Data without governance is a risk

Regulatory compliance is a mandatory requirement in regulated sectors, particulary accross Europe and the public sector

A structured, traceable and governed database is essential to build explainable AI

Interoperability, data spaces and regulatory pressure demand lineage, privacy and control over data

From assessment to implementation of policies, tools and best practices

Maturity assessment

Technical and funtional evaluation of how your organization manages its data

Design and implementation

Definition of clear rules for the use, management, access and data governance within the organization

Data catalogs and traceability

Tools to map, document and track the entire data lifecycle

Data contracts and access control

Mechanisms to define who accesses which data, under what conditions and with what responsibility

Data Quality & Master Data Management

Processes and tools to ensure data is accurate, consistent, up to date and useful

AI Readiness

Adapting data environments for efficient and reliable artificial intelligence models

Scalable model for data-driven organizations

70 %

RedUCTION IN ANALYTICAL ERRORS

60 %

 DECREASE IN DATA-RELATED COSTS

40 %

LESS TIME SPENT FINDING AND VALIDATING DATA

45 %

IMPROVED AI RELIABILITY

Success stories

Distribution
We integrated their ERP with management platforms to centralize data and automate reporting, reducing management time by 70%
Transport
We automated data extraction to the client’s DataLake, reducing operational time by 80%.
Technology
Implementation of a governance and management structure based on a robust and scalable methodology.
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Your decisions are only as good as the data behind them

Drive your strategy with effective data governance