What is the intended outcome of effective data integration processes in DAMA-DMBOK?

The intended outcome of effective data integration processes within the DAMA-DMBOK framework is to achieve a unified view of data across various systems. Data integration refers to the combining of data from different sources to provide a consolidated view that is consistent, accurate, and actionable. This is essential because organizations often have disparate systems that store data in different formats or locations, making it challenging to derive insights or make decisions based on a holistic understanding of the data.

By integrating data, organizations can break down silos, ensuring that all parts of the organization have access to the same, authoritative source of information. This unified view enables better analysis, reporting, and decision-making, ultimately supporting business processes and objectives.

While aspects like a seamless user interface, improved storage capacities, and enhanced security protocols may be important in their own right, they do not directly represent the primary goal of data integration as outlined in the DAMA-DMBOK. The emphasis on creating a unified view emphasizes the strategic role of data integration in providing comprehensive insights into organizational data.