IOT NEWS

Industrial IoT News

Industrial IoT Home

Datonis IIoT Platform Aims to Prove Ability of Achieving ROI Quickly

By Arti Loftus
November 04, 2019

As the global Industrial IoT (IIoT) market is expected to grow to an estimated $751.3 billion by 2023 according to marketwatch.com, the growth in Cloud Computing and the Internet of Things (IoT) are contributing factors to the increase in deployments and the creation of opportunities to look at new business models for companies. Many major organizations are looking to implement IIoT to improve their manufacturing process, increase optimization of operational efficiencies, enable automation, improve business processes and develop business strategies for future business growth.

Like IoT, the Industrial IoT is comprised of numerous vertical industries, applications and use cases, while making available an abundance of opportunities for smart industry and intelligent manufacturing, automation, optimization, industrial control and asset performance management. With manufacturing being the largest industry in the IIoT market, most deployments remain focused on operational efficiency and cost.

The key to IIoT is data. Industrial environments can be highly involved with data systems and other data sources, such as edge machines, sitting in silos; it’s a challenge to integrate them with the IIoT as that would drastically hike up costs. However, digital information no longer needs to exist in siloed environments. Emerging IIoT platforms are enabling companies’ feasible deployments, which in turn is driving vital outcomes for businesses in the industrial sector.

In the past, much focus has been on providing solutions to individual issues rather than the whole, which can lead to varying technologies yet nothing to unify them. Another big problem has been having the capability to clarify the ROI to stakeholders as software development can take many years to realize before any outcomes are measured. If software applications that deliver full solutions can be developed quickly, ROI can also be derived much faster.

The latest IIoT platforms are being developed based on years of research and testing, which integrate proven frameworks with a focus on results in place of extended software development lifecycles, allowing for results to be visualized much quicker and be tested alongside the client, keeping them involved throughout the process.

One such IIoT platform is Datonis.

Datonis is a highly scalable, cloud-based Industrial IoT platform for Industry 4.0, developed by Palo Alto-based company Altizon Systems, that has been helping enterprises find their way through their IIoT transformation journey for the past six years. As a company that has been recognized for the second consecutive year in the Gartner 2019 Magic Quadrant for IIoT Platforms, Altizon has connected over 100 manufacturing plants with a list of implemented initiatives that continue to grow.

Their studies have shown them that every industry vertical has a unique set of obstacles or use cases best suited for IIoT while their focus has taught them that they can achieve faster ROI for their customers with a holistic approach. Datonis helps businesses realize measurable business results in areas such as energy efficiency, process quality improvement and improved Overall Equipment Effectiveness (OEE) for edge machines.

More about the Datonis IIoT Platform

Datonis is a cloud based Industrial IoT platform that connects machines, people and processes to drive digital transformation, utilizing machine data, analytics and AI to drive outcomes. The platform is scalable and allows devices to:

  • Connect and transfer data in real-time, securely
  • Analyze machine data in real-time
  • Set alerts and notifications for faults or errors
  • Interactively analyze machine data at scale
  • Use machine learning (ML) to build data models on the machine data and predict outcomes
  • Consolidate the machine data with enterprise systems using an open API

Now businesses can interactively analyze their machine data at scale and leverage the power of machine learning to build data models to predict outcomes.

Datonis gives manufacturers the power to analyze and visualize data coming from the core of their operation in real time, and then integrate IIoT data into their business intelligence applications. Having the right data, fresh from the factory floor and the field, informs businesses to make better operational decisions, streamline their costs and accelerate their production. Datonis is instrumental in rapidly delivering value, setting a foundation for the longer term.

Meeting the Challenge: Achieving Measurable ROI from IIoT Rapidly

In September of this year, Altizon announced its Four Week IIoT Challenge to be able to help businesses to shape a scalable enterprise-wide IoT game plan, from which the companies taking part can predict quick results and achieve measurable ROI. Altizon is assuring improvements of 15% in OEE, 3% in process quality and a 5% reduction in the use of energy and consumables — within the initial four weeks of deployment.

During the challenge, Altizon will work directly with the participants to integrate a specific manufacturing process using their Datonis platform seamlessly, taking advantage of machine data to improve OEE while delivering the core for a long-term, scalable enterprise-wide IIoT strategy.

“Over the years Altizon has installed over 200 industrial IoT projects globally, incorporating the diverse environments of industrials, such as chemicals and automotive, to renewable energy, to consumer-packaged goods. After all of these successful engagements, dealing with a diversity of industrial machinery and operational practices, we learned something new each time to make the process for achieving ROI faster. This validated our potential to achieve ROI in just 4 weeks – and announcing the challenge became an ideal way to get going.” Says, Co-founder and CEO at Altizon, Vinay Nathan.

“Having broad goals is important, but the organization must start with a keen focus when it comes to mission-critical machinery.” Nathan continues. “The implementation of IIoT into an organization doesn’t have to be a lengthy or complicated process. It’s key to establish realistic objectives over the short term — such as the first two weeks.

At Altizon, we understand that seeing a significant impact in the short-term matters for a business for achieving longer term value and a sustainable strategy. That’s where an opportunity such as the IIoT Challenge can enable business to integrate IIoT seamlessly and rapidly with their operations.”


Arti Loftus is an experienced Information Technology specialist with a demonstrated history of working in the research, writing, and editing industry with many published articles under her belt.

Edited by Ken Briodagh
Get stories like this delivered straight to your inbox. [Free eNews Subscription]

Special Correspondent

SHARE THIS ARTICLE
Related Articles

New Collab Between Scanbot SDK and Cypher Robotics Set to Automate Wearying Warehouse Inventory Processes

By: Alex Passett    3/26/2024

Scanbot SDK and Cypher Robotics have officially partnered to streamline warehousing and inventory cycle counting processes.

Read More

Digi IX40: Details About this 5G Edge Computing IIoT Cellular Solution for Industry 4.0

By: Alex Passett    3/20/2024

Earlier this month, IoT/IIoT connectivity products and services provider Digi International announced the market launch of Digi IX40.

Read More

Bear Robotics Secures $60M in Series C Funding Round, Supported by LG Electronics

By: Alex Passett    3/18/2024

Last week, Bear Robotics announced the completion of a $60 million Series C funding round, which was led exclusively by LG Electronics.

Read More

Industrial Cybersecurity Forecasting, Courtesy of Kaspersky

By: Alex Passett    3/15/2024

Kaspersky recently presented an industrial cybersecurity review for a number of international entities, outlining key cybersecurity challenges for ind…

Read More