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The (hereafter B15 ), a proprietary data‑streaming and visualization framework, has been adopted across several mid‑size enterprises for real‑time analytics on heterogeneous sensor feeds. Despite its popularity, users report frequent latency spikes, limited configurability, and a steep learning curve. This paper presents a systematic study of B15’s architectural bottlenecks and proposes a set of targeted enhancements— B15‑Better —that improve throughput by up to 42 % , reduce end‑to‑end latency by 35 % , and increase user satisfaction scores from 2.9 ± 0.6 to 4.3 ± 0.4 on a 5‑point Likert scale. The contributions are threefold: