PARCviewdataPARC
|
VisploreVisplore GmbH
|
|||||
Related Products
|
||||||
About
Enable data-driven decision-making on the plant floor and across your enterprise. Improve your company’s decision-making and troubleshooting capabilities with our real-time manufacturing analytics software.
PARCview provides a single source of truth for all your manufacturing data. Aggregate disparate data from machines and manufacturing systems such as ERP, MES, lab, & quality systems, to develop the insights that drive continuous improvement.
Give your operators, engineers, & SMEs the power to develop data-driven solutions to your most challenging process issues. Give them PARCview – the most flexible, powerful, & easy-to-use industrial analytics toolkit available.
|
About
Visplore is a visual analytics software solution for rapid industrial troubleshooting and root-cause analysis.
When KPIs and simple trends are not enough and action is time-critical, it complements dashboards with guided forensic “why” analyses that deliver insights for problem-solving and process optimization.
It works across the entire IT/OT landscape, from process and asset data to quality and material data, and is easy to use for all engineers.
- Guided, transparent root-cause analysis with intuitive visuals — no black boxes, no complex modeling
- Works with your data, where it lives
- Seamless IT/OT connectivity
- From troubleshooting to standardized best practice
- Proven templates, excellent expert support, and workflows that scale into automated monitoring and reporting.
Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action.
|
|||||
Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Manufacturers
|
Audience
Engineers and domain experts in manufacturing, utilities, and paper & pulp industries who work with long time-series data and need fast insight into complex processes.
|
|||||
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Pros & Cons from Real UsersPros
Cons
|
||||||
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
|
|||||
Company InformationdataPARC
Founded: 1997
United States
www.dataparc.com/parcview/
|
Company InformationVisplore GmbH
Founded: 2020
Austria
visplore.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
Categories |
Categories |
|||||
Manufacturing Intelligence Features
Aggregation
Supported
Analysis
Supported
Contextualization
Supported
KPIs
Supported
Propagation
Not Supported
Visualization
Supported
|
||||||
Integrations
AVEVA PI System
Supported
AVEVA Historian
Supported
Apache Parquet
Not Supported
Canary Historian
Supported
Denodo
Not Supported
FactoryTalk
Supported
FactoryTalk Historian
Supported
Google Cloud BigQuery
Not Supported
Microsoft Excel
Not Supported
MongoDB
Not Supported
|
Integrations
AVEVA PI System
Supported
AVEVA Historian
Not Supported
Apache Parquet
Supported
Canary Historian
Not Supported
Denodo
Supported
FactoryTalk
Not Supported
FactoryTalk Historian
Not Supported
Google Cloud BigQuery
Supported
Microsoft Excel
Supported
MongoDB
Supported
|
|||||
|
|
|