Facilitating Decision Making process with Business Intelligence Systems and Data

Abstract

Modern corporate intelligence solutions now need the use of data warehousing. Large volumes of data from numerous sources can be combined, transformed, and stored by companies in this way, making the data accessible for study and reporting. The purpose of this study is to examine how data warehousing aids in organizational decision-making. The study will examine data warehousing's architecture, design, implementation, and maintenance, as well as its technical and commercial elements. The study will also examine how data warehousing affects decision-making, including how it can boost decision-making speed and accuracy, deliver timely and accurate information, and improve data quality. A mixed-method approach will be used for the research, which will include a survey of business professionals and case studies of companies that have effectively utilized data warehousing. The results of this study are anticipated to help establish a framework for data warehousing that can be used by companies in many industries. The framework will include recommendations for data integration, quality control, and governance in order to successfully execute data warehousing. As a result, this study is important because it aims to fill a present gap in the literature by discussing the function of data warehousing in corporate intelligence and decision-making procedures. The study will offer insightful information regarding the advantages and disadvantages of data warehousing and how it affects the decision-making process. In the end, our research will help firms create business intelligence systems that are more effective, resulting in better decision-making procedures, higher operational efficiency, and competitiveness