| _version_ | 1866901416292909056 |
|---|---|
| author | Murodullaev Doniyor Worldy Knovledge Publishing Centre |
| author_facet | Murodullaev Doniyor Worldy Knovledge Publishing Centre |
| contents | <p>This article examines the theoretical and practical aspects of using data science to analyze demand and optimize production in sales systems. The study explores the main stages of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, and justifies their role in improving sales efficiency. The results show that data-driven decision-making provides organizations with a significant competitive advantage.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19684641 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | USING DATA SCIENCE TO ANALYZE DEMAND AND OPTIMIZE PRODUCTION IN SALES Murodullaev Doniyor Worldy Knovledge Publishing Centre <p>This article examines the theoretical and practical aspects of using data science to analyze demand and optimize production in sales systems. The study explores the main stages of data analytics, including descriptive, diagnostic, predictive, and prescriptive analytics, and justifies their role in improving sales efficiency. The results show that data-driven decision-making provides organizations with a significant competitive advantage.</p> |
| title | USING DATA SCIENCE TO ANALYZE DEMAND AND OPTIMIZE PRODUCTION IN SALES |
| url | https://doi.org/10.5281/zenodo.19684641 |