This document examines how digital transformation can dramatically improve laboratory efficiency and scientific productivity. It identifies key inefficiencies in traditional lab environments, including manual data capture, disconnected tools, and limited collaboration. The paper advocates for cloud-based, integrated informatics platforms that unify experiment planning, execution, data capture, and analysis. Automation, standardized workflows, and real-time collaboration reduce errors and free scientists to focus on higher-value research. Case examples illustrate how organizations can shorten experiment cycles, improve data quality, and scale research more effectively by adopting modern lab software and analytics.

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