Strengthening the nuts & bolts of your analytics enterprise
"Don’t approach data analysis as a cool 'science experiment' or an exercise in amassing data for data’s sake. The fundamental objective in collecting, analyzing, and deploying data is to make better decisions."
Check out this in-depth article from McKinsey that details seven principles needed to accelerate the application of analytics, amplify its power, and steer you away from risky outcomes. Take your analytics further while avoiding pitfalls.
Turn your context items into powerful new datasets with ContextHub
TrendMiner has announced the launch of ContextHub, a brand new environment that provides customers even further capabilities to improve operational excellence.
Serving as an extension to TrendMiner’s TrendHub, ContextHub is built around the structure of OSIsoft PI Event Frames and Asset Framework, greatly broadening the use and usefulness of contextual information for root cause analysis and operational performance monitoring.
Reducing the water industry’s carbon footprint with advanced data analytics
Water reuse and wastewater treatment are intrinsically energy intensive due to the need to move large volumes of water using pumps and electric motors, and then treat the water to meet applicable regulatory requirements.
In this article featured in Waste & Water Digest, TrendMiner's Bavo Symens presents various use cases that demonstrate how self-service analytics tools are helping companies decrease energy consumption and meet corporate KPIs.
Food & Beverage Industry: Avebe's transformation to a data-driven organization
Avebe, the world's largest manufacturer of potato starch, discusses their operations and manufacturing IT strategy, the role OsiSoft and TrendMiner had in their digital transformation, and the challenges they faced.
Dredging & Marine Industry: The qualitative & quantitative value DEME gets from analytics
Learn how DEME is using self-service analytics for short-term insights, long-term knowledge gain, and cost savings of upwards of €400K annually (for just one asset type)
Empowering Engineers (of all kinds!) with Analytics
In this issue we've shown how engineers from various industries are using advanced analytics to enhance their day-to-day operations. From Process to IT to Mechanical - these engineers may differ in scope, but one thing they all have in common is their use of self-service analytics.
Download this free ebook to learn how engineers hold the keys to quicker, richer insights into improving your production processes.
TrendMiner users can analyze their process data, monitor production, and predict problems early on. Click below to learn how easy it is to turn your data into actionable intelligence.
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Next Generation Productivity Through Self-service Industrial Analytics
"Don’t approach data analysis as a cool 'science experiment' or an exercise in amassing data for data’s sake. The fundamental objective in collecting, analyzing, and deploying data is to make better decisions."
