IoT Battery Intelligence: Turning Telemetry into Commercial Decisions

The client is a global provider of stored-energy solutions — industrial battery systems, charging infrastructure, and the IoT telemetry that increasingly differentiates their value proposition.

The strategic question for an industrial battery company in the IoT era is whether telemetry from deployed batteries becomes a commercial asset or stays a maintenance log. The industrial battery manufacturer had collected vast operational data from its battery fleet but lacked the analytical surface to convert that data into actionable intelligence for customers and internal product teams.

Taller built the data intelligence front-end on the global technology company Big Data stack, integrating SQL Server Analysis Services with Angular dashboards. IoT data products live or die on the cardinality choices made at the analytical model layer: SSAS lets the team pre-compute the aggregations that matter — energy throughput by site, charging-cycle distribution by battery model, fleet-level capacity utilization by hour of day — at a cadence the front-end can serve without pulling from raw telemetry every time. The Angular front-end becomes a decision surface rather than a chart gallery, because each visualization is wired to an operational action: re-balance the fleet, re-configure a battery group, re-plan a charging schedule.

The platform delivered access to actionable business intelligence across the battery fleet and unlocked new revenue opportunities through battery-intelligence services operating as part of the industrial battery manufacturer's broader stored-energy offer.

Converting industrial telemetry into a commercial product surface is the strategic move that distinguishes a hardware-only battery company from a stored-energy platform. The front-end is not a reporting dashboard but a product surface that lets the industrial battery manufacturer monetize battery intelligence as part of the broader offer.