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What is PARCview?

dataPARC serves as a user-friendly industrial data visualization and analytics toolkit aimed at process manufacturers who wish to enhance quality, boost yield, and streamline their operations. This platform enables users to gather, integrate, and scrutinize data from various sources within the plant using its robust process data analytics and visualization features. With dataPARC, users can tackle complex process and product quality challenges through intuitive yet effective trending and diagnostic analytics tools. Additionally, it allows for the creation of intricate dashboards and displays that facilitate process monitoring and the dissemination of production KPIs throughout the organization. By incorporating artificial intelligence (AI) and machine learning, dataPARC empowers users to foster ongoing improvements and elevate profit margins through predictive modeling, thereby ensuring that manufacturers stay competitive in an ever-evolving market. This comprehensive toolkit not only streamlines decision-making processes but also enhances operational efficiency across the board.

What is AIMSCO?

AIMSCO eChecksheets™ (eCS) offer a cutting-edge cloud-based framework for real-time data collection related to production, quality, visual aspects, and processes right at the point of use, facilitating prompt oversight. These eCS can be rapidly created and deployed either within a single facility or across multiple manufacturing sites, with support for numerous languages to enhance accessibility. Featuring an extensive library of industrial eCheckitems™ (eCI), the system is managed by appointed users who aid in data collection initiatives and promote ongoing improvement strategies. In addition to manual data entry, eCI can also be automatically populated through equipment connections (IoT) or enterprise systems that utilize standardized web service protocols. Leveraging the power of Microsoft Azure Cloud, AIMSCO Power Plant™ services allow for the smooth integration of eCS data with Microsoft Power BI® through customized data models, which enables advanced analytics and process visualization. This forward-thinking approach not only improves data reliability but also cultivates a continuous improvement ethos across diverse operational settings. Furthermore, the adaptability of eCS to various industries showcases its potential to enhance efficiency and drive innovation wherever it is implemented.

Media

Media

Integrations Supported

AVEVA Data Hub
AVEVA Historian
AVEVA PI System
Aspen InfoPlus
Canary Historian
FactoryTalk
FactoryTalk Analytics
FactoryTalk Historian
Ignition SCADA
Proficy HMI / SCADA
Proficy Historian
Proficy Smart Factory MES
RtDUET
Seeq
TrendMiner
Uptake
Visual KPI
dataPARC Historian

Integrations Supported

Microsoft Azure
Microsoft Power BI

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com/parcview/

Company Facts

Organization Name

AIMSCO

Date Founded

1997

Company Location

United States

Company Website

www.aimsco.com

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Visualization

Categories and Features

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