The top-down methodology in data warehousing starts with the development of a centralized data model that spans the entire organization prior to constructing individual data marts. This model intends to assimilate data from multiple sources into a unified repository, from which targeted departmental data marts are subsequently created.

NuSummit utilizes a top-down strategy for data warehousing, beginning with the overarching business objectives and subsequently crafting the data warehouse schema. This strategic approach guarantees that the data architecture is aligned with analytical needs. It emphasizes the development of a holistic, integrated perspective of organizational data, facilitating the extraction of insights for business intelligence.