Data Strategy and Business Intelligence Consulting for Companies

We help companies turn their data into high-impact business decisions. We work in six areas: Data Governance and compliance, modern data architecture and platforms, Business Intelligence and business analytics, artificial intelligence and machine learning, data integration and ETL/ELT processes, and a data roadmap with strategic data consulting. We serve companies in Tarragona and across Spain.

A data strategy defines how your company collects, organises, protects and uses information to achieve its business goals. Without one, data remains scattered across isolated systems, with duplicates and errors, and decisions are made on intuition. We design a roadmap with priorities, architecture, tools and specific use cases, so that your organisation becomes data-driven and gets a real return from its data.

Business Intelligence (BI) is the set of tools and processes that transform your company's data into visual, useful information for decision-making. With dashboards and reports in tools such as Power BI, management and teams can check sales, costs, margins, operations or customers in real time from a single point. The result is faster, more accurate decisions, early detection of problems and fewer hours spent preparing manual reports.

Data Governance is the framework of policies, roles and processes that ensures your company's data is reliable, secure, accessible and compliant with regulations. It defines who is responsible for each piece of data, how its quality is ensured, who can access it and how GDPR and other sector-specific regulations are complied with. It is the essential foundation for Business Intelligence and artificial intelligence to work with trustworthy data.

ETL/ELT processes (extract, transform and load) collect data from different sources, such as the ERP, the CRM, e-commerce, Excel or cloud applications, clean and unify it, and load it into a central repository such as a data warehouse or a data lakehouse. We automate these flows so that the information is always up to date and consistent, and we eliminate the data silos that prevent a single view of the business.

Once the data is organised and governed, we apply artificial intelligence and machine learning models to use cases with a direct impact on the business: demand and sales forecasting, fraud or anomaly detection, customer segmentation, predictive maintenance or price optimisation. We start with specific, measurable cases, validate the return and scale up. AI applied to results, not endless experiments.