Operational blind spots rarely announce themselves. An aging transformer in one district. A cluster of alarms in another state. A maintenance delay hidden inside a spreadsheet. Over time, these gaps accumulate into reliability risk, regulatory exposure, and unnecessary cost.
Energy utilities operate thousands of substations, transformers, breakers, and distributed assets across multiple states. Data exists in SCADA systems, GIS tools, CMMS platforms, and OEM portals. Yet these systems rarely tell a single, unified story of where assets are located and what condition they are in.
zeb built its Location and Condition Tracking solution on the Databricks Data Intelligence Platform to unify geospatial, operational, and maintenance intelligence into one governed monitoring foundation, delivering continuous visibility into asset health, risk, and response priorities.
Building a unified geo-asset foundation
The solution consolidates SCADA telemetry, GIS coordinates, maintenance records, inspection results, and asset master data into a single Lakehouse using Delta Lake and Unity Catalog.
Data is organized through the Medallion architecture, creating standardized, traceable, and role-aware asset datasets. Health scores, alarm histories, risk bands, and work orders are linked directly to geospatial coordinates, enabling true map-based monitoring.
This foundation eliminates fragmented views across states and ensures central and regional teams consume the same curated logic.
From fleet overview to asset-level investigation
A live geospatial workspace renders every installed asset at its precise latitude and longitude.
Central Asset Operations Managers see a multi-state fleet view with global KPIs such as total assets, critical risk count, open high-priority work orders, and predicted failures.
State or Regional Asset Managers automatically land on a filtered map scoped to their territory. KPIs adjust dynamically to reflect only assets within their jurisdiction.
From the map, users can drill into detailed dashboards that list asset ID, type, health score, latest alarms, maintenance history, next inspection date, and associated work orders. Monitoring becomes a visual-to-analytical workflow rather than a search across disconnected systems.
Conversational monitoring intelligence
Dashboards alone are not enough when operations move quickly.
AI and BI Genie is connected directly to the curated geo and KPI layers. Users can ask questions such as:
- Show all critical assets in my state
- Which substations have repeated alarms in the last 7 days
- Where can I reduce outage risk the most this month
Genie returns filtered tables, narrative explanations, and deep links that open the correct geo map and dashboards with context applied.
This eliminates dependency on manual filtering and reduces the time from question to action.
What sets this solution apart
Role-aware design by default
Unity Catalog policies ensure central leaders and regional managers operate on the same truth while seeing only the data they are authorized to access.
Map-first operator workflow
The experience mirrors how operators think and act. Start from a live map. Identify hotspots visually. Drill into asset detail. Take action.
Integrated predictive intelligence
MLflow-managed health and anomaly models continuously update risk scores and predicted failures, enabling proactive planning rather than reactive response.
Enterprise scalability
The Lakehouse architecture supports streaming telemetry across multi-state fleets without duplicating logic or building parallel reporting stacks.
Real-world example
A multi-state utility struggled with inconsistent asset records and delayed fault triage across regions. Central teams lacked visibility into local hotspots, while state managers relied on spreadsheets and static GIS exports.
After implementing zeb’s Location and Condition Tracking solution on Databricks:
- Fleet visibility increased to over 95 percent of installed assets
- Mean time to restore reduced significantly through faster triage
- Manual reconciliation between state and central reports was eliminated
- Predictive health scoring reduced unplanned failures and truck rolls
Monitoring shifted from reactive reporting to proactive fleet intelligence.
A foundation for enterprise asset visibility
zeb’s Location and Condition Tracking solution provides a governed, scalable foundation for monitoring asset location, condition, and risk across the installed base. Built on the Databricks Data Intelligence Platform, it enables faster triage, improved reliability, and coordinated operations across central and regional teams.
Ready to unify your fleet into a single monitoring intelligence fabric? Let’s build a geospatial asset foundation that turns visibility into operational advantage. Contact us.
+1 732 737 9188
sales@zeb.co