A Study on Data Quality and Analysis in Business Intelligence
摘要
Data quality is an increasingly important concern for organizations as their dependence on data to make decisions is growing. Business Intelligence methods and techniques are used by companies and institutions to collect, treat, organize, analyze, and view critical information in a structured and objective way. We present a literature review to identify approaches aimed at improving data quality to support decision-making in the context of Business Intelligence. Approaches involving data transformation, integration, and maintenance were identified, considering the specific decision-making requirements. Our review offers a comprehensive view of the latest strategies, presenting works that address issues regarding data quality and analysis.