Rebtel uses Rittman Analytics to enable them to become more data-driven

Technologies Used

Vital Stats

Website:
www.rebtel.com

Industry:
Fintech, Communications

Company size:
50-200 employees

Headquarters:
Stockholm, Sweden

THE DOWNLOAD

Based in the heart of Stockholm and with Balderton Capital and Index Ventures as principal investors, Rebtel is a tech company on a mission to create products serving the 2 billion internationals of the world, starting initially with communications and international calling and now extending to money transfer and financial services

ANALYTICS ENABLED SCALING

Rebtel were looking to invest further in their data and analytics capability, migrating existing on-premises legacy data warehouses to Snowflake and using Looker for self-service analytics. They were looking for an experienced implementation partner to lead the initial implementation and help to deliver on their wider data analytics goals.

Rittman Analytics came onboard initially to help get the project moving, reviewing and advising on platform architecture and delivery approach, working with Rebtel’s data team on data readiness and delivering the Looker dashboards in order to validate key business metrics and enable basic recency, frequency and monetary value customer segmentation.

IN THE CLIENTS OWN WORDS

Rittman Analytics has enabled us to build a modern, scalable and flexible data platform with version control, automated testing, continuous integration and continuous delivery using technology from Looker, Snowflake, Matillion and dbt. Now as we continue to build-out our own internal development capability and extend usage of Looker throughout Rebtel, we look forward to working with Rittman Analytics to help us meet our goals of increasing user adoption, scaling our analytics capability and enabling our business operations and product teams in their goals to become more data-driven.

“Rittman Analytics enabled us to increase user adoption, scale our analytics capability and become more data-driven”

Bruno Giordani
Senior BI Analyst, Rebtel

Results

Increased user adoption

Scalable data architecture

Improved project velocity

Wire Services:

Analytics Engineering Adoption Data Architecture Design Data Pipelines & Centralization Metrics Layers Operational Analytics

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