In the era of digital transformation, organizations generate vast volumes of structured and unstructured data that require effective management and intelligent analysis for informed decision-making. This research paper presents the design of a comprehensive business analytics framework for efficient data management. The proposed framework integrates data collection, storage, preprocessing, and analytics layers to ensure data quality, accessibility, security, and scalability. Descriptive, predictive, and prescriptive analytics techniques are incorporated to extract meaningful insights and support strategic planning. The study emphasizes the role of data governance, information policy, and change management in successful analytics implementation. The designed framework aims to enhance organizational performance by improving data-driven decision-making, operational efficiency, and competitive advantage. The proposed model can be effectively adopted in sectors such as education, manufacturing, healthcare, and finance.