Retail Management

    Integrated Retail Master Data Model

    One verified dataset. Every retail source connected.

    Built for accuracy. Designed for speed.

    The data foundation every retail decision should rest on.

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    Integrated Retail Master Data Model
    Challenge

    Why Retail Data Is So Often Broken

    Most retailers operate on fragmented, unverified data — and make million-euro decisions on top of it.

    Data Silos Everywhere

    ERP lives in one system, marketing data in another, web analytics in a third. Each team works from their own extract, their own version of the truth — leading to conflicting numbers and wasted hours reconciling reports instead of acting on them.

    No Single Source of Truth

    When the finance team's revenue number doesn't match the ecommerce team's, trust in data collapses. Without a single verified master dataset, even the most capable analysts spend most of their time firefighting data quality instead of generating insight.

    Garbage In, Garbage Out

    Most automation projects fail not because of bad logic — but because of bad input data. Pricing algorithms, bidding tools and forecasters built on inconsistent source data will consistently produce wrong outputs, no matter how sophisticated the model.

    Every New Tool Starts from Scratch

    Each time a new analytics or automation tool is added, the same data connections need to be rebuilt — with slightly different logic, slightly different definitions. Without a master model, the data stack becomes increasingly brittle and expensive to maintain.

    Solution

    One Model. All Your Retail Data.

    We design and build a standardised, verified omni-channel retail data model — so every team, tool and automation works from the same foundation.

    All Sources, One Schema

    We connect your ERP, ecommerce platform, marketing channels, WMS and web analytics into a single standardised schema — designed from the ground up for retail.

    Drawing on dozens of successful implementations, we know exactly which fields to pull, how to normalise them and where the edge cases hide.

    The result: your marketing, sales, stock and web data available in one place, refreshed daily, with consistent definitions across every report.

    GA4
    SAP
    Google Sheets
    Shopify
    Google Ads
    Abra
    Magento
    Shoptet
    Excel
    Data quality and verification layer

    Built-In Data Quality

    A model is only as good as the data flowing through it. Every layer of our model includes validation logic — flagging anomalies, missing values and reconciliation errors before they reach your dashboards.

    We define shared business logic centrally: what counts as a sale, how returns are handled, how marketing cost is attributed — so every downstream tool agrees.

    Your team stops arguing about numbers and starts acting on them.

    The Foundation for Everything Else

    • Plug-and-play ready for all RAS automation modules — no re-integration needed.
    • Consistent KPI definitions shared across finance, marketing and operations.
    • Daily data freshness with automated pipeline monitoring and alerting.
    • Scalable schema that grows with your catalogue, channels and markets.
    • Full documentation so your team understands and owns the model.
    Retail data warehouse architecture

    Build on Solid Ground

    Every automation, every AI feature, every strategic decision your business makes — starts with the right data model. Let's build yours.

    Gen AI Strategy: Talk to Your Data

    Interfaces that connect Large Language Models (LLMs) directly to your unified data model.

    Context-Aware AI Agents