Improve operational efficiency and maximize profitability with Networking Solutions for smarter business decisions.
Our team tailors each use case to achieve real business value that can be measured and quantified. Although use cases all have similar characteristics, we insure that the unique goals of your business are integrated into a customized plan.
Using an operational digital twin, Quanta was able to correlate the steps in a highly technical manufacturing process with power consumption and heat generation to reduce energy costs.
By identifying and integrating technologies from several vendors Quanta was able to collect data from sensors mounted on the truck fleet of a large retailer.
Working with a leading manufacturer, Quanta optimized the process to cut the amount of scrapped product.
Testing new solutions on a manufacturing line is risky forcing changes only happen after a critical outage or long painstaking change-out is done over lengthy maintenance window. Create new manufacturing processes and test them virtually using Quanta’s Industrial Analytics Engine. This data modeling eliminates the need to touch the actual machines and minimizes any risk of mistakenly shutting down your manufacturing lines or impacting your plant operations.
Quanta Networks was the first to introduce an advanced IIoT analytics engine that creates a fully replicated digital twin of the entire manufacturing plant. With the use of proprietary techniques, this analytics engine is uniquely capable of predicting both operational failures and operational savings opportunities in your manufacturing machines, utility equipment and facility’s infrastructure.
The IAE allows your OT teams and data scientist to work together to find valuable process improvements and insightful data models that improve plant production and lower operational costs with:
Creating a digital replica of your entire plant operation allows our IAE to safely analyze and test new solutions reducing risk and downtown of your manufacturing process.
Quanta does not touch your manufacturing machines or utility equipment. Many companies want to retrofit sensors, but we feel it too risky. As such, we only use remote sensing technologies (heat, vibration, visual, audio, etc) to gather new insights into your legacy machines and plant processes.
Traditionally, companies struggle ingesting, transforming and managing data from all the many sources available to the business. Next, company’s struggle to economically store massive amounts of data cost-effectively. Finally, companies find themselves drowning in data that they can’t really analyze effectively. This is why Forbes says 60% of Big Data projects fail to move into production.
Quanta Networks offers the industry’s most complete data platform for performing analytics, machine learning and AI on any kind of data anywhere you store it. Quanta’s MAP-DL solution allows enterprises, manufacturers and utility companies to ingest, store, manage and analyze massive data volumes for both structured and unstructured data types. QMAP is specially architected to solve open new insights into your business through better data and smarter analysis.
MAP-DL can handle both structured and unstructured data sources. Most companies already have methods for analyzing structured SQL-type data but including unstructured sources (video, audio, IOT, social media, etc) can bring new value that delivers smarter business decisions and profitable business outcomes.
MAP-DL allows you to pick and choose where your compute and storage resides. On premise, in the cloud or a hybrid combination, Quanta gives you the choice to pick the lowest priced options to meet your business requirements.
This is the first time in history where you can leverage both public cloud and private cloud to best serve your business. Pick and change cloud vendors or let Quanta help you build a private cloud. This gives you total control of your data and the flexibility to change your compute and storage choices to fit your unique business needs.
MAP-DL is built on open-source technologies to guarantee no lock-in to your cloud provider or software vendor. Bring your data in-house or move it to a different cloud vendor if your business models change in the future.
Typically, this is the biggest challenge companies face when sharing data across business units and infrastructures.MAP-DL was built from the ground up to centralize security and governance controls no matter where your data sits. Manage user, row, column and cell-level access across both your hybrid premise and cloud architectures. This maximizes control of your data allowing you to pick the most cost-optimized choices to run your business efficiently.
Contact Quanta for a free consultation