Data Model

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Data Model

Data modeling is the most crucial step in database design, which is the process of creating a visual representation or a blueprint that defines the information collection and management systems of any organization. This blueprint or data model helps different stakeholders, like data analysts, scientists, and engineers, to create a unified view of the organization’s data. The model outlines what data the business collects, the relationship between different datasets, and the methods that will be used to store and analyze the data.

Raffles' Data Modeling service provides your organization with customized, business-specific solutions and will create effective data models that meet your current and evolving needs, including three main types: Conceptual Data Model, Logical Data Model, and Physical Data Model. Our experts employ both manual methodologies and tool-based to customize existing models or build new ones for enhanced business performance such as: Data Vault 2.0, IBM Banking Data Model, Kimball Data Model, Dimensional Warehouse Model, Customer Churn Model, etc.

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