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What is Visplore?

Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data. Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units. Visplore is developed by an independent European software company headquartered in Austria. Founded to bring advanced analytics closer to operational teams, the company focuses on industrial environments where transparency, on-premise deployment, and engineering usability are key requirements. The organization works closely with manufacturing customers across Europe and other industrial regions, supporting deployments in regulated and security-sensitive environments. Key features and functionality include: - Guided root cause analysis workflows for systematic investigation of KPI deviations - Interactive time series analysis across process, asset, quality, and material data - Integrated data analysis tools for multivariate exploration and hypothesis testing - Visual analytics process optimization templates that standardize investigations - On-premise deployment with seamless IT/OT connectivity Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.

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.

Media

Media

Integrations Supported

AVEVA PI System
AVEVA Asset Information Management
AVEVA Historian
Amazon Redshift
Apache Parquet
Canary Historian
Denodo
FactoryTalk
FactoryTalk Analytics
Ignition SCADA
MATLAB
PostgreSQL
Proficy HMI / SCADA
Proficy Historian
Proficy Smart Factory MES
Python
R
Snowflake
Visual KPI
dataPARC Historian

Integrations Supported

AVEVA PI System
AVEVA Asset Information Management
AVEVA Historian
Amazon Redshift
Apache Parquet
Canary Historian
Denodo
FactoryTalk
FactoryTalk Analytics
Ignition SCADA
MATLAB
PostgreSQL
Proficy HMI / SCADA
Proficy Historian
Proficy Smart Factory MES
Python
R
Snowflake
Visual KPI
dataPARC Historian

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Visplore GmbH

Date Founded

2020

Company Location

Austria

Company Website

visplore.com

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com/parcview/

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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