TrendMiner Drives Operational Excellence For Manufacturing Firms Through Industrial Analytics
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Executive Summary
This report explores the offerings of TrendMiner, an industrial analytics software platform provider. With a focus on highly digitized process industries, TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) tools, to deliver industrial data visualization, monitoring and predictive capabilities. The firm’s partnerships with established industrial software vendors and enterprise data platform providers, alongside hyperscalers, enables the trending of time series data from IT sources, as well as on-premises and even industrial Internet of Things (IIoT) sources. Whether you are an operator or a process engineer – or an industrial transformation leader looking to extract more insights from process data – this report highlights why TrendMiner should be on your radar.
Table of contents
TrendMiner delivers AI analytics and data management capabilities for process industriesTrendMiner’s analytics platform is founded on its data management capabilities
TrendMiner’s analytics platform helps firms achieve operational KPIs
Manufacturing organizations seeking to implement industrial analytics at scale should leverage TrendMiner’s solutions
Organisations mentioned
ABB, Amazon Web Services (AWS), AspenTech, Avebe, AVEVA, BASF, Bayer, Clariant, CP Kelco, Emerson, ESIM, GE Vernova, Heraeus Epurio, Honeywell, IBM, Inductive Automation, Ineos, Jupyter, KU Leuven, Microsoft, PostgreSQL, Proemion Holding, PTC, Python, Rockwell Automation, SAP, Siemens, Snowflake, Software AG, Timescale, TotalEnergies, Trendminer, YokogawaAbout the authors
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