Data Mining as a Strategic Business Decision Prediction Tool

Authors

  • Histori Mei Selamat Gulo Unika Santo Thomas Translator
  • Laurenzio Gratian Amati Daeli University Of Saint Thomas Author
  • Joy Silvia Siahaan Author
  • Sardo P. Sipayung Author

DOI:

https://doi.org/10.99999/

Keywords:

Data Mining, Business Decisions, Classification, Clustering, Business Strategy

Abstract

Data mining has become an important tool to support business strategy decisions. This process allows companies to use algorithms and statistical techniques to analyze previously unidentified big data patterns and trends. The purpose of this research is to determine the use of data mining in predicting business decisions that can increase the effectiveness of company strategy. The methods used in this research include classification and clustering techniques to identify main market segments and consumer behavior. Research shows that data mining provides valuable insights for sales forecasting, inventory optimization, personalization of customer experiences, and more, directly impacting more profitable and strategic business decisions. In conclusion, data mining can improve decision-making efficiency and help companies develop better business strategies.

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Published

20-12-2024

How to Cite

Data Mining as a Strategic Business Decision Prediction Tool. (2024). SEMICOLON: Computer Science Journal, 1(1), 56-60. https://doi.org/10.99999/