About the Client

The client, a leading technology company working in electrification, automation, and digitalization, had a Data Vault prototype already in place and needed recommendations to migrate it to the cloud.

Problem Statement

Seeking expert advice, our client encountered problems in collaboration approaches, technical setup, data quality, governance, change management, and methodology within their Data Vault initiative, entailing a best practice guide for improvement and efficiency to use for further implementations. Furthermore, input was needed on how to move the prototype to the cloud.

The Challenge

Some of the challenges the customer faced included:

  • Team members limited availability and junior staff seeking Data Vault 2.0 proficiency
  • Data governance issues
  • No quality guidelines
  • Lack of automation in the project
  • Use case driven approach (costly and less effective than a centralized EDW) with lack of cross-team collaboration

The Solution

The main deliverable was a report to guide the client in further Data Vault initiatives.

Key recommendations from Scalefree encompassed:

  • Implementation of a persistent staging area
  • Usage of TurboVault4dbt to integrate the organizational metadata with the enterprise data warehouse and allow for automation
  • Definition of clear data security, data privacy, and data quality strategies
  • Implementation of a shared raw data vault to allow for data sharing and eased collaboration across teams
  • Simplification of data architecture
Implementation of a persistent staging area with simplification of data architecture

Tangible Results for the Client

The review accelerated and supported solving important problems the client faced, mainly by:

  • Providing a best practices guide
  • Guiding the client through the migration process from dbt core to dbt cloud
  • Responding to questions on the Data Vault 2.0 approach
  • Supporting the company through consulting services following the review

Technologies involved

  • Oracle data sink
  • Azure
  • Amazon S3
  • Snowflake
  • Dbt core

Interested in learning more? Get the detailed case study!

Make An Appointment with Us

Profile Photo of Jürgen Dackweiler


Phone: +49 (511) 879 89342
Mobile: +49 (175) 811 0336