{"title":"The art and science of business analytics: A journey from data to action","authors":"Madjid Tavana , Prof. Dr.","doi":"10.1016/j.dajour.2025.100554","DOIUrl":null,"url":null,"abstract":"<div><div>Business analytics is a balanced mix of art and science, where methods form the structure, and visualization breathes meaning and creativity into it. The key to success in problem-solving lies in the art of asking the right questions. Successful problem-solving combines curiosity and courage to challenge assumptions, pushing beyond the obvious to uncover hidden insights. The transition from investigation to creation in problem-solving follows the path of scientific inquiry, where a clear purpose guides every step. Models are like maps; even the most detailed and complete maps are pointless without a clear destination. Just as an artist requires the right brush to bring their ideas to life, a model requires quality data to uncover transformative insights. Model-building is an art of precision and humility, where knowing the boundaries sparks innovation, and failure becomes our most influential teacher. It is a dynamic process of experimentation, where each repetition refines our approach, and continuous iteration leads us to a broader perspective and deeper understanding. Business analytics is a powerful blend of imagination and rigor, where creativity and precision join to drive change. Models are more than equations and algorithms; they are dynamic and evolving reflections of real-world complexities. When the art and science of problem-solving successfully converge, they illuminate the journey from data to insightful actions.</div></div>","PeriodicalId":100357,"journal":{"name":"Decision Analytics Journal","volume":"14 ","pages":"Article 100554"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Decision Analytics Journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772662225000104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Business analytics is a balanced mix of art and science, where methods form the structure, and visualization breathes meaning and creativity into it. The key to success in problem-solving lies in the art of asking the right questions. Successful problem-solving combines curiosity and courage to challenge assumptions, pushing beyond the obvious to uncover hidden insights. The transition from investigation to creation in problem-solving follows the path of scientific inquiry, where a clear purpose guides every step. Models are like maps; even the most detailed and complete maps are pointless without a clear destination. Just as an artist requires the right brush to bring their ideas to life, a model requires quality data to uncover transformative insights. Model-building is an art of precision and humility, where knowing the boundaries sparks innovation, and failure becomes our most influential teacher. It is a dynamic process of experimentation, where each repetition refines our approach, and continuous iteration leads us to a broader perspective and deeper understanding. Business analytics is a powerful blend of imagination and rigor, where creativity and precision join to drive change. Models are more than equations and algorithms; they are dynamic and evolving reflections of real-world complexities. When the art and science of problem-solving successfully converge, they illuminate the journey from data to insightful actions.