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Case Study

Unifying Data & Accelerating Growth:

How Bennett Data Science Built an AI‑Ready Analytics Backbone for Unilever Prestige Brands

‑90 % analyst time to produce monthly reports (days → minutes)

100 % KPI alignment across brands & regions—leadership now debates strategy, not numbers

Near‑real‑time insight accelerates launch, pricing and spend decisions

< 9‑month payback; 3–4× ROI projected in Year 1

Executive Snapshot

  • Client – Prestige beauty portfolio inside Unilever (brands such as Living Proof & REN Clean Skincare, with teams in the US & UK)
  • Strategic Challenge – Siloed data and manual reporting stalled decisions, hid lifetime‑value trends, and blocked the division’s AI personalisation roadmap.
  • Bennett Data Science Solution – Deployed a three‑pillar programme—Cloud Data Warehouse, Decision‑Ready Dashboards, and Customer‑&‑Product Intelligence—to create a single source of truth and self‑service analytics enterprise‑wide.
  • Enterprise Impact
    • ‑90 % analyst time to produce monthly reports (days → minutes)
    • 100 % KPI alignment across brands & regions—leadership now debates strategy, not numbers
    • Near‑real‑time insight accelerates launch, pricing and spend decisions
    • +10 pp email‑list engagement from data‑driven segmentation pilots

Client Context

Unilever Prestige is a fast‑growing collection of premium beauty brands operating in 50+ markets. Senior leadership mandated: “Unify data, speed insight and pave the way for AI‑driven personalisation—without adding headcount.”

The Strategic Challenge

Bottleneck

Business Cost

  • Siloed data across Salesforce, Shopify, Amazon, Yotpo & legacy systems
  • Conflicting reports, missed cross‑sell and upsell opportunities
  • Manual, error‑prone reporting
  • Analysts tied up for days; decisions lagged by weeks
  • No common KPI framework
  • Meetings derailed by “whose number is right?” debates
  • AI ambitions, no clean foundation
  • Segmentation & LTV modeling stuck in slide decks

Our Approach

1. Enterprise Data Infrastructure

  • Built a secure BigQuery warehouse with row‑level security for multi‑brand, multi‑region access
  • Automated ELT pipelines from all commercial & loyalty systems; historical backfill + real‑time ingestion
  • dbt‑driven testing and lineage for full auditability

2. Decision‑Ready Dashboards

  • Tableau & Looker suites for C‑suite, Marketing, Finance & R&D
  • Drill‑downs for CAC, LTV, cohort retention, basket analysis, price elasticity
  • Self‑service filters by brand, country and segment—answers in minutes, not meetings

3. Customer & Product Intelligence

  • Deep‑dive analyses to pinpoint high‑value segments, SKU affinities, churn hotspots
  • Scenario modelling to guide launch calendars and promotion budgets
  • Pilot predictive LTV and next‑best‑offer models—foundation for AI roadmap

Quantified Results

1

‑90 % analyst effort

monthly decks now built in < 1 hour
2

+100 % dashboard adoption

every leadership team trusts the same metrics
3

Unified KPIs

Finance & Marketing cut meeting prep by two days per quarter
4

+10 pp email engagement

first segmentation test post‑launch
5

< 9‑month payback; 3–4× ROI Year 1

from labour savings and smarter spend

Bennett Data Science gave us one version of the truth and the speed to act on it. We now launch, test and optimize in days—not weeks.

Global VP Data & DigitalUnilever Prestige

Why It Worked

Success Factor

  • Embedded, Not Bolted‑On – Intelligence lives inside the tools crews already use

Executive Value

  • Rapid adoption; minimal change‑management friction
  • Explainable & Auditable – Every score is traceable, satisfying regulators and internal audit
  • Trustworthy data for regulators, finance & brand leads
  • Change‑Management Light – 2‑week pilot proved value; nationwide roll‑out completed in 90 days
  • Future‑proof platform ready for AI‑driven personalization

Partner with Us

Ready to turn operational drag into bottom‑line growth?
Let’s discuss how Bennett Data Science can deliver a 3‑5× ROI for your organization.