy formulation. This saves them from the requirement to procure additional IT equipment for their automation projects.
  • Building a hybrid analytics solution is effective for businesses wanting to adopt automation and leverage cloud to test a new analytics project as a POC before committing to on-premise capital investment.


Application of Cloud Analytics


It helps medical fraternity to identify disease patterns and test genomic data to understand the build of genetic diseases and offer a prescriptive cure.


Identifies patterns in speech, images and videos for customised experience delivery and prompt query/complaint resolution.

Product Development

Studies customer buying behaviour to improve product development and expand delivery channels for seamless product availability.


Analyses hybrid cloud infrastructures to optimize IT costs and upgrade application performance.

The uninvited emergence of the Coronavirus pandemic has let businesses from industries as diverse as agriculture, construction and manufacturing to sit up and evaluate its investments on cloud analytics and remote monitoring.

This is part of a bigger industry trend to gain a competitive edge, foster innovation, and facilitate better service to customers. This increasingly means businesses must utilize their mission-critical assets to the greatest extent, walk the automation journey, and make products intelligently connected with each other for data operations.

In a crus, Cloud Analytics and Remote Monitoring is here to stay creating compelling and innovative Automation offerings for the modern-day enterprise.