Replaced sluggish legacy infrastructure with a real-time engine. We slashed reporting latency by 70%, giving leadership instant visibility while cutting cloud costs.
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In fast-moving e-commerce, waiting 24 hours for data means reacting to yesterday’s problems. We overhauled a sluggish legacy infrastructure to build a high-velocity data engine, cutting reporting latency by 70% and giving leadership near real-time visibility into business performance.
The executive team was suffering from "Data Lag." As the company grew, the data infrastructure couldn't keep up with the volume. Critical reports were taking hours to process, meaning key metrics weren't available until it was too late to act on them . The team was effectively making decisions based on stale data, while the infrastructure struggled under the load of inefficient processing .
The Solution:We re-engineered the entire data architecture to prioritize Velocity and Agility:
