The Application of Database Management and Business Intelligence in Supporting Organizational Information Management
Keywords:
Databases, DBMS, Business Intelligence, Big Data, Data Warehouse, Data Mining.Abstract
The development of information technology has encouraged organizations to manage data more effectively to support accurate decision-making. Data management that still uses traditional file systems often causes various problems, such as data redundancy, inconsistent information, low flexibility, and difficulty in sharing data across different parts of the organization. This article discusses the basic concepts of database management, Database Management Systems (DBMS), database design, as well as the application of Business Intelligence technology in improving the quality of organizational information management. In addition, the article also outlines the development of modern data management technologies, such as relational databases, NoSQL, data warehouses, Hadoop, in-memory computing, Online Analytical Processing (OLAP), data mining, text mining, and web mining. The discussion shows that applying integrated database technology can boost operational efficiency, speed up decision-making, and provide more accurate, relevant, and timely information for the organization.
References
Laudon, K. C., & Laudon, J. P. (2014). Management Information Systems: Managing the Digital Firm (13th ed.). Pearson Education.
Connolly, T., & Begg, C. (2015). Database Systems: A Practical Approach to Design, Implementation, and Management (6th ed.). Pearson.
Elmasri, R., & Navathe, S. B. (2016). Fundamentals of Database Systems (7th ed.). Pearson.
Han, J., Pei, J., & Kamber, M. (2012). Data Mining: Concepts and Techniques (3rd ed.). Morgan Kaufmann.
Inmon, W. H. (2005). Building the Data Warehouse (4th ed.). John Wiley & Sons.






