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.
Overview
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.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.
The Data Knowledge 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
Improved data accessibility
Streamlined communication
Improved data management
The benefits of DataGalaxy according to GARANCE
- A simple, intuitive tool for all.
- 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
Salesforce
Oracle