Best Manufacturing Intelligence Software for dataPARC Historian

Find and compare the best Manufacturing Intelligence software for dataPARC Historian in 2024

Use the comparison tool below to compare the top Manufacturing Intelligence software for dataPARC Historian on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    HighByte Intelligence Hub Reviews
    HighByte Intelligence Hub is an Industrial DataOps software solution designed specifically for industrial data modeling, delivery, and governance. The Intelligence Hub helps mid-size to large industrial companies accelerate and scale the use of operational data throughout the enterprise by contextualizing, standardizing, and securing this valuable information. Run the software at the Edge to merge and model real-time, transactional, and time-series data into a single payload and deliver contextualized, correlated information to all the applications that require it. Accelerate analytics and other Industry 4.0 use cases with a digital infrastructure solution built for scale.
  • 2
    Seeq Reviews

    Seeq

    Seeq Corporation

    $1000.00/year/user
    Seeq is the first app that focuses on process data analytics. Search your data, add context, model, cleanse, find patterns, establish boundaries and collaborate in real-time with time series data. No matter what your operational data system or process historian - the OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation or Inductive Automation's Ignition - Seeq can connect and get to work in minutes. What's missing in the current hype about predictive analytics, machine learning and data science is solutions to the real problems that an analytics-driven company faces. Your current employees' expertise. Collaboration and knowledge capture are key to fostering sharing and reuse of analytics efforts. The ability to quickly distribute insights to those who need them to improve outcomes.
  • 3
    PARCview Reviews
    dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise. Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.
  • 4
    TrendMiner Reviews
    TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.
  • 5
    Braincube Reviews
    Manufacturing is at a crossroads. There is tremendous pressure to 'transform’ operations and move into Industry 4. As you attempt to digitize operations, optimize processes, increase share, and possibly with fewer resources, it may feel like the world is weighing heavily on your shoulders. Braincube can help you take control over your data and transform operations. We connect your data from any system in any format. Your central data is always up-to-date and accessible 24/7. Our middleware ingests, cleans, and reports in real-time on your raw data to give you actionable insights into how to reduce risk, reduce costs, optimize, and improve quality. It automates data manipulations and calculations, eliminating the time-consuming and expensive process of selecting, extracting, transferring, and preparing your data. Your raw data is always placed in context and is ready for analysis. You now have structured, contextualized data (a Digital Twin), that you can use at any time and on any line.
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