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GARANCE

GARANCE uses DataGalaxy to improve the overall efficiency of their data management and make knowledge accessible, while reducing the time spent searching for information.

For me, the main concrete result of implementing DataGalaxy is that I’m saving a good 3 hours a week by no longer spending time looking for answers to people’s questions. Now they log on to DataGalaxy, type in the name of the information they’re looking for, and get their answer straight away.

Olivier Miotto
Head of Data Governance and Management

DNDi Case Study

overview

GARANCE

GARANCE is a mutual insurer specializing in savings, retirement and personal protection. The company has around 350,000 customers in France, mainly craftsmen and self-employed people.

Visit their website : www.garance.com

Key info:

  • GARANCE was facing challenges related to the fragmentation of data knowledge due to multiple information systems.
  • DataGalaxy was chosen for its ergonomic interface, which met the need to streamline data governance and knowledge accessibility within GARANCE.
  • The implementation of DataGalaxy has saved the GARANCE data team around 3 hours per week per team member.

Industry: Insurance

Headquarters: France

Workforce: 250 employees

Pascal Carpentier DNDI

After launching DataGalaxy business users fully understood the benefits of the solution, and when we presented it to them, they were immediately on board. There were no worries. The interface is very intuitive. Everyone uses the search bar these days, and there were no problems getting people to use it.

Olivier Miotto
Head of Data Governance and Management

Project background and strategic challenges.

GARANCE faced three challenges before launching the data governance project. The first was managing numerous applications that collect huge amounts of data. Before embarking on data governance, staff had data from several sources:

  • 2 back-offices,
  • 3 member areas
  • a CRM
  • a technical repository
  • a data repository currently being implemented.

The second challenge was the fragmentation of knowledge within GARANCE, with several systems and different people responsible for data. This led to constant requests to the data team for information on the origin of data or the calculation of indicators.

The third challenge was to secure their knowledge. GARANCE has experts in many fields, but if these experts leave the company, retire or go on vacation, they have no back-up means of providing accurate answers. GARANCE therefore needed a centralized and easily accessible place for its data, even when the data owners were not available.

Data Catalog implementation process

GARANCE chose DataGalaxy for three main reasons:

  • An intuitive, easy-to-use interface, as it was open to all players involved in data governance at GARANCE.
  • A streamlined approach to governance, which solved their problem of having too many applications manipulating data.
  • DataGalaxy stood out from the competition, meeting GARANCE’s criteria for effective data governance and knowledge management.

To implement DataGalaxy, the data team started with a limited scope, focusing on interface management. It documented the relationships between the back office and the repository, then between the repository and the CRM. The team then documented all business rules, modifications and mappings for data communication within the information system.

Potential Data Stewards had already been identified before DataGalaxy was launched. They chose people who played a role in data manipulation, but who were not necessarily familiar with the Data Steward concept. After checking with these people and their managers that they agreed with the workload and responsibility of officially taking over the scope, they were onboarded into DataGalaxy and their Data Steward role.

To get business users on board the tool, GARANCE tried two different methods. Initially, they wanted to launch a repository tool and a governance tool at the same time. After launching this strategy, the data team realized that some users had difficulty distinguishing between the two.

Their second approach was to implement the repository first, followed by data governance. At this point, business users began to fully understand the benefits of the solution.

Results of using DataGalaxy

Time saving

Time savings of around 3 hours per week, as users no longer need to ask the data team where the information they’re looking for can be found.

Improved data accessibility

Users can quickly find answers to their questions without having to constantly refer to the data team or data stewards.

Streamlined communication

Users can now trace the origin of data and contact the people responsible directly.

Improved data management

By centralizing information and promoting a more self-service approach to data access.

The benefits of DataGalaxy according to GARANCE

  • A simple, intuitive tool for all users
  • Quick, visible benefits that business users appreciate, and that encourage adoption of the tool.
  • A tool that saves time for both data and business teams

Technology stack

MuleSoft

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

salesforce

Salesforce

Oracle offers a comprehensive and fully integrated stack of cloud applications and cloud platform services.

Oracle

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