SUCCESS STORY — RAG & BONE
Rag & Bone — Data platform optimization and AI readiness
New York premium fashion brand Rag & Bone has entrusted KPC Canada with the optimization of its data platform: deploying a Supply Chain datamart and a semantic layer, creating a foundation ready for AI.
The data impact
3
redesigned domains
sales, inventory, finance
1
optimized Supply Chain
datamart
1
agnostic semantic
layer
AI-ready
foundation ready for
future AI projects
The data impact
3
redesigned domains
sales, inventory, finance
1
optimized Supply Chain
datamart
1
agnostic semantic
layer
AI-ready
foundation ready for
future AI projects
The data impact
3
redesigned domains
sales, inventory, finance
1
optimized Supply Chain
datamart
1
agnostic semantic
layer
AI-ready
foundation ready for
future AI projects
RESULTS
Three concrete benefits for Rag & Bone
Reduced and better controlled costs
Reduction and better control of data platform costs.
Three concrete benefits for Rag & Bone
Simplified maintenance of KPIs and business rules
The calculation rules for key indicators are easier to maintain and evolve.
Three concrete benefits for Rag & Bone
Analytical performance improved
More powerful analysis and reporting, built on a reliable, scalable data foundation that is ready for future AI projects.
RESULTS
Three concrete benefits for Rag & Bone
Reduced and better controlled costs
Reduction and better control of data platform costs.
Three concrete benefits for Rag & Bone
Simplified maintenance of KPIs and business rules
The calculation rules for key indicators are easier to maintain and evolve.
Three concrete benefits for Rag & Bone
Analytical performance improved
More powerful analysis and reporting, built on a reliable, scalable data foundation that is ready for future AI projects.
RESULTS
Three concrete benefits for Rag & Bone
Reduced and better controlled costs
Reduction and better control of data platform costs.
Three concrete benefits for Rag & Bone
Simplified maintenance of KPIs and business rules
The calculation rules for key indicators are easier to maintain and evolve.
Three concrete benefits for Rag & Bone
Analytical performance improved
More powerful analysis and reporting, built on a reliable, scalable data foundation that is ready for future AI projects.
Context & central challenges
Les enjeux
Founded in New York in 2002, Rag & Bone is an American fashion brand positioned in the premium segment. It is distinguished by a balance of artisan heritage, demanding quality standards, and creative innovation, with an international presence and omnichannel sales channels.
In a context of growth and fine-tuned performance management (sales, inventory, supply chain), the brand relies heavily on data to monitor its key indicators, optimize its operations, and support its strategic decision-making.
However, the rapid growth in data volumes and the diversity of analytical uses highlighted the limitations of the existing platform in terms of cost, maintainability, and performance.
Regaining control of the operational costs of the data platform
Simplify the maintenance of key indicator calculation rules
Speed up loading and reporting for business teams
Reliability and structuring of a scalable foundation, ready for future AI use cases
Context & central challenges
Les enjeux
Founded in New York in 2002, Rag & Bone is an American fashion brand positioned in the premium segment. It is distinguished by a balance of artisan heritage, demanding quality standards, and creative innovation, with an international presence and omnichannel sales channels.
In a context of growth and fine-tuned performance management (sales, inventory, supply chain), the brand relies heavily on data to monitor its key indicators, optimize its operations, and support its strategic decision-making.
However, the rapid growth in data volumes and the diversity of analytical uses highlighted the limitations of the existing platform in terms of cost, maintainability, and performance.
Regaining control of the operational costs of the data platform
Simplify the maintenance of key indicator calculation rules
Speed up loading and reporting for business teams
Reliability and structuring of a scalable foundation, ready for future AI use cases
Context & central challenges
Les enjeux
Founded in New York in 2002, Rag & Bone is an American fashion brand positioned in the premium segment. It is distinguished by a balance of artisan heritage, demanding quality standards, and creative innovation, with an international presence and omnichannel sales channels.
In a context of growth and fine-tuned performance management (sales, inventory, supply chain), the brand relies heavily on data to monitor its key indicators, optimize its operations, and support its strategic decision-making.
However, the rapid growth in data volumes and the diversity of analytical uses highlighted the limitations of the existing platform in terms of cost, maintainability, and performance.
Regaining control of the operational costs of the data platform
Simplify the maintenance of key indicator calculation rules
Speed up loading and reporting for business teams
Reliability and structuring of a scalable foundation, ready for future AI use cases
Our approach
A redesigned data foundation, from the warehouse to the semantic layer
From Montreal, KPC Canada redesigned Rag & Bone's data platform to reduce its costs, simplify its maintenance, and prepare for AI uses.
Migration & Architecture
Warehouse redesign and migration to Oracle
Redesign of the sales, inventory, and finance data warehouse, and migration of the data platform from Azure SQL to Oracle.
Semantic layer
An agnostic semantic layer
Market research followed by the implementation of an agnostic semantic layer, independent of the underlying technologies.
Our approach
A redesigned data foundation, from the warehouse to the semantic layer
From Montreal, KPC Canada redesigned Rag & Bone's data platform to reduce its costs, simplify its maintenance, and prepare for AI uses.
Migration & Architecture
Warehouse redesign and migration to Oracle
Redesign of the sales, inventory, and finance data warehouse, and migration of the data platform from Azure SQL to Oracle.
Semantic layer
An agnostic semantic layer
Market research followed by the implementation of an agnostic semantic layer, independent of the underlying technologies.
Our approach
A redesigned data foundation, from the warehouse to the semantic layer
From Montreal, KPC Canada redesigned Rag & Bone's data platform to reduce its costs, simplify its maintenance, and prepare for AI uses.
Migration & Architecture
Warehouse redesign and migration to Oracle
Redesign of the sales, inventory, and finance data warehouse, and migration of the data platform from Azure SQL to Oracle.
Semantic layer
An agnostic semantic layer
Market research followed by the implementation of an agnostic semantic layer, independent of the underlying technologies.
Our clients
Our clients
They trust us.
They trust us.
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
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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
→
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 FOUNDATION TO PREPARE FOR AI?
A data platform that is too expensive to maintain?
KPC accompanies you to optimize your data platform, control its costs, and prepare for your future AI usages.
A DATA FOUNDATION TO PREPARE FOR AI?
A data platform that is too expensive to maintain?
KPC accompanies you to optimize your data platform, control its costs, and prepare for your future AI usages.
A DATA FOUNDATION TO PREPARE FOR AI?
A data platform that is too expensive to maintain?
KPC accompanies you to optimize your data platform, control its costs, and prepare for your future AI usages.