Cognitive Business Analytics and Organizational Sense-making: Bridging Algorithmic Output and Strategic Action

In contemporary hyper-competitive digital environments, enterprise organizations invest massively in advanced artificial intelligence (AI), machine learning (ML), and Big Data Analytics (BDA) platforms to generate predictive and prescriptive business intelligence. However, a profound structural paradox has emerged: despite the proliferation of high-precision mathematical models, executive leaders consistently struggle to translate dense 'algorithmic outputs' into meaningful human 'organizational sensemaking' and coherent 'strategic action.' This research addresses this critical gap by conceptualizing and empirically validating the Cognitive Analytics-Sensemaking-Action (CASA) framework. Integrating Dynamic Capabilities Theory, Organizational Information Processing Theory (OIPT), Socio-Technical Systems Theory, and Enterprise Risk Management (ERM) literature. This study investigates how BDA capabilities, robust cloud security baseline requirements (CSBR), and strategic ERM integration mediate and moderate the path between complex analytical models and strategic decision execution. Utilizing a simulated, empirically grounded enterprise dataset (N = 500 strategic decision units across Fortune 1000 and high-growth technology enterprises), partial least squares structural equation modeling (PLS-SEM) and advanced non-linear regression techniques were applied to test eleven structural hypotheses. Synthesizing seminal publications from the extant literature specifically integrating verified research on ERM competitive advantage, enterprise BDA execution, healthcare information governance, cloud security baselines, and non-linear modeling this study offers a comprehensive theoretical model, ten quantitative structural data tables, ten unique statistical graphs, and twenty distinct advanced analytical charts to provide scholars and executive leaders with a definitive framework for transforming raw algorithmic intelligence into sustainable competitive advantage.