No open-access location is known for this record yet.
No open-access location is known for this record yet.
This research explores the landscape of data-driven business optimization in the U.S. economy, analyzing key components, benefits, challenges, and future trends. The study emphasizes the importance of effective data collection, advanced analytics, and informed decision-making. Regulatory compliance, ethical considerations, and integrating technology and infrastructure are essential elements shaping the journey toward optimization. Despite notable benefits such as improved efficiency and enhanced customer experiences, organizations face data quality, privacy, and cultural shift challenges. Future trends indicate the integration of AI, real-time analytics, and blockchain, pointing towards a dynamic future. As organizations navigate this evolving landscape, the quest for data-driven optimization emerges as a continuous and transformative journey. Keywords: Data-Driven Optimization, Business Analytics, Decision-Making, Regulatory Compliance.
Loading…
Stored only when both papers are in the corpus — 16 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.