Main Project Information
1. Project Description, Objectives, and Priorities
The PADIA project was born out of an urgent need in the world of SMEs: the democratization of data analytics and artificial intelligence (AI). For many of these businesses, access to such technologies has been limited by scarce resources and the complexity of existing solutions. The project's overarching goal is to develop an automated data analytics platform that removes these barriers, enabling SMEs to fully leverage the potential of AI and data analysis.
The end result is envisioned as a digital service that will allow SMEs to analyze data from various sources, generate reports, visualizations, and metrics, and apply predictive models—all through an interface that requires no advanced technical skills.
Main Objective:
To develop an open and innovative platform that democratizes data analytics and AI usage, eliminating the need for prior knowledge or programming skills. The platform aims to provide a simplified and accessible interface, enabling individuals from all areas and experience levels within SMEs to effectively harness the power of data analytics and AI.
Specific Objectives:
- Advanced backend and data architecture development: Build a robust, efficient infrastructure to support AI and data analytics operations, including scalable servers, optimized databases for fast and secure processing of large volumes of data, cloud storage solutions, and big data technologies.
- Enhancement of Natural Language Processing (NLP) and AI models: Improve algorithm accuracy and system functionality. Optimize NLP algorithms to better understand user language variations and queries, as well as AI models to increase efficiency in generating data visualizations and predictions.
- Integration with business systems and external APIs: Develop a suite of APIs and integration tools for seamless, secure connections with ERP, CRM, and other corporate platforms, ensuring compatibility and efficient data transfer.
- User experience optimization and personalization: Create an intuitive interface tailored to each user’s needs and preferences. Apply UI/UX design principles, customization options, and advanced configurations to improve interaction and accessibility.
- Advanced security and regulatory compliance: Implement cutting-edge encryption technologies, multi-factor authentication, and security protocols to ensure compliance with regulations such as GDPR and other applicable legal requirements.
- Rigorous testing program: Conduct unit, integration, functional, performance, stress, and security tests, using both automated and manual methods to guarantee system quality, scalability, and reliability.
2. Geographic or Thematic Scope of the Project
This project is a bold step toward accessible and sustainable AI, with the potential to transform how SMEs operate and make decisions in an increasingly data- and AI-driven world.
3. Total EU Funding, Budget, or Total Project Investment
The total PADIA project budget approved by the CDTI amounts to €465,867. Of this, €263,650 is allocated to EVM Group S.L. and €202,217 to Macrotest Informática S.L. This funding is co-financed by the European Regional Development Fund (ERDF 2021–2027).
4. Project Duration or Execution Period
The project runs for one year, from January 1, 2024 to January 1, 2025.
5. Graphic Elements of the European Funds Brand
(EU Emblem, EU co-financing reference, Ministry of Finance logo, European Funds logo, CDTI–Ministry logo).
Project Results
Activity 1: Project Management Methodology Implementation
Creation and deployment of a holistic, adaptive methodology for efficient project management, combining elements of traditional frameworks with agile methodologies. Clear procedures are established for change control and proactive risk management, along with strategies for constant, effective stakeholder communication. Project management and collaboration tools are configured for detailed tracking of tasks, milestones, and deliverables, as well as document management systems ensuring information traceability and security.
Deliverables:
1- Justification reports
2- Diagnostic document
Activity 2: Requirements Definition
Accurate identification and documentation of the project’s functional and technical requirements through an in-depth analysis of business needs. Modeling techniques are used to represent processes and workflows, along with prototyping tools for preliminary UI and UX design. Technology selection is based on comparative benchmarks focused on performance, security, and compatibility with the existing tech ecosystem.
Deliverables:
1- Requirements report
2- Product design report
3- Failure Mode and Effects Analysis (FMEA) and evaluation report
4- Data protection risk assessment document
Activity 3: Web Platform Development
Development of a robust, scalable web platform with a responsive and adaptive user interface for various devices and environments. Servers and databases are selected and configured to ensure efficient performance. User authentication and management systems are implemented using standard protocols, with encryption for both stored and transmitted data to guarantee integrity and protection.
Deliverables:
1- Developed platform
2- Code repositories: one for the application (frontend) and one for the server/API (backend)
Activity 4: Artificial Intelligence Integration
Integration of generative AI capabilities to enhance advanced data interpretation and pattern/trend detection. AI models and algorithms are selected and adapted for efficient processing and informed decision-making. A technological infrastructure is developed to allow training, validation, and continuous retraining of AI models, ensuring adaptation to evolving project and environmental needs.
Deliverables:
1- NLP model technical documentation
2- Model validation and evaluation report
3- Code repository
4- Data Analytics and AI engine
5- Integration plan
Activity 5: Platform Testing
Comprehensive testing at various development stages, including unit, integration, system, and user acceptance testing (UAT). Load and stress tests are conducted to verify scalability and robustness, alongside a security testing plan to identify and mitigate potential vulnerabilities—ensuring a reliable, secure final product.
Deliverables:
1- Test case report
2- Beta tester recruitment plan
3- Technical testing report
4- Use case analysis and recommendations
