FLOA is a leading online financial services company partnering with major e-retailers, travel industry players, and fintechs across Europe. As its ecosystem expanded, FLOA needed to structure its growing data environment and align its teams around shared definitions and governance practices.
To support scalable growth and reinforce a culture of data-driven decision-making, FLOA’s data department launched an initiative to centralize metadata, standardize business terminology, and empower teams with autonomous access to trusted information.
A core principle guided this transformation: a strong data culture relies on clear definitions, accessible metadata, and seamless collaboration between teams.
Challenges
FLOA’s expanding data ecosystem created several organizational and operational challenges:
- Fragmented metadata and business definitions across teams
- Limited visibility into ingestion flows and production reports
- Heavy reliance on data experts for information retrieval
- Need to upskill and align four distinct data teams
- Ensuring metadata remained accurate and up to date
- Driving company-wide adoption beyond the data department
The organization needed a single platform capable of structuring metadata end-to-end while supporting autonomy, scalability, and cultural transformation.
Why DataGalaxy
FLOA selected DataGalaxy based on three key criteria:
- Ability to centralize metadata, business terms, ingestion flows, and usage in one interconnected platform
- Customizable interface adaptable to the needs of functional teams
- Native Snowflake connector enabling automated metadata ingestion and synchronization
This combination allowed FLOA to unify its data knowledge while minimizing manual effort and ensuring continuous data freshness.
“DataGalaxy has many uses for FLOA – We document our database tables and dashboards, monitor GDPR regulation requirements, and document data files that are provided to businesses, like FAQs and scores.”
DataGalaxy implementation
FLOA structured its governance framework around four key DataGalaxy modules:
- Dictionary to centralize technical metadata
- Glossary to align teams around shared business definitions
- Processing to document ingestion and transformation flows
- Usage to map production reports and data consumption
Using the automated Snowflake connector, FLOA accelerated deployment by importing existing metadata directly into DataGalaxy. Continuous synchronization ensures that metadata remains current without additional workload for the data teams.
The implementation was supported by a strong internal adoption strategy led by a dedicated team, ensuring engagement across business and technical stakeholders.
Outcomes
With DataGalaxy, FLOA is now able to:
- Provide a complete and structured view of metadata, business terms, and reporting flows
- Reduce dependency on data experts by enabling self-service access
- Ensure metadata remains continuously updated through Snowflake synchronization
- Save time previously spent searching for information
- Strengthen collaboration and communication across teams
- Foster a company-wide data-driven culture
As a result, FLOA has created a more agile and autonomous organization, where employees can quickly find trusted information and focus on acting on insights rather than searching for answers.
Key takeaway
A scalable data culture depends on structured knowledge and autonomous access to trusted information.
By centralizing metadata and aligning teams around shared definitions, DataGalaxy enables FLOA to transform fragmented data into a collaborative, continuously updated knowledge platform — supporting faster decisions, smoother communication, and sustained growth.
