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What is Zenith Technologies Data Historian?

At Zenith Technologies, the Data Historian team is dedicated to the development of robust Data Historian systems that effectively collect, store, analyze, and display data from diverse sources on the manufacturing floor and throughout business operations, enabling clients to gain immediate insights into their production methodologies. Our experts in manufacturing intelligence leverage the OSIsoft PI Data Historian—an industry-leading solution—and are well-versed in critical competencies such as data integration, warehousing, and visualization techniques. We provide a comprehensive range of services that encompass everything from system installation and configuration to crafting in-depth reports and engaging data visualizations. With a wealth of experience in setting up and managing Plant Historian systems, our engineers assist clients in promoting behavioral shifts, improving decision-making processes, and maintaining compliance with regulatory standards. Our team consists of experienced professionals who have successfully rolled out historian solutions in both the pharmaceutical and GxP sectors, underscoring our dedication to achieving excellence in this niche area. This deep-seated expertise empowers us to address the specific requirements of our clients, delivering customized solutions that enhance operational efficiency and lead to greater success in their endeavors. By continuously refining our methodologies, we ensure that our clients remain at the forefront of their industries.

What is DataHUB+?

DataHUB+ represents an advanced process data historian and visualization solution for modern enterprises. It empowers users to monitor assets and systems in real-time across extensive networks, providing quick insights through integrated analytics and visualization tools, enabling visibility into the status of any facility, plant, or system at any given moment. Being agnostic to equipment and sensors, DataHUB+ can effortlessly import data from any IoT devices or sensors, regardless of whether the data is structured or unstructured. This adaptability allows DataHUB+ to establish itself as the definitive source of truth, ensuring all operational data is securely and reliably stored. Additionally, the platform proactively assesses data quality prior to ingestion and notifies teams of any issues that arise. Unlike traditional process historians that depend on expensive IT infrastructure, DataHUB+ is designed for easy scalability to meet the demands of enterprise data management. Furthermore, it integrates seamlessly with VROC's AI solution OPUS, facilitating forecasting, predictive maintenance, and sophisticated analytics. By removing data silos and minimizing data wrangling within organizations, DataHUB+ enhances data-driven decision-making processes. Organizations can harness DataHUB+ to gain deeper insights into their operations and drive significant improvements in efficiency.

Media

Media

Integrations Supported

KEPServerEX
Kepware+

Integrations Supported

AVEVA Historian
AVEVA PI System
AWS Amplify
Aspen HYSYS
Azure Industrial IoT
Canary Historian
ControlST
DCS
FactoryTalk Historian
Ignition SCADA
Microsoft Entra ID
SIMATIC SCADA

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Competitive pricing structure based on number of tags. Includes unlimited users and data analytics

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cognizant

Company Location

United Kingdom

Company Website

www.zenithtechnologies.com/data-historian/

Company Facts

Organization Name

VROC

Date Founded

2016

Company Location

Australia

Company Website

vroc.ai/products/datahub/

Categories and Features

Data Historians

Not specified

Categories and Features

Data Historians

Not specified

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