Optimizing Business Decisions with Data-Driven Insights

EasyChair Preprint 14848

Abstract

In today's rapidly evolving business landscape, leveraging data-driven insights has become crucial for optimizing decision-making processes. This paper explores the methodologies and tools used to harness data for enhancing business decisions. By examining various data analytics techniques, including predictive modeling, machine learning, and statistical analysis, we highlight their application in identifying trends, forecasting outcomes, and informing strategic choices. The study underscores the importance of integrating data sources and employing advanced analytics to drive efficiency, reduce risks, and capitalize on opportunities. Through case studies and practical examples, we illustrate how businesses can transform raw data into actionable insights, ultimately leading to more informed, strategic decisions that foster growth and competitive advantage.

Keyphrases: Business Intelligence, Key Performance Indicators, Predictive Analytics, data analysis, data visualization, data-driven decision making, qualitative data, quantitative data

@booklet{EasyChair:14848,
  author    = {John Owen},
  title     = {Optimizing Business Decisions with Data-Driven Insights},
  howpublished = {EasyChair Preprint 14848},
  year      = {EasyChair, 2024}}