About the Client

The client was a machine rental and construction equipment specialist with over 700 branches across 18 countries who wished to implement a Data Vault 2.0 Architecture.

Problem Statement

The existing data warehouse, historically grown and hard to maintain, led to efficiency problems, manifesting in:

  • High operational costs: the time-consuming maintenance of the DWH increased expenses to an unnecessary level
  • Efficiency in System Integration: Integrating source systems from multiple subsidiaries and countries
  • Slow Decision-Making: The inefficiencies led to a limited ability to make fast and effective decisions

The Challenge

The client had the following challenges addressed:

  • Team Efficiency Enhancement: Overcoming inefficiencies within the team to support the team collaboration
  • Addressing Tech Stack Knowledge: Elevating the skills of the team with the tech stack through targeted training for effective tools use
  • Foundational Modeling Practices: Setting up scalable modeling from the onset to facilitate ease integration in the future

The Solution

The client derived benefits from the following solutions:

  • Strategic guidance and project insights by an experienced data architect, merging expertise for a robust foundation
  • Implementation of Data Vault 2.0 as a standard
  • Flexibility for integrating multiple source systems and seamlessly integrating them
  • Development of a detailed use case for future utilization
  • Focus on integration for future expansions
  • Comprehensive Training and familiarization with tools and tech stack for proficiency
New Architecture with Snowflake and Coalesce

Tangible Results for the Client

The Data Vault 2.0 implementation provided the following benefits:

  • A foundational use case model that serves as a blueprint for future implementations, enabling streamlined decision-making and improved operational efficiency
  • The ability to quickly integrate new data sources from subsidiaries, rapidly adapting the data warehouse to evolving business requirements efficiently

Technologies involved

  • Coalesce
  • Snowflake
  • Fivetran

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