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.
Über den Kunden
Problemstellung
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
Die Herausforderung
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
Die Lösung
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
Konkrete Ergebnisse für den Kunden
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
Beteiligte Technologien
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- Snowflake
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