Infrastructure

Data Architecture

We define the structure that lets the business understand the same data in the same way: business -> entities -> relationships -> identifiers -> ownership -> rules -> systems.

Unified Systems

Data Architecture

business data modeldata infrastructure

EUR 50/hour

Request a data architecture estimate.

Complementary products

Data Synchronization & Processing API & Systems Integration Internal Dashboards & Reporting Internal Applications Process Automation

Owns data structure and responsibility; does not replace Data Sync, API/CRM Integration, CRM Implementation, Dashboards, Internal Applications, Custom Software, Process Automation or Web Data Collection.

01PRODUCT READER

First screen

We define the structure that lets the business understand the same data in the same way: business -> entities -> relationships -> identifiers -> ownership -> rules -> systems. EUR 50/hour. CTA: Request a data architecture estimate.

02PRODUCT READER

What problem does it solve?

Customers/leads/orders defined differently, incompatible IDs, reports with conflicting definitions, duplicates, unclear relationships, systems overwriting each other and projects recreating rules from scratch.

03PRODUCT READER

What is Data Architecture?

Defines how information is structured, related, identified, stored, owned and used at conceptual, logical and physical/technical levels where required.

04PRODUCT READER

What you receive

Data/system inventory, entity/relationship/conceptual/logical/database model, identifiers/key strategy, source-of-truth/system-of-record, ownership, naming, definitions/data dictionary, lifecycle/history/validation/data-quality rules, data contracts, security principles, docs and recommendations.

05PRODUCT READER

How we work and commercial model

Business/use cases -> systems/data inventory -> entities/relations -> IDs -> source of truth/ownership -> fields/types/values -> lifecycle/history -> validation/quality -> data contracts -> technical model -> real scenarios -> docs. EUR 50/hour.

06PRODUCT READER

What we do not do and what we do not promise

Do not start from the tool, create purposeless entities/duplication, choose DB before requirements, leave source of truth ambiguous or automatically include warehouse/sync/dashboard/app/migration. No zero duplicates/errors, infinite scale or universal future compatibility guarantee.

07PRODUCT READER

FAQ, complementary components and CTA

Design/reorganize data models/databases, source of truth, IDs, dictionary and relationships. Sync/API/Dashboard/Internal Apps remain separate.

08PRODUCT READER

Business before database

Understand objects, processes that change them, relationships, important information, users and history before choosing technical structure.

09PRODUCT READER

Data and system inventory

Map information across CRM, ERP, WMS, ecommerce, website, accounting/invoicing, spreadsheets, internal apps, databases and external platforms, including producers/consumers, duplicates and dependencies.

10PRODUCT READER

Entities

Define real business objects such as customer, contact, company, lead, product, variant, order, invoice, payment, shipment, warehouse, supplier, employee or project; no entities without purpose.

11PRODUCT READER

Relationships

Model one-to-one, one-to-many, many-to-many, optional/required relationships such as Company-Contacts, Customer-Orders, Order-Lines-Products, Product-Variants and Order-Payment-Shipment.

12PRODUCT READER

Identifiers and keys

Define stable internal/external IDs, SKU, customer/order/invoice numbers and other business keys; identity strategy affects integration, synchronization, dedupe, reporting and migration.

13PRODUCT READER

Source of truth and system of record

Define authority per domain: CRM lead status, ERP invoice, WMS inventory, ecommerce order, payment provider state etc.; one system may be authoritative only for selected data.

14PRODUCT READER

Data ownership

Define operational responsibility, e.g. sales for opportunity status, finance for selected financial data, warehouse for logistics and ecommerce operations for catalogue.

15PRODUCT READER

Definitions, naming and data dictionary

Define terms such as lead/customer/order/revenue/available inventory/qualified opportunity and, where useful, document field, definition, type, allowed values, source, owner and notes.

16PRODUCT READER

Data types

Separate master data, transactional data and reference data to clarify ownership and flow design.

17PRODUCT READER

Statuses and lifecycle

Define statuses, meaning, owner, valid transitions, closure and history; avoid unnecessary states.

18PRODUCT READER

History, versioning and auditability

Define current-only vs historical data and what/when/from/to/system/user where infrastructure allows; do not version everything without reason.

19PRODUCT READER

Granularity and time

Define order vs order-line, daily inventory vs inventory event, customer vs interaction and event/processing time, timezone and valid-from/to where required.

20PRODUCT READER

Optional, required and unknown

Distinguish required/optional/unknown/not applicable; empty does not automatically mean zero/false/no.

21PRODUCT READER

Data quality and validation

Define type, format, range, uniqueness, allowed values and required relationships/IDs to prevent inconsistency, not only clean it later.

22PRODUCT READER

Identity and duplicates

Define matching keys, external IDs, merge principles and identity boundaries; similar records are not automatically the same entity.

23PRODUCT READER

Database architecture

Where in scope, define tables/collections, fields, types, primary/foreign keys, constraints, indexes and history structures; technology follows requirements.

24PRODUCT READER

Data contracts and integration

Define valid records across systems through fields/types/required values/IDs/allowed values/version/ownership; technical connectivity remains an integration product.

25PRODUCT READER

Vs Data Synchronization & Processing

Data Architecture defines meaning/relationships/ownership; Data Sync defines movement/frequency/transformation/reconciliation. Pipelines cannot indefinitely compensate for an incoherent model.

26PRODUCT READER

Vs Internal Dashboards & Reporting

Reporting inherits definitions, IDs, history and granularity; Data Architecture may be the foundation, while dashboards remain separate.

27PRODUCT READER

Vs Internal Applications

Internal apps need clear records/relations/statuses/users/permissions/history; architecture may precede development but does not automatically include the interface.

28PRODUCT READER

Security, access and confidentiality

Roles, permissions, data classification, sensitive fields, minimum access and approved retention; avoid unnecessary replication of sensitive data.

29PRODUCT READER

Scalability, performance and retention

Consider current/probable volumes, query patterns, indexing, retention, archival, backup and recovery without imaginary enterprise overengineering.

30PRODUCT READER

Documentation and handover

Document entities, relations, fields, definitions, IDs, source of truth, ownership, lifecycle, validation, data contracts, technical decisions, assumptions and limits for post-project autonomy.

31SEARCH TERRITORY

Support intents

business data model

data infrastructure

Data Architecture

Your privacy matters