HanAra Insights Blog
What Industrial Machine Learning Means for Your Operations
Industrial organizations rely on data to make informed decisions. Throughout the years, teams and organizations have moved through many stages of using data. From manually recorded equipment readings [...]
From Spreadsheets to Smart Reports: Modernizing Industrial Operations Reporting
Reporting has always been a critical part of industrial operations. From tracking production performance and equipment health to monitoring energy consumption and maintenance activities, reports [...]
District Energy Strategy: Why One Size Doesn’t Fit All
In June, our team was in Canada for another round of industry conversations, sessions, and networking. As is often the case after a [...]
5 Tips to Improve the Reliability of Your Operational Equipment
Unexpected equipment failures can disrupt production, increase maintenance costs, create safety risks, and place unnecessary strain on operations teams. In industrial environments where [...]
Got Industrial Data Governance?
The AI Moment We're Living In and What's at Stake If you grew up watching science fiction, you probably imagine AI as a distant, dramatic threat, like [...]
Seeing Is Understanding with Industrial Data Visualizations
A picture is worth a thousand words, but what about a data visualization? Is a trend chart worth a thousand data points? Maybe not, but this demonstrates a common truth: [...]
Spring Cleaning for Your Operations: How Better Data Drives Industrial Efficiency
Spring Cleaning Isn’t Just for Your Home As the seasons change, many of us feel the urge to start fresh. We clear out [...]
District Energy Data Management and the Advocates of Tomorrow
District energy professionals gathered at CampusEnergy2026 brought their usual expertise in thermal networks, decarbonization roadmaps, and energy resilience this year. But one theme [...]
Deploying a Big Data Infrastructure for Smart Plants
The Power of Integrated Plant Data Plants generate enormous volumes of data from sensors on the floor to calculations generated at headquarters. Yet [...]