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Microsoft Consumer Goods United Kingdom

PZ Cussons International

Data Lake / Data Warehouse Modernization · Enterprise Knowledge Search · Real-time Analytics

The company wanted to unify its data and provide a comprehensive analytics solution to improve operations.

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Reported impact

Business outcome

PZ Cussons transforms data analytics with Microsoft Fabric, improving decision-making and efficiency

  • Productivity Improvement
  • Revenue Growth
  • Scalability
  • Speed to Market

Solution

PZ Cussons International, a Consumer Goods organization in United Kingdom, modernized this data lake / data warehouse modernization workload with Microsoft Fabric, Azure Databricks, Azure Data Factory, and Microsoft Copilot. The company wanted to unify its data and provide a comprehensive analytics solution to improve operations. Microsoft Fabric unifies data engineering, storage, analytics, and BI on a shared data platform. Azure Databricks processes, engineers, and analyzes data workloads on scalable Spark infrastructure. Azure Data Factory orchestrates data movement and transformation pipelines between operational and analytical systems. PZ Cussons International connects approved internal data sources into Microsoft 365 services, grounds responses through Azure Databricks, and serves generated answers and drafts back to users through Microsoft Fabric. Uses a shared Microsoft Fabric data foundation for analytics and reporting workloads.

Data flow

PZ Cussons International connects approved internal data sources into Microsoft 365 services, grounds responses through Azure Databricks, and serves generated answers and drafts back to users through Microsoft Fabric.

Solution architecture

4 components · 4 layers
  1. Ingest
    • Azure Data Factory orchestrates data movement and transformation pipelines between operational and analytical systems.
  2. Compute
    • Azure Databricks processes, engineers, and analyzes data workloads on scalable Spark infrastructure.
  3. Storage
    • Microsoft Fabric unifies data engineering, storage, analytics, and BI on a shared data platform.
  4. Serving
    • Microsoft Copilot adds a conversational AI layer that helps staff search, summarize, and generate work products inside Microsoft applications.

Architecture clues

  • Uses a shared Microsoft Fabric data foundation for analytics and reporting workloads.

Evidence from the source

Azure Data Factory
PZ Cussons deployed Microsoft Fabric and Azure Databricks to ingest and harmonize data from various sources, providing accurate sales, market share, and price data for an initial use case, Revenue Growth Management.
PZ Cussons transforms data analytics with Microsoft Fabric, improving decision-making and efficiency
The company wanted to unify its data and provide a comprehensive analytics solution to improve operations.
To grow smartly and sustainably, businesses must have a profound understanding of customers—and this begins with data. International hygiene, baby, and beauty consumer goods company PZ Cussons is dedicated to the wellbeing of people, and to better serve them, the company needed to know customers more completely. Facing data and analytics challenges, PZ Cussons explored technologies to eliminate data silos, improve data quality, and move teams from reliance on manual processes and offline reports to a centralized data platform.
Transparency Evidence & methodology 70/100 reference value · 87% 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 value70/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    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 impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • 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 provenance10/10
    The publication date comes from the source page or publisher.
  • 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. Microsoft

    PZ Cussons International customer story

    First-party
    https://www.microsoft.com/en/customers/story/20028-pz-cussons-international-microsoft-fabric
    Source type
    Vendor-published customer story
    Published
    Dec 5, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Dec 5, 2024 · Microsoft · First-party
    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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