Analysis and Design of Data Warehousing and Business Intelligence Guidelines Using DAMA-DMBOKv2

The amount of data entered and stored separately can lead to loss of information, mixed processing from memory, and data redundancy that affects data quality. Data warehousing and business intelligence management can help improve data quality and consistency. This study aims to create guidelines for data warehousing and business intelligence management processes that can be implemented safely within a company or organization. The DAMA-DMBOK framework only defines data warehousing and business intelligence processes in general. It is required to make data warehousing and business intelligence management guidelines, including detailed steps and activities. The guidelines that have been made need to be assessed in order to measure how well the process can be implemented and relied on by the company. This research is important to make it easier for companies to improve storage quality, manage data, improve data quality, and produce reliable decisions.