Research on Enterprise Business Decision Optimization Based on Big Data Analytics
Abstract
practice, it faces practical challenges such as data silos, uneven quality, insufficient technical capabilities, shortage of composite talents,
and rigid management processes. This article takes a close look at why the dilemma happens. It points to issues like strategic cognitive bias,
breakdowns in organizational collaboration, and a gap between technology and the business side. It then lays out an optimization framework
that links "strategic and organizational collaboration - technical capability building - decision process reconstruction" into one connected approach. Research has shown that companies get better results when data analysis is built into core business decisions through top-level design,
data governance, and talent cultivation. Process reengineering is part of the plan. The aim is to make decision optimization more precise, more
agile, and more intelligent.
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DOI: http://dx.doi.org/10.70711/memf.v3i8.9710
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