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Snowflake Retail Berlin, Germany

RSG Group

Marketing Personalization

democratize data and personalize member journeys across a global fitness portfolio while reducing infrastructure cost and manual pipeline work.

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10x Speed to insight supports new products and timely customer interventions
20x Lower TCO compared to RSG’s previous infrastructure

Reported impact

Business outcome

RSG Group achieved 10x Speed to insight supports new products and timely customer interventions and 20x Lower TCO compared to RSG’s previous infrastructure.

  • Cost Reduction

Solution

RSG Group uses Snowflake, Cortex AI, and Power BI on Snowflake to democratize data and personalize member journeys across a global fitness portfolio while reducing infrastructure cost and manual pipeline work. Customer, product, transaction, and campaign data are centralized in Snowflake so marketing, merchandising, and customer-experience teams can work from a faster, more reliable operating view. Cortex AI adds in-platform LLM and agentic capabilities for classification, summarization, retrieval, or natural-language analytics on top of the curated data foundation. Keeping ingestion, storage, transformation, and governed access on one platform reduces handoffs, simplifies operations, and makes it easier to reuse trusted data across analytics, reporting, and AI. RSG Group achieved 10x Speed to insight supports new products and timely customer interventions and 20x Lower TCO compared to RSG’s previous infrastructure.

Data flow

customer, product, transaction, and campaign data flow into Snowflake, Cortex AI, and Power BI; curated data, reports, and model outputs are then served to marketing, merchandising, and customer-experience teams.

Solution architecture

3 components · 3 layers
  1. Compute
    • Cortex AI Provides in-platform AI functions used for summarization, classification, generation, or model-assisted analysis.
  2. Storage
    • Snowflake Provides the centralized data platform that stores governed datasets and serves analytics or AI workloads.
  3. Serving
    • Power BI Provides dashboards and self-service analytics backed by Snowflake data.

Architecture clues

  • Cortex AI adds in-platform LLM and agentic capabilities for classification, summarization, retrieval, or natural-language analytics on top of the curated data foundation.
  • Integrates with Azure as part of the broader delivery workflow.
  • Operates at the scale described by metrics such as 10x Speed to insight supports new products and timely customer interventions.
  • Power BI extends the Snowflake foundation to self-service reporting and departmental decision support.

Evidence from the source

10x Speed to insight supports new products and timely customer interventions
20x Lower TCO compared to RSG’s previous infrastructure
Providing insights into every brand with a single source of truth Historically, RSG Group’s data organization only reported on top-level KPIs to the business leaders that needed them
RSG Group achieved 10x Speed to insight supports new products and timely customer interventions and 20x Lower TCO compared to RSG’s previous infrastructure
RSG Group doubled its data use on Snowflake, building a high-performance foundation for lower costs, faster insights and truly personalized fitness journeys
Transparency Evidence & methodology 100/100 reference value · 79% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence79%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Snowflake

    RSG Group customer story

    First-party
    https://www.snowflake.com/en/customers/all-customers/case-study/rsg-group/
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived Apr 9, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source
  • Sitemap last modified Jul 9, 2026 · Snowflake · Publisher metadata Publisher-reported modification timestamp; not a publication date.
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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