Data-Driven Decision-Making in Local and Global Markets: The Role of Market Research in Pricing, Branding, and Distribution Strategies

Abstract

Business competitiveness receives strength from advanced analytics through data-driven decision-making systems (DDDMS). An evolving market situation requires organizations to base their strategic decisions on data that optimizes their pricing elements along with branding approaches and distribution methods. The research evaluates DDDMS by studying the global flour market particularly in Pakistan's flour industry sector. The examination of industry data from 2017 to 2022 measures business strategies that leverage analytics for market victory. The research illustrates operational efficiency, supply chain management, and market expansion effects of data-driven strategies by studying New Hilal Flour Mills (LTD). Companies face multiple difficulties during data implementation namely restricted access to information coupled with complicated analysis requirements along with information integration issues. Comprehensive use of data analytics by businesses enables them to build stronger competition against their competitors. The research delivers essential directions to business leaders and researchers that assist organizations in adopting data-driven approaches to support sustainable market development.