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Datya Architecture Methodology

The 4 maturity layers: from raw data to operational intelligence

Artificial intelligence doesn't work in a vacuum. We build solid, progressive architectures that guarantee legal certainty, data standardization, private algorithms and the democratization of knowledge.

0 Adoption phases
0 Assets in the matrix
0% Data sovereignty
Sequential Architecture

How data flows from its source to business value

Each layer resolves a level of technology risk and enables the next. Without governance there is no quality; without architecture there is no AI; without an interface there is no decision.

01 Foundations & Legal

Governance & Strategy

We set the rules of the game before writing any code. We secure data sovereignty, quality at the source and strict compliance with European artificial intelligence regulation.

Critical goal: Avoid penalties, align investment with the business and protect trade secrets.
Key beneficiary profile: CEO, Legal, Data Protection Officer, Finance Department.
02 Data Engineering

Architecture & ETL

We build the digital pipelines. Automated extraction, cleansing, loading and orchestration to eliminate the manual work of moving data between ERPs, spreadsheets and files.

Critical goal: Clean data in real time, zero administrative work and universal integration.
Key beneficiary profile: CTO, CIO, IT Managers, Operations and Procurement Teams.
03 Intelligence & Modeling

AI Exploitation

Where data becomes prediction and active decision-making. We train machine learning models, private corporate copilots and optimization algorithms for complex operations.

Critical goal: Anticipate machine failures, reduce customer churn and optimize production.
Key beneficiary profile: Operations Directors, Sales Leaders, General Management.
04 Interface & Adoption

Front End & Visualization

Data is useless if the decision isn't executed instantly. We design executive interfaces, corporate analytics dashboards and web/mobile apps that make data access human and frictionless.

Critical goal: Democratize data, see critical KPIs in 3 seconds and trigger actions.
Key beneficiary profile: End users, team leads, executive committees.
Organizational Impact

How each technology layer fits into your business structure

Select a maturity phase to see which departments are activated immediately and what tangible results they bring to day-to-day operations.

Phase 01 · Foundations & Legal (6 Assets)

Corporate protection, regulatory compliance and data culture

The governance layer isn't bureaucracy: it's the protocol that ensures no department makes decisions based on duplicated data or algorithms without legal oversight.

Cross-functional 4 Services

Data Governance, AI Act, Code & Change

Access policies, European AI assessment, engineering audits and continuous team training.

Finance 1 Service

Budget control

Unified rules for calculating deviations and strict traceability of financial items and costs.

Logistics 1 Service

End-to-end traceability

Event logging standards and full lineage across the entire supply chain.

Phase 02 · Ingestion & Pipelines (8 Assets)

Radical elimination of repetitive administrative tasks

Directly connecting heterogeneous information sources frees up engineering and administrative hours, leaving data structured and free of manual errors.

Cross-functional 3 Services

Data Platform & Power Platform

Centralized data repository (Data Lake / Warehouse), task automation and custom applications.

Logistics 2 Services

Inventory Management & Automation

Real-time synchronization of stock movements between warehouse and store, plus automation of operational workflows.

Procurement 1 Service

Invoice OCR

Automated digitization and ingestion of supplier delivery notes and invoices with no manual intervention.

Finance 1 Service

Billing automation

Accounting reconciliation, validation and autonomous workflows integrated directly into the company's ERP.

HR 1 Service

CV OCR

Automatic résumé processing to extract skills and speed up candidate screening.

Phase 03 · Advanced Algorithms (20 Assets)

ROI at its best: from reaction to prediction

Where mathematical models and generative artificial intelligence act directly on revenue, productivity and cost savings.

Sales 4 Services

Forecasting, Churn, Segmentation & Assistant

Anticipating customer churn, estimating future revenue and a CRM-connected sales copilot.

Production 4 Services

Scheduling, Production, Maintenance & Quality

Optimal order sequencing, failure prediction and computer-vision inspection on the shop floor.

HR 3 Services

Shifts, HR Assistant & Turnover

Intelligent shift allocation, an internal employee chatbot and early detection of talent loss.

Management 3 Services

Corporate Forecasting, Copilot & A/B Testing

Global strategic scenario simulations, an executive interface and scientific experimentation.

Procurement 2 Services

Demand Forecasting & Optimization

Time-series models to fine-tune orders and reduce the total cost of supply.

Logistics 2 Services

Route Optimization & Stock Planning

Intelligent routing algorithms and dynamic safety-stock calculation with no stockouts.

Finance 1 Service

Financial forecasting

Treasury and cash flow simulation to anticipate liquidity strain and optimize financing.

Cross-functional 1 Service

Generative AI

Secure corporate deployment of language models for writing and document analysis.

Phase 04 · Visualization & Consumption (5 Assets)

Instant access: understandable information in under 3 seconds

No decision gets lost along the way. We turn millions of rows of processed data into clean interfaces, accessible from any corporate device.

Cross-functional 4 Services

Dashboards, Portals, Websites & Apps

Corporate dashboards in Power BI, B2B self-service portals for customers and suppliers, high-performance websites and mobile field apps.

Sales 1 Service

Sales dashboards

Interactive dashboards to track the sales pipeline, revenue targets, margins and performance by channel or agent.

Technical Assessment

Which technology layer is your company at today?

Rushing into artificial intelligence without a solid foundation leads to cost overruns and frustration. We analyze the state of your systems to determine which foundations need strengthening before scaling.

01
Governance Review Legal validation and quality at the source
02
Pipeline Diagnosis Integration status and latencies
03
Private AI Feasibility Identification of real use cases
04
Technical Roadmap Phased planning and budget
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