Datum for retail.
Datum accelerates the deployment of the data operating model in retail — with a customer Golden Record, a product model aligned with GS1/GTIN and multi-brand federated governance ready for distributed operations.
Retail data is abundant. The problem is that it is not connected or coherent.
Physical store, ecommerce, app, loyalty programme, call centre — every channel produces its own version of the customer. Without a common data model, a single customer view is a goal that is never achieved.
Each channel keeps its own product sheet, with slightly different attributes, images and descriptions. Without a common product model aligned with sector standards (GS1/GTIN), cross-channel reconciliation is a permanent manual effort.
Operations, finance and marketing produce different versions of the same sales metrics. The committee debate is about which number is right, not which decision to make.
Stockouts, excess inventory and forecasting errors originate from demand, stock and supplier data that is neither integrated nor governed. The cost hits margin directly.
Every new brand or market multiplies complexity if there is no federated data governance model. The platform grows in silos and operating cost rises out of control.
Four layers. One source of truth on customer, product and channel.
DATUM in retail isn't a BI project nor an ERP refactor. It's a data model that separates operational sources, governed data and consumption, with the sector's Common Data — Customer, GS1 Product, Order, Assortment — modeled from day one.
Notes on the architecture
The core retail entities (customer, product, order, assortment, promotion) are modeled from day one aligned with GS1/GTIN. There's no intermediate translation between a generic CDM and retail semantics. Integration with marketplaces, ECR/EDI and data pools is direct.
Customer data lives in e-commerce, ERP, loyalty, CRM and POS. DATUM builds the Golden Record without migrating anything: it identifies, links and certifies the reference version while respecting operational sources. Marketing, loyalty and customer service work on the same data without forcing artificial syncs.
Governance is federated by brand, country or commercial format. Each unit keeps its operational autonomy but shares the common model. Corporate consolidation stops depending on reconciliation spreadsheets.
What DATUM covers, what it partially aligns with and what stays out of scope.
An honest table. Retail handles sensitive personal data (GDPR/LSSI), regulated product information (labelling, traceability), financial reporting (IFRS 15) and emerging sustainability obligations (EUDR). We say it in green, amber and grey.
Full coverage
DATUM provides governed data and the necessary traceability without external components.
Partial coverage
DATUM provides the governed data foundation; operational compliance depends on client's systems and processes.
Out of scope
Functions DATUM doesn't perform that should be explicitly stated to avoid scope misunderstandings.
GS1 as the common vocabulary of global retail.
Retail is global by nature: the same product crosses countries, brands, channels and marketplaces. GS1 (with GTIN, GLN, GPC) is the standard that allows unequivocal identification of product, location and category. DATUM activates it from day one.
Why GS1 is the foundation, not an annex
Defines standardized entities — Product, Location, Category, Lot, Asset, Document — recognized by any supplier, marketplace or regulator. No translations, no parallel glossaries.
GTIN for product, GLN for location, SSCC for shipment, GPC for category. Manufacturer → distributor → store → end customer traceability is native and verifiable.
AECOC Data, GS1 GDSN, Amazon, Carrefour Marketplace, Mirakl. Catalogue synchronization and attribute quality require no intermediate translation.
European frameworks (EUDR, Digital Product Passport, origin labelling) are built on GS1. Starting with GS1 is starting ready for what's coming.
Functional areas covered by the model
The core areas of the retail model that DATUM activates from day one. Each with its canonical model, certified attributes and connection to operational systems.
Data capabilities designed for the retail context.
Customer identity architecture that unifies every touchpoint into a governed canonical entity, with merge rules, quality and change traceability.
Canonical product entity with full lifecycle (launch, variant, promotion, end of life) and attributes aligned with GS1/GTIN to enable interoperability with suppliers, marketplaces and logistics partners.
Definition, ownership and lineage of critical retail indicators: sales, average ticket, conversion, stock rotation, margin per channel — with one single version for the whole organisation.
Corporate data model with autonomy per brand or domain. Each unit operates its own data but shares semantics, policies and corporate standards.
Automation of ingestion, quality and publication circuits for sales, stock and demand data to reduce operational latency and eliminate critical manual processes.
Federated governance and DATUM in a restaurant group.
Accelerate Datum in your retail group.
An initial assessment identifies the starting point, pilot domain and deployment model that fit best.