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Snowflake Telecommunications London, United Kingdom

CityFibre

Data Lake / Data Warehouse Modernization

create a single, event-based data ecosystem that could bridge lines of business, integrate core SaaS systems, and support operational reporting plus ML at CityFibre’s pace of growth.

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eight lines of business with access in 18 months

Reported impact

Business outcome

CityFibre moved from one line of business using the platform to eight in 18 months while building the event-based architecture it needed for operational efficiency and future growth.

  • Productivity Improvement
  • Speed to Market

Solution

CityFibre uses Snowflake, Snowpark, and SageMaker on Snowflake to create a single, event-based data ecosystem that could bridge lines of business, integrate core SaaS systems, and support operational reporting plus ML at CityFibre’s pace of growth. Network planning, order-management, and compliance data are centralized in Snowflake so operations and data teams can work from a faster, more reliable operating view. Snowpark keeps transformation and application logic close to the governed data instead of forcing the team to move workloads into separate compute environments. 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. CityFibre moved from one line of business using the platform to eight in 18 months while building the event-based architecture it needed for operational efficiency and future growth.

Data flow

network planning, order-management, and compliance data flow into Snowflake, Snowpark, and SageMaker; curated data, reports, and model outputs are then served to operations and data teams.

Solution architecture

3 components · 2 layers
  1. Compute
    • Snowpark Runs transformations, analytics, and application logic directly where Snowflake data already lives.
    • SageMaker Runs machine learning training or inference against data prepared in Snowflake.
  2. Storage
    • Snowflake Provides the centralized data platform that stores governed datasets and serves analytics or AI workloads.

Architecture clues

  • Integrates with AWS, Salesforce, ServiceNow as part of the broader delivery workflow.
  • Operates at the scale described by metrics such as eight lines of business with access in 18 months.
  • SageMaker complements Snowflake where the team needs specialized machine-learning training or inference workflows.
  • Snowpark keeps transformation and application logic close to the governed data instead of forcing the team to move workloads into separate compute environments.

Evidence from the source

CityFibre has grown rapidly over the past few years, creating new digital infrastructure to replace the U.K.’s legacy copper networks
CityFibre moved from one line of business using the platform to eight in 18 months while building the event-based architecture it needed for operational efficiency and future growth
eight lines of business with access in 18 months
Transparency Evidence & methodology 71/100 reference value · 72% 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 value71/100
  • 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 specificity16/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence72%
  • 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 evidence15/20
    3 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 specificity8/10
    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

    CityFibre customer story

    First-party
    https://www.snowflake.com/en/customers/all-customers/case-study/cityfibre/
    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 Jul 17, 2025 · 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 Aug 3, 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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