Challenge
Tata Chemicals North America, a major player in the chemical manufacturing industry, was capturing immense volumes of sensor data every second via an on-prem SCADA system (iHistorian). But data volume wasn’t the problem—usability was. Thousands of cryptically named tags, inconsistent time intervals, and manual reporting left operational teams overwhelmed. Insights were delayed, reporting was error-prone, and cross-system integration was nearly impossible. The business was flying blind across shifts and plants, with engineers spending hours assembling reports from fragmented sources.
Solution
To turn industrial sensor noise into meaningful signal, we built FixTags—a dynamic, automated data aggregation platform designed for flexibility and scale. Our engineers replaced rigid scripts and manual workarounds with modular data pipelines and rule-based logic that adapts to business needs without code changes. Tags are now manageable via metadata, aggregation is automatic, and data anomalies are flagged in real time. The new solution ingests, processes, and structures data directly from iHistorian into a centralized, query-ready format, seamlessly feeding Power BI and internal decision systems.
Business Value
The impact was instant. Reports that once required manual stitching and alignment now auto-refresh daily—with zero human effort. Business users gained reliable, timely insights across operations, while data engineers reduced rework and support overhead. From shift managers to operations leadership, everyone speaks the same language—data-backed and decision-ready. Most importantly, FixTags laid the groundwork for advanced industrial analytics, predictive maintenance initiatives, and real-time operational support systems.
Struggling to make sensor data work for your operations?
Let’s talk about how a dynamic, future-proof solution like FixTags can unlock real business value from your industrial data. Download the Full Case Study.
