In simple terms, data management is like organizing and refining information to make it useful for decision-making.
First, **data loading** involves gathering raw data from various sources. Next, **data quality and cleansing** ensure the data is
accurate and free of errors by fixing or removing incorrect entries. Then, the **Operational Data Store (O.D.S.)** acts as a temporary
holding area where data is standardized and prepared for analysis. Afterward, **data visualization** transforms this refined
data into easy-to-understand charts and graphs, providing clear insights. Finally, **AI (Artificial Intelligence)** uses these insights to
predict future trends or automate decisions, adding advanced intelligence to the process. This step-by-step approach
ensures that businesses can make informed, data-driven decisions efficiently.