Download our White Paper about Data Vault methodology now!
Designed to meet the challenges of agility, traceability and scalability, the Data Vault enables you to build a flexible, historicized and durable data warehouse. It’s the ideal approach for organizations operating in complex, constantly changing environments.
Learn more about it in this white paper.
Today, companies are faced with the growing complexity of their data management: a multiplication of sources, constantly evolving business needs, and increased requirements in terms of governance and traceability. Several modeling approaches coexist but quickly show their limits when it comes to reconciling agility, historization and scalability.
This is where the Data Vault comes into its own as a solid, future-proof alternative. Designed to meet the challenges of modern data environments, it enables information to be structured flexibly, while guaranteeing complete traceability of data over time.
By downloading it, you’ll benefit from:
- a clear overview of the various existing models
- a concrete explanation of the principles of Data Vault
- elements to help you make the right architectural choice
- an introduction to how beVault is supporting you in this transition
This white paper is aimed at all professionals involved in the management, architecture or enhancement of data within their organization:
- Data managers, CIOs and program directors looking to implement a robust, sustainable and scalable architecture.
- Data architects and engineers wishing to deepen or challenge their current modeling approach.
- Project and BI managers faced with reliability, governance or scalability issues.
- More generally, any team or organization wishing to regain control over its data assets and make the right choices for the future.
They trust us
Why
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beVault addresses the challenges of constant changes in business requirements and data structure. It minimizes the need for scarce resources, reduces time to deliver, and cuts high costs, all while adapting quickly to your evolving data needs in a single, efficient platform.