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dataPARC description
dataPARC is a software toolkit designed for process manufacturers who want to visually analyze their operations data to improve efficiency. It helps collect data from across your plant floor, then provides tools to build dashboards and reports. dataPARC aims to make complex production data easier to understand and act on, with a focus on identifying trends and solving quality issues. It can integrate with existing systems and offers features like AI-powered predictive modeling.
Who is dataPARC best for
dataPARC is a visual analytics toolkit built for process manufacturers to improve efficiency. Users praise its ease of use, customizability, and integrations. However, some find it resource-intensive and occasionally buggy. It's best for those needing robust reporting and predictive modeling capabilities.
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Best for medium to large process manufacturers.
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Ideal for process manufacturing companies.
dataPARC features
Supported DataPARC supports trend identification with features like Trends and downtime tracking. |
Supported DataPARC supports generating reports and dashboards, including automated reporting features. |
Supported DataPARC supports predictive modeling using PARCmodel and real-time data analysis. |
Supported dataPARC allows customizing dashboards, choosing charts, and adjusting layouts. |
Supported DataPARC supports real-time data analysis and visualization via PARCview and integrations. |
Supported dataPARC offers a plant data historian for reliable data storage and retrieval. |
We evaluate the sentiment that users express about non-functional aspects of the software
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
dataPARC reviews
We've summarised 34 dataPARC reviews (dataPARC G2 reviews) and summarised the main points below.
- Excellent customer support; responsive and helpful.
- Easy to use and implement, with intuitive trending and graphics.
- Highly customizable dashboards and reports.
- Integrates well with various data sources and equipment.
- Powerful features like custom tags, centerlines, and MDE.
- Slow loading speeds, though workarounds exist.
- Backend systems can be clunky (older versions).
- Occasional bugs, primarily UI-related.
- Some features (e.g., Run Comparison, Event Paretos) are difficult to configure.
- Resource intensive and can be slow to load information.
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dataPARC FAQ
dataPARC is a software toolkit for process manufacturers seeking to improve efficiency through visual data analysis. It collects plant floor data, enabling dashboard and report creation. dataPARC simplifies complex production data, facilitating trend identification and quality issue resolution, and integrates with existing systems, offering AI-powered predictive modeling.
What is dataPARC and what does dataPARC do?
dataPARC is a software toolkit for process manufacturers seeking to improve efficiency through visual data analysis. It collects plant floor data, enabling dashboard and report creation. dataPARC simplifies complex production data, facilitating trend identification and quality issue resolution, and integrates with existing systems, offering AI-powered predictive modeling.
dataPARC integrates with existing systems, enabling real-time data analysis and visualization via PARCview. It supports connectivity with various data sources and equipment for comprehensive data collection and analysis. More specific integration details are not readily available.
How does dataPARC integrate with other tools?
dataPARC integrates with existing systems, enabling real-time data analysis and visualization via PARCview. It supports connectivity with various data sources and equipment for comprehensive data collection and analysis. More specific integration details are not readily available.
Top alternatives to dataPARC include TrendMiner, FLiq, and Seeq. These competitors offer similar features for analyzing time-series data, identifying trends, and optimizing production processes, particularly in manufacturing environments. Other options include more general database solutions like Microsoft SQL Server, MongoDB Atlas, and QuestDB.
What the main competitors of dataPARC?
Top alternatives to dataPARC include TrendMiner, FLiq, and Seeq. These competitors offer similar features for analyzing time-series data, identifying trends, and optimizing production processes, particularly in manufacturing environments. Other options include more general database solutions like Microsoft SQL Server, MongoDB Atlas, and QuestDB.
Yes, dataPARC is a legitimate software toolkit for process manufacturers. G2 reviews rate it 4.9/5, praising its ease of use, customizability, and integrations. While some users mention slow loading speeds and occasional bugs, dataPARC appears to be a safe and helpful tool for data analysis and visualization.
Is dataPARC legit?
Yes, dataPARC is a legitimate software toolkit for process manufacturers. G2 reviews rate it 4.9/5, praising its ease of use, customizability, and integrations. While some users mention slow loading speeds and occasional bugs, dataPARC appears to be a safe and helpful tool for data analysis and visualization.
I cannot find pricing information for dataPARC. Contact dataPARC directly to obtain current product pricing and determine if it's worth the investment for your needs.
How much does dataPARC cost?
I cannot find pricing information for dataPARC. Contact dataPARC directly to obtain current product pricing and determine if it's worth the investment for your needs.
Customers praise dataPARC's responsive and helpful support team. Users highlight the excellent service they receive, with team members going above and beyond. While some older versions had clunky backend systems, the overall sentiment towards customer service is positive.
Is dataPARC customer service good?
Customers praise dataPARC's responsive and helpful support team. Users highlight the excellent service they receive, with team members going above and beyond. While some older versions had clunky backend systems, the overall sentiment towards customer service is positive.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.