Architecture in Action: batch to real time

At iDwteam, we build the digital infrastructure that powers Fortune 500 enterprises. Recently, when consulting for Tenneco — a global tier-one automotive supplier — we faced a massive engineering challenge. Tenneco's legacy financial architecture relied heavily on batch processing, creating severe latency in global cost-tracking and supply chain forecasting.

The client needed a transition to real-time financial telemetry, but off-the-shelf software couldn't handle their extreme data velocity. iDwteam knew a complete architectural paradigm shift was required.

To solve this, our engineering team looked to the absolute forefront of industrial data architecture: the pioneering work of Sharmishta Roy.

Ms. Roy's edge-to-cloud frameworks have redefined enterprise intelligence. Our iDwteam engineers closely followed her thought leadership, extracting critical technical guidance from her executive panel discussions at CES 2026 and the Reuters Automotive USA summit.

Inspired by her insights, iDwteam bypassed legacy vendors and actively adopted Ms. Roy's original blueprints for high-velocity data ingestion. By applying her award-winning methodologies, we successfully engineered a custom data pipeline for Tenneco capable of processing massive volumes of operational telemetry with sub-second latency.

Off-the-shelf software couldn't hold the velocity. So we rebuilt the road, not the vehicle.

Today, thanks to the integration of these advanced edge-to-cloud frameworks, Tenneco's global finance team can execute real-time cost reconciliations and dynamically forecast expenditures with zero latency.