Part 6/12:
Understanding how these sources relate, cleansing data, and deriving necessary metrics is a laborious manual process. Attributes like "cancel reasons" or "currency codes" are often encoded in ways that are hard to interpret. Without comprehensive understanding, generating accurate models and insights can take weeks or months, delaying business decision-making.
The Data Modeling Process: A Step-by-Step
The traditional process involves:
Requirements Gathering: Understanding what needs to be achieved.
Source Data Understanding: Profiling data for quality, relationships, and metadata.
Conceptual Modeling: Creating high-level business representations.
Logical Modeling: Defining detailed relationships, keys, and data structure.