CANAL+

CANAL+ uses DataGalaxy to optimize data management, improve team efficiency, and meet regulatory compliance requirements.

We chose DataGalaxy for several reasons. Firstly, it’s easy to use and implement – It was the solution that came out number one with our users. Secondly, it’s a full SaaS solution.

Marc Di Vietri
CANAL+ Team Leader for Data (France and International)

DNDi Case Study

customer overview

CANAL+

CANAL+ is an international media group founded in 1984. Present in 50 countries, CANAL+ provides content to more than 25 million subscribers.

Visit their website: https://www.canalplus.com/

Key info:

  • CANAL+ was facing difficulties with under-utilized or poorly exploited data and the collection of a large volume of customer data
  • They chose DataGalaxy for our ease of use, and their users preferred using DataGalaxy over other options
  • After implementing DataGalaxy, CANAL+ noted time savings, improved team onboarding, and the ability to localize sensitive data to ensure regulatory compliance

Industry: Media

Headquarters: France

Workforce: 8,000 employees

Financials:  €5.87 billion (2022)

Pascal Carpentier DNDI

We chose DataGalaxy to provide us with a common repository that will enable us to better understand data, to know where it comes from, how it is transformed, how it is made available, and all this through a collaborative platform that will enable us to create, share and ensure that we have a common vocabulary across the company’s data.

Bruno Dahyot
Data Analyst

Project context & strategic challenges

Faced with increasingly stringent regulations such as GDPR and CNIL and under-exploited data, CANAL+ was looking for a streamlined data catalog tool.

One of their main objectives was to remove data silos among their various teams. They wanted to have a common repository to better understand data, its source, transformation, and how it is used throughout the company.

CANAL+ chose DataGalaxy for several reasons:

  • It’s a simple, user-friendly solution that’s easy to implement
  • It was the no.1 choice among their users
  • It’s a 100% SaaS solution with rapid implementation 

The CANAL+ Data Knowledge Catalog

Canal+ adopted a proof of concept(POC) project approach to plan interviews and gather all the needs of the company’s various potential contributors and stakeholders. The CANAL+ POC was then divided into four phases:

  1. Retrieving metadata from their database to feed their Data Dictionary
  2. A set of scripts was written to feed the processing module
  3. Data retrieval using a Power BI connector to feed the usage module
  4. Populating the Business Glossary using an internal team approach 

Results of using DataGalaxy

 

Time saved for business teams

CANAL+’s teams can find exactly the information they need when they need it

 

Time saved for data teams

DataGalaxy is directly connected to CANAL+’s data stack and provides automatic metadata retrieval, so their data is always reliable and up-to-date

 

Team onboarding

Faced with a high turnover of data analysts and developers, having a complete catalog of data makes it easier to onboard teams and increase their skills on all CANAL+ data

 

Storage of sensitive data

DataGalaxy enables CANAL+ users to pinpoint the precise location of sensitive data such as usage data or the personal data of authorized contacts

Why Canal+ loves DataGalaxy

  • DataGalaxy provides a framework for better and more efficient data and metadata management
  • DataGalaxy is a full SaaS solution that’s easy to deploy: CANAL+’s first use case was implemented in less than three months
  • DataGalaxy is extremely user-friendly for business teams, facilitating internal adoption

Marc Di Vietri
CANAL+ Team Leader – Data (France and International)

“My advice for a successful approach is to involve business users throughout the project – At the selection stage, when the DataGalaxy solution is chosen, and throughout the project process right up to the deployment of the solution.”

CANAL+’s technology stack

Together, DataGalaxy’s Data Knowledge Catalog and Snowflake help easily import your existing data sets to receive intuitive insights with our powerful, all-in-one data management platform

Snowflake

Power BI

Informatica is an Enterprise Cloud Data Management leader that brings data to life by empowering businesses to realize the transformative power of their data.

Informatica

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed platforms.

Amazon Redshift

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