Acta-Data

ActaData helps SMEs, growing companies and startups across Romania and the European Union design, build and improve reliable data environments.

We combine strategic data advisory with hands-on architecture and engineering, helping organisations move from fragmented systems and inconsistent data toward scalable, governed and useful data platforms.

Our focus is practical: creating data foundations that support better operations, reporting, analytics, automation and artificial intelligence.

• Data Strategy & Advisory — define priorities, target capabilities, investment areas and a practical roadmap for improving how data is managed and used.
• Enterprise Data Architecture — design scalable data architectures that align systems, platforms, data flows and business requirements.
• Data Engineering — build and improve pipelines, transformations, integrations and data processing workflows.
• Data Platform Design — design modern data platforms for analytics, reporting, operational use and AI workloads.
• Data Integration — connect applications, databases, APIs and external sources to create reliable data flows across the organisation.
• Data Modelling — develop clear, maintainable data models that support operational and analytical requirements.
• Data Governance — establish ownership, stewardship, standards, policies and responsibilities around organisational data.
• Data Quality — identify quality issues, define controls and improve the accuracy, consistency and reliability of critical data.
• Metadata & Data Catalogue Strategy — improve understanding of what data exists, where it comes from and how it should be used.
• DataOps & Delivery Practices — improve deployment, testing, monitoring and operational management of data pipelines and platforms.
• Cloud & Hybrid Data Architecture — design data environments across cloud, on-premises and hybrid infrastructure.
• AI-Ready Data Foundations — prepare organisational data so it can be used effectively and responsibly by AI, RAG and automation solutions.

Organisations rarely struggle because they have too little data.

They struggle because data is fragmented, duplicated, difficult to access, poorly understood or unreliable.

Acta Laurel helps establish a clear view of the current environment, identify the most important data problems and design an architecture that can realistically be implemented.

We then support the engineering work required to turn that architecture into operational data pipelines, integrations, platforms and governance processes.

ActaData combines advisory and implementation.

We do not believe data architecture should exist separately from how systems are actually built and operated.

Our approach connects:

Strategy → Architecture → Engineering → Governance → Operations → Improvement

This helps ensure that architectural decisions remain practical and that engineering work supports long-term organisational goals rather than creating another isolated solution.

Good data engineering without governance eventually creates new complexity.

Acta Laurel incorporates governance, ownership, security, quality and lifecycle considerations into the design of data platforms and processes.

Where appropriate, our approach is informed by established DAMA data management principles, adapted to the scale and needs of the organisation.

For SMEs, this means applying useful governance without importing unnecessary enterprise bureaucracy.

Acta Laurel takes a vendor-independent approach to data architecture and engineering.

Where practical, we prioritise:

1. European technology providers
2. Suitable open-source technologies
3. Non-European platforms where no appropriate alternative exists

We assess technology based on capability, security, interoperability, long-term maintainability, operating cost and the risk of unnecessary vendor lock-in.

The objective is not to choose technology because it belongs to a particular vendor, but because it is the right fit for the organisation.

AI initiatives depend heavily on the quality and accessibility of organisational data.

ActaData can help prepare the underlying data architecture required for AI agents, copilots, retrieval-augmented generation, analytics and automation.

However, we do not recommend introducing unnecessary AI complexity where traditional data engineering provides a simpler and more reliable solution.

The technology should serve the business requirement.

Your first consultation with Acta Laurel is free.

ActaData architecture, engineering and advisory services are typically provided at:

€ 30–€140 per hour, excluding VAT

The applicable rate depends on the specialist expertise required, complexity of the data environment and level of hands-on engineering involved.

Typical monthly allocations:

• 20 hours/month: €600–€2,800
• 40 hours/month: €1,200–€5,600
• 80 hours/month: €2,400–€11,200
• 120 hours/month: €3,600–€16,800

Before work begins, we agree the hourly rate, expected monthly allocation and scope so that the likely monthly cost is clear.

Cloud infrastructure, data platform licences, third-party software, managed services and other external costs are quoted separately where applicable.

Whether you are modernising an existing data platform, struggling with unreliable data, designing a new architecture, preparing for AI or need senior data expertise without building a large internal team, Acta Laurel can help determine the practical next step.

Book a free initial consultation.