
SUCCESS STORY — FLOA
FLOA — A Data platform reviewed and brought back to the state of the art
As one of the French leaders in payment solutions and a subsidiary of BNP Paribas, FLOA entrusted KPC with the review of its Snowflake Data platform, followed by the implementation of the recommendations: scheduling with Airflow, data quality with SODA, and support for the teams.



The data impact
1
KPC Employee
15+
FLOA Stakeholders
8
Workshops
2
Publishers directly involved

The data impact
1
KPC Employee
15+
FLOA Stakeholders
8
Workshops
2
Publishers directly involved

The data impact
1
KPC Employee
15+
FLOA Stakeholders
8
Workshops
2
Publishers directly involved
RESULTS
Three concrete results for the Data FLOA platform

A revised Data platform, at the state of the art according to FLOA practices
Ingestion, scheduling, data quality, CI/CD, and team processes reviewed to enable FLOA to choose its redesigned architecture.
Three concrete results for the Data FLOA platform

Airflow and SODA in place for scheduling and data quality
Two complementary solutions deployed with their first use cases, and Data teams supported in getting to grips with them.
Three concrete results for the Data FLOA platform

Securing the IT Migration
A state-of-the-art Data platform to smoothly approach the IT system migration.
RESULTS
Three concrete results for the Data FLOA platform

A revised Data platform, at the state of the art according to FLOA practices
Ingestion, scheduling, data quality, CI/CD, and team processes reviewed to enable FLOA to choose its redesigned architecture.
Three concrete results for the Data FLOA platform

Airflow and SODA in place for scheduling and data quality
Two complementary solutions deployed with their first use cases, and Data teams supported in getting to grips with them.
Three concrete results for the Data FLOA platform

Securing the IT Migration
A state-of-the-art Data platform to smoothly approach the IT system migration.
RESULTS
Three concrete results for the Data FLOA platform

A revised Data platform, at the state of the art according to FLOA practices
Ingestion, scheduling, data quality, CI/CD, and team processes reviewed to enable FLOA to choose its redesigned architecture.
Three concrete results for the Data FLOA platform

Airflow and SODA in place for scheduling and data quality
Two complementary solutions deployed with their first use cases, and Data teams supported in getting to grips with them.
Three concrete results for the Data FLOA platform

Securing the IT Migration
A state-of-the-art Data platform to smoothly approach the IT system migration.

Context & central challenges
Les enjeux
FLOA, one of the French leaders in payment solutions, a subsidiary of the BNP Paribas group
FLOA provides consumers with split payments, mini-credits, bank cards, and insurance. Operating in 5 European countries (France, Spain, Italy, Portugal, Belgium), the company is a partner to more than 15,000 e-merchants and points of sale, and was elected Customer Service of the Year for the 4th consecutive year in 2024.
In 2019, FLOA launched a major corporate project to build its new Data platform, relying on Talend, Snowflake, Tableau, DataGalaxy, and Dataiku. Within 3 years, this platform achieved real success and experienced extremely strong growth in its usage, leading the Data Factory, BI & Data Analytics teams to reflect on its performance.
FLOA wishes to remain at the state of the art of Data platforms based on its usage, in order to secure its IT system migration and be ready to address innovative topics around AI for Data and business lines.

Capitalize on the good practices already in place and start those that are missing

Remaining at the state of the art of Data platforms according to FLOA's use cases

Secure the ongoing IT migration

Be ready to address innovative topics around AI for Data and businesses

Context & central challenges
Les enjeux
FLOA, one of the French leaders in payment solutions, a subsidiary of the BNP Paribas group
FLOA provides consumers with split payments, mini-credits, bank cards, and insurance. Operating in 5 European countries (France, Spain, Italy, Portugal, Belgium), the company is a partner to more than 15,000 e-merchants and points of sale, and was elected Customer Service of the Year for the 4th consecutive year in 2024.
In 2019, FLOA launched a major corporate project to build its new Data platform, relying on Talend, Snowflake, Tableau, DataGalaxy, and Dataiku. Within 3 years, this platform achieved real success and experienced extremely strong growth in its usage, leading the Data Factory, BI & Data Analytics teams to reflect on its performance.
FLOA wishes to remain at the state of the art of Data platforms based on its usage, in order to secure its IT system migration and be ready to address innovative topics around AI for Data and business lines.

Capitalize on the good practices already in place and start those that are missing

Remaining at the state of the art of Data platforms according to FLOA's use cases

Secure the ongoing IT migration

Be ready to address innovative topics around AI for Data and businesses

Context & central challenges
Les enjeux
FLOA, one of the French leaders in payment solutions, a subsidiary of the BNP Paribas group
FLOA provides consumers with split payments, mini-credits, bank cards, and insurance. Operating in 5 European countries (France, Spain, Italy, Portugal, Belgium), the company is a partner to more than 15,000 e-merchants and points of sale, and was elected Customer Service of the Year for the 4th consecutive year in 2024.
In 2019, FLOA launched a major corporate project to build its new Data platform, relying on Talend, Snowflake, Tableau, DataGalaxy, and Dataiku. Within 3 years, this platform achieved real success and experienced extremely strong growth in its usage, leading the Data Factory, BI & Data Analytics teams to reflect on its performance.
FLOA wishes to remain at the state of the art of Data platforms based on its usage, in order to secure its IT system migration and be ready to address innovative topics around AI for Data and business lines.

Capitalize on the good practices already in place and start those that are missing

Remaining at the state of the art of Data platforms according to FLOA's use cases

Secure the ongoing IT migration

Be ready to address innovative topics around AI for Data and businesses
Our approach
From the architecture review to the deployment of recommendations
KPC conducted the mission in two phases: a comprehensive review of the Data platform, informed by workshops with the publishers, followed by the implementation of the recommendations selected by FLOA.

Review & Diagnosis
Review and optimization of the Data platform
Definition of the review's objectives: ingestion, scheduling, data quality, CI/CD, and team processes. Workshops and feedback sessions (REX) with editors and KPC consultants, presentation of client case studies and tools to enable FLOA to choose its revised architecture.

Recommendations
Organizational and technological recommendations
Concrete areas for improvement, from the reorganization of the Data Engineering team to the implementation of new solutions.

Deployment & Support
Implementation of recommendations
Definition and implementation of an orchestration solution (Airflow) and a data quality solution (SODA), with support on deployment and the first use cases. Acculturation of FLOA's Data teams to new tools and new capabilities of Snowflake, notably through the organization of a Snowday.
Our approach
From the architecture review to the deployment of recommendations
KPC conducted the mission in two phases: a comprehensive review of the Data platform, informed by workshops with the publishers, followed by the implementation of the recommendations selected by FLOA.

Review & Diagnosis
Review and optimization of the Data platform
Definition of the review's objectives: ingestion, scheduling, data quality, CI/CD, and team processes. Workshops and feedback sessions (REX) with editors and KPC consultants, presentation of client case studies and tools to enable FLOA to choose its revised architecture.

Recommendations
Organizational and technological recommendations
Concrete areas for improvement, from the reorganization of the Data Engineering team to the implementation of new solutions.

Deployment & Support
Implementation of recommendations
Definition and implementation of an orchestration solution (Airflow) and a data quality solution (SODA), with support on deployment and the first use cases. Acculturation of FLOA's Data teams to new tools and new capabilities of Snowflake, notably through the organization of a Snowday.
Our approach
From the architecture review to the deployment of recommendations
KPC conducted the mission in two phases: a comprehensive review of the Data platform, informed by workshops with the publishers, followed by the implementation of the recommendations selected by FLOA.

Review & Diagnosis
Review and optimization of the Data platform
Definition of the review's objectives: ingestion, scheduling, data quality, CI/CD, and team processes. Workshops and feedback sessions (REX) with editors and KPC consultants, presentation of client case studies and tools to enable FLOA to choose its revised architecture.

Recommendations
Organizational and technological recommendations
Concrete areas for improvement, from the reorganization of the Data Engineering team to the implementation of new solutions.

Deployment & Support
Implementation of recommendations
Definition and implementation of an orchestration solution (Airflow) and a data quality solution (SODA), with support on deployment and the first use cases. Acculturation of FLOA's Data teams to new tools and new capabilities of Snowflake, notably through the organization of a Snowday.
Our clients
Our clients
They trust us.
They trust us.











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Finance & Banking
FLOA — A Data platform reviewed and brought back to the state of the art
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Snowflake
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OneStream
Statutory consolidation
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Car financing
Toyota Financial Services|170,000 customers, 100% automated customer journeys on imagino
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International public sector
CEB|ERP transformation on SAP Cloud, at the service of social cohesion
SAP
ERP
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Retail & Beauty
Rag & Bone — Data platform optimization and preparation for AI use cases
Data
Data Platform
→

Retail & Beauty
Marc Jacobs — Redesign of the data foundation in the midst of ERP transformation
Data
Data Platform
→

Finance & Banking
FLOA — A Data platform reviewed and brought back to the state of the art
Finance & Banking
Snowflake
→

Maritime transport
CMA CGM | A single OneStream platform to consolidate, budget, and steer
OneStream
Statutory consolidation
→

Car financing
Toyota Financial Services|170,000 customers, 100% automated customer journeys on imagino
CRM
Snowflake
→

International public sector
CEB|ERP transformation on SAP Cloud, at the service of social cohesion
SAP
ERP
→

Retail & Beauty
Rag & Bone — Data platform optimization and preparation for AI use cases
Data
Data Platform
→

Retail & Beauty
Marc Jacobs — Redesign of the data foundation in the midst of ERP transformation
Data
Data Platform
→

Finance & Banking
FLOA — A Data platform reviewed and brought back to the state of the art
Finance & Banking
Snowflake
→

Maritime transport
CMA CGM | A single OneStream platform to consolidate, budget, and steer
OneStream
Statutory consolidation
→

Car financing
Toyota Financial Services|170,000 customers, 100% automated customer journeys on imagino
CRM
Snowflake
→

International public sector
CEB|ERP transformation on SAP Cloud, at the service of social cohesion
SAP
ERP
→

A DATA OPTIMIZATION PROJECT IN MIND?
A Data platform to optimize to secure your uses?
KPC supports you in the review, optimization, and security of your Data platform, right through to the implementation of your recommendations.

A DATA OPTIMIZATION PROJECT IN MIND?
A Data platform to optimize to secure your uses?
KPC supports you in the review, optimization, and security of your Data platform, right through to the implementation of your recommendations.

A DATA OPTIMIZATION PROJECT IN MIND?
A Data platform to optimize to secure your uses?
KPC supports you in the review, optimization, and security of your Data platform, right through to the implementation of your recommendations.