Lucía Engo - Anjana Data

Govern your data in accordance with DCAT-AP... in record time

Lucía Engo — Fri, 11 Jul 2025 11:46:35 +0000

Health DCAT-AP for data space and portal governance is now a reality thanks to the collaboration between Anjana Data y DQTeam. At a time when organisations need to convert their data strategies into concrete actions, this solution enables the governance of open catalogues and healthcare data spaces in accordance with the most demanding European standards.

We are working on configurations. out of the box for all extensions of the standard DCAT-AP —such as Health, Geospatial, Statistics, or Energy—with the aim of enabling any organisation to activate a complete solution without the need for programming. Thanks to the collaboration with DQTeam, The first of these configurations is now available: Health DCAT-AP, designed to manage open data catalogues and health data spaces in a simple, interoperable manner that complies with the European profile.

Strategic alliance with our partners. Objective: from standard to action.

Thanks to the joint work with DQTeam, We have defined and parameterised a solution in Anjana Data that allows our clients to:

To start up a 100% governance aligned with standards DCAT-AP and its healthcare extension Health DCAT-AP
Configure the official roles defined by Health DCAT-AP (publisher, creator, rights holder, contact point, etc.)
Activate complete metadata templates for datasets, distributions, and catalogues

All this under a technical and functional nomenclature that is fully aligned with the standard, ensuring full interoperability between European institutions, regions and platforms.

Ready to deploy: no code, no friction

The solution features a out-of-the-box configuration kit which allows:

Implementations in record time
No programming required
Customisable templates to adapt metadata to the specific needs of each organisation

Anjana Data allows you to start with a basic configuration and evolve according to your data governance needs.

True interoperability: open APIs + metadata federation

Anjana Data has been designed with an architecture 100% interoperable, which allows:

Share and federate metadata between different instances or versions of the Health DCAT-AP
Bringing the logic of transformation where it needs to be: plugins and processes that consume APIs
Seamlessly integrate with external portals, public catalogues, and sector-specific data spaces.

All thanks to your REST API documented with Swagger and to their plugin development kits, designed for heterogeneous environments.

An interface to govern your open data portals

Beyond the technical back-end, Anjana Data offers a simple, intuitive interface geared towards business users, where possible:

Inventory datasets, distributions, and catalogues
Manage open data portals, sectoral data spaces, or federated networks.
Locate and apply filters to find and access actual distributions

Would you like to see it in action?

Here you go. practical demonstration how the Health DCAT-AP-based solution is configured and used within Anjana Data, with a comprehensive experience of searching, filtering, exploring metadata, and downloading data from an interoperable dataset:

Watch video on YouTube – Health DCAT‑AP demo with DQTeam and Anjana Data

Ready to govern your data with European standards?

If your organisation wishes to align your data strategy with DCAT-AP, DAMA, UNE or the Data Act, Now you can do it immediately and without development, with a modular, extensible and 100% interoperable approach.

Get in touch with us to learn how to activate this setting in your environment or try a customised demo.

Mexican Federal Telecommunications Institute and Anjana Data: How to build a Knowledge Marketplace in just 10 weeks and start generating value from day one

Lucía Engo — Thu, 29 May 2025 11:19:44 +0000

The Knowledge Marketplace at the IFT is now a tangible and transformative reality. In a context where data is growing uncontrollably and strategic decisions depend on reliable information, the Federal Telecommunications Institute of Mexico has managed to structure its internal knowledge, making it accessible, governed and value-oriented.

Thanks to Anjana Data, the IFT has gone from having no governed assets to creating, in just 10 weeks, a Knowledge Marketplace Complete. An environment where data is converted into actionable knowledge, available to all profiles and aligned with the organisation's strategic vision.

This milestone not only marks the beginning of a new culture data-driven, but rather demonstrates how a public institution can generate real and early impact through a modern Data Governance ecosystem focused on democratisation of business knowledge.

From zero to Knowledge Marketplace: IFT takes an exponential leap forward with Anjana Data

The IFT did not start from a mature data governance base. It started from scratch: without a centralised catalogue, without defined management flows, without a semantic structure or standardised access mechanisms. The usual approach would be to start slowly, with a basic technical catalogue or an initial Data Marketplace. But the IFT opted for take an ambitious strategic leap: build a genuine Knowledge Marketplace.

Thanks to Anjana Data, That leap has been possible and successful:

A smart and governed catalogue with over 130 data and information assets in just 10 weeks.
A living business glossary, which links organisational concepts with technical assets to facilitate cross-functional understanding.
They were enabled. governance workflows, ensuring compliance, traceability, versioning, and auditing.
A eCommerce experience, where any user can find, understand, and request the knowledge they need.

The result: an environment where data becomes useful knowledge, with context, governance and purpose, ready to be driven by all areas of the organisation.

Would you like to know more about the Knowledge Marketplace concept? Here we explain it in detail.

Flawless execution, measurable results

This ambitious project was rolled out quickly and efficiently thanks to three key factors:

Flexible and scalable technology (Anjana Data) which was adapted to the organisational and technical requirements of the IFT.
An expert implementation team (Management Solutions), with in-depth knowledge of the platform and best practices in data governance.
Agile and empowered project management on behalf of the IFT, with a key Project Manager to remove obstacles and speed up decisions.

The achievements speak for themselves:

+130 governed assets
Cases of strategic value activated at the close of the project
Governance implemented at all levels: technical, semantic, operational, and organisational
Active participation from all key areas: security, networks, business, and IT

The impact: much more than well-managed data

The IFT has not only structured its information assets: it has also implemented a new culture based on data and shared knowledge, that:

Promotes data sovereignty without restricting access.
Reduces the barrier to entry to information.
Democratise the use of knowledge throughout the organisation.
Ensures regulatory compliance and traceability.

This project is real proof that Data governance does not have to be slow or complex.. With the right vision and the right tools, you can go from zero to strategic in a matter of weeks.

Would you like to know all the details?

Download the full success story here and discover how IFT has managed to transform its data ecosystem into a Knowledge Marketplace with Anjana Data.

Do you want to make this leap in your organisation?
Contact us at info@anjanadata.com, We will be delighted to help you design your path towards modern, agile data governance that generates value.

Beyond the data: how Anjana Data leads the way in artificial intelligence governance

Lucía Engo — Tue, 29 Apr 2025 17:18:31 +0000

With the unstoppable rise of Artificial Intelligence, organisations are faced with an urgent question: how can they ensure that AI models are designed, deployed and used in an ethical, traceable and compliant manner? The answer lies not only in MLOps tools, but also in having a robust framework for governance that integrates people, processes and technology.

In Anjana Data we understand the AI governance as a natural extension of the Data Government, which requires a strategic layer of oversight above technical execution. While operational tools handle the how (train, deploy, maintain), the government takes care of the why, for what purpose, and within what limits.

Strategic oversight VS Operational management

Our vision: governing AI as a strategic asset

Governing AI involves much more than registering models. It requires:

AI systems lifecycle managementFrom experimentation to withdrawal, with traceability and control at every stage.
Governance of the data involved: ensuring quality, regulatory compliance (such as GDPR) and common semantics.
Transparency and explainability: models that are understandable for businesses, regulators, and users.
Risk management: ethical, technical, and operational, with mitigation and documentation mechanisms.
Evidence for regulatory compliance: AI Act, ISO, NIST, sectoral... what is not documented is not governed.

All of this without duplicating toolsAnjana Data integrates with existing technical platforms (MLflow, Kubeflow, Azure ML, etc.) to synchronise and document evidence to and from the operating ecosystem.

Areas of Artificial Intelligence (AI) management

What does Anjana Data offer?

Anjana Data Platform has been designed to be the missing piece between strategy and operation. What does this mean?

Centralised inventory of models, datasets, APIs, agents, experiments, and AI systems.
Customisable operating model, with domain definition, role configuration, permission assignment, and workflows adaptable to the organisational reality.
Strategic oversight with traceability panels, evidence and control over the life cycle, ethics and safety of the models.
Document management technical and regulatory evidence, with specific metadata templates depending on the type of system (ML, LLMs, agents, etc.).
Full integration with management tools, whether in reference mode, master mode (push) or slave mode (pull), to maintain automatic synchronisation of evidence.

Functional architecture of Anjana Data Platform with a focus on AI governance

Technology at the service of real governance

With modular architecture, a low-code/no-code approach, and a 100% configurable % metamodel, Anjana Data enables the implementation of robust and sustainable governance models, without friction or unnecessary dependencies. Its native BPM engine allows for the automation of ethical validations, legal reviews, or authorisations according to the type and risk of the system.

Because governing well does not mean slowing down. It means accelerating with confidence, responsibility and vision.

Would you like to know how we do it?

We have prepared a comprehensive resource with use case examples, metadata and role proposals, inventory models, approval flows, and much more.

Download our value proposition for Artificial Intelligence Governance with Anjana Data Platform here.

Lanbide: Pioneer in AI Governance in the Public Sector

Lucía Engo — Mon, 31 Mar 2025 09:43:33 +0000

In a context of accelerated digital transformation and increasing regulation in the use of the Artificial Intelligence (IA), Lanbide, the Basque Employment Service, has taken a step forward to consolidate its position as a benchmark in the governance of AI systems within the public sector. Thanks to its strategic commitment to the Anjana Data Platform, Lanbide has not only strengthened its data governance model, but has also evolved towards transparent, ethical and secure management of AI in its business processes.

A mature and scalable data governance project

Lanbide already had a solid foundation in the data governance, established through the Anjana Data Platform. The integration with the operational data stored in the ODS, the DWH and the platform BDaaS EJIE enabled the entity to manage and monitor its data ecosystem with an approach aligned to international standards and best practices.

With the migration of the BDaaS architecture towards AWS (BatData), work has been done to ensure continuity of governance through integration with the new infrastructure and identity management system. This process has laid the groundwork for the possible transition of Anjana Data Platform from an On-Premise to SaaS model, which would optimise management and reduce operational costs.

AI Governance: From Strategy to Action

Lanbide's natural evolution towards AI governance arises from the need to ensure the use reliable y responsible of algorithms in the decision-making. In a developing regulatory environment, such as that of the EU AI Regulation (AI Act) and the EData Governance Strategy of the Autonomous Community of Euskadi (CAE), Lanbide has defined a series of strategic objectives:

Regulatory complianceEnsure alignment with European and regional regulations to avoid legal risks and strengthen digital trust.
Algorithmic risk managementIdentify and mitigate biases, ensuring that AI models are fair and safe.
Transparency and audit: Implement an algorithm-driven inventory with traceability and monitoring mechanisms.
Ethics and fundamental rightsIntegrating AI into a governance framework that protects citizens' rights and promotes equity.

Algorithm-governed inventory: A cutting-edge initiative

Lanbide has implemented a AI Governed Inventory, This is a significant step forward compared to traditional models such as the CAE Catalogue. This inventory allows:

Standardisation of documentation using pre-defined and validated templates.
Continuous updating, ensuring accurate information in real time.
Advanced search and traceability, with detailed filters for models, data and reports.
Structured operating model, ensuring rigorous control in line with regulations.
Comprehensive governance of the model and its data, The new system is a tool to detect and mitigate biases at source.

One of the first use cases in this inventory has been the Careers and Skills Assistant, The new system, a model based on statistical profiling and predictive techniques to analyse the demand for employment, has been implemented. Thanks to the governance implemented, efficient monitoring and increased confidence in the use of these systems has been achieved.

Key impact and benefits

Lanbide's success in AI governance has led to significant improvements in its operations and in public confidence:

Greater transparency in the use of algorithms in public administration.
Efficient monitoring of AI models, minimising risks and biases.
Regulatory compliance with European and regional guidelines.
Reference for other institutions, The new system will set a standard that can be replicated in the public sector.

A replicable model for public administration

Lanbide has not only incorporated a governance framework aligned with the European regulations, but has demonstrated how AI can be integrated in a way that is not only ethics y efficient in the delivery of public services. This project is not just an operational improvement, but a paradigm shift in data management and AI in the public sector.

Lanbide's experience serves as a reference for other institutions seeking to strengthen their AI governance and respond to regulatory challenges with a clear and effective strategy. With this innovative approach, Lanbide positions itself as a leader in responsible AI management, setting a precedent in Spain and Europe for data governance in the public sector.

Access the full resource on the Lanbide Case Study and learn about the initiative first hand through the Lanbide Youtube Channel

Data processing management with Anjana Data Platform for compliance with data protection laws

Lucía Engo — Wed, 22 Jan 2025 15:35:16 +0000

Compliance with data protection regulations, such as the European Union's General Data Protection Regulation (GDPR), is a key challenge for modern organisations. These regulations require, among other things, keeping records of data processing activities up to date, ensuring traceability, conducting impact assessments and demonstrating compliance. The complexity of this task increases considerably if adequate tools are not available.

The challenges of manual data processing management

Many organisations still rely on manual processes to manage treatment records, using spreadsheets or scattered documents that make updating, tracking and auditing difficult. These practices not only increase the risk of non-compliance, but also create operational inefficiencies and make collaboration between teams difficult.

In addition, the regulations require the inclusion of key information such as:

The purpose of the processing.
Identification of controllers and processors.
Personal data involved and categories of data subjects.
Security measures implemented.

Anjana Data Platform: a holistic and automated approach

Anjana Data Platform revolutionises the management of data processing by integrating this functionality with the organisation's data catalogue. This integration makes it possible to automate processes, guarantee traceability and facilitate regulatory compliance. Its main capabilities include:

Centralised and automated registration: Treatment records are stored in a single place, allowing them to be created manually, via bulk uploads or API integrations.
Linkage to the data catalogue: Each record relates directly to the assets in the catalogue, ensuring that any changes to the data are automatically reflected in the treatments.
Validation flows and permissions: Configurable templates ensure that records are reviewed and approved by key decision-makers, including the Data Protection Officer (DPO).
Impact assessments: The platform enables the management of these assessments to identify and mitigate risks associated with the processing of personal data.
Visualisation of the life cycle: Interactive diagrams facilitate the understanding of the flow of data, from its collection to its final use.
Alerts and auditing: Automatic notifications remind you of periodic revisions, and the change history ensures efficient auditing.

Key benefits of Anjana Data Platform

Implementing Anjana Data Platform offers organisations a number of tangible benefits:

Saving time: It automates manual tasks, freeing up resources for strategic activities.
Guaranteed regulatory compliance: Integration between processing records and data catalogue ensures alignment with regulations.
Full traceability: Automatic linkage between processing and data facilitates audits and responds quickly to regulatory requests.
Proactive risk management: Integrated impact assessments allow for early identification and mitigation of risks.
Scalability and adaptability: Forms and workflows are customisable, allowing for adaptation to new regulations and organisational needs.

A unified approach to data governance and protection

Anjana Data Platform combines data processing management with data governance, providing a comprehensive approach that includes:

Data protection by design and by default: Proactive integration ensuring default privacy settings.
Data breach notification: Document and manage security incidents to promptly notify authorities and stakeholders.
Guarantees for data transfers: It facilitates the documentation of measures such as standard contractual clauses or binding corporate rules.

Resources and support for agile implementation

To accelerate the adoption of the platform, we offer:

Configuration kits: Pre-designed templates for registers, assessments and risks.
Metadata extraction plugins: Integration with leading market technologies to automate documentation.
Network of specialised partners: Consultancy firms that guarantee success in regulatory compliance.

Find out more

With Anjana Data Platform, the management of data processing becomes efficient, transparent and aligned with the most demanding regulations.

Find out how Anjana Data Platform can help you comply with regulations and improve data management in your organisation.

Download the resource here and start your transformation towards efficient and transparent data governance.

Do you need more information? Write to us at info@anjanadata.com.

Unlocking the True Potential of AI in Data Management: Mario de Francisco, CEO of Anjana Data, will participate in an essential webinar organised by DAMA Spain.

Lucía Engo — Mon, 25 Nov 2024 10:53:47 +0000

In Anjana Data we are committed to promoting an approach realistic y efficient in data management, and we are thrilled to announce that our CEO, Mario de Francisco, will be one of the speakers at the third webinar in a series organised by DAMA Spain, the Spanish chapter of DAMA International.

This event, entitled «Artificial Intelligence Applied to Data Management«It promises to be a unique space for learning and debate, where the big questions about the real impact of artificial intelligence (AI) on the data management and governance.

A special opening by Lucía Engo

The event will be opened by Lucía Engo, Chairwoman of DAMA Spain y Head of Customer and Partner Success at Anjana Data. Its introduction will lay the foundations for a deep and constructive debate, highlighting the association's mission of debunk misconceptions and encourage informed decisions regarding data management.

Why should you not miss this webinar?

We live in a time when AI is on everyone's lips, but expectations often exceed current capabilities. This webinar will be the perfect opportunity to:

Separating myths from realityCan AI really catalogue, clean and serve data autonomously?
Analyse the cost and returnIs the business case for implementing AI-based solutions viable?
Understanding the organisational implicationsWhat preparatory work does the organisation need to do to make AI effective?

Mario de Francisco, a key voice in the debate

As CEO of Anjana Data, Mario de Francisco will bring a perspective based on his experience leading a data governance and AI platform Internationally recognised and by independent entities, it integrates technological innovation with a practical, customer-focused approach.

Mario will share the table with other renowned professionals in the sector, who will contribute complementary perspectives from different industries:

José María Veganzones, Head of Data Management at SERMAS (Madrid Health Service), who will contribute his experience in the healthcare sector, one of the most demanding sectors in terms of data management and security.
Alfonso Fernández, who has worked at leading companies in advanced technology solutions, will contribute a technical perspective on how AI is transforming the landscape of data governance.
Toni González, from Vueling, customer Anjana Data, with her experience in the aeronautical sector, will share how large organisations can integrate AI into their operational processes to boost efficiency in data management.
Bernardo Godar, Vice President and General Manager at Denodo, partner Bernardo, CEO of Anjana Data and sponsor of DAMA Spain, will moderate the event. Bernardo will guide the conversation, contributing his strategic knowledge and facilitating an enriching debate among participants.

Webinar details

Date: 10 December 2024
Time: 4:00 p.m. in Spain (9:00 a.m. in Mexico/Guatemala/Costa Rica, 10:00 a.m. in Ecuador/Peru/Colombia, 12:00 p.m. in Chile)
Duration: 90 minutes (60 minutes of debate + 15 minutes of questions)
Speakers:
- José María Veganzones, SERMAS
- Mario de Francisco, Anjana Data
- Alfonso Fernández, DAMA Spain
- Toni González, Vueling
- Moderator: Bernardo Godar, VP & General Manager of Denodo

This webinar will conclude a trilogy organised by DAMA Spain to demystify misconceptions and clarify expectations about lineage, quality, and artificial intelligence in data management.

Join us and share your vision!

We invite our customers and partners to register and participate in this transformative event. If you are part of the data community, this webinar is an opportunity to enrich your knowledge, ask challenging questions, and collaborate with leading experts.

Register here: https://events.teams.microsoft.com/event/0090f408-fa8b-435e-97b2-41b06b8c6aaa@4dc50f2a-0603-4e4c-b07e-b146e476ce0f
Help us spread the word about this event by sharing it with your network - together we can build better informed and effective data management!

Alberto Montero, our Customer Success Manager, will participate in the webinar on Data Lineage organised by DAMA Spain.

Lucía Engo — Tue, 15 Oct 2024 08:59:33 +0000

In Anjana Data, We are very proud to announce that Alberto Montero, our Customer Success Manager, has been invited as one of the experts to participate in the upcoming webinar on Data Lineage organised by DAMA Spain, Spanish chapter of DAMA International. This event is part of a series of webinars organised to demystify misconceptions and unrealistic expectations about data management.

Why is data lineage key for organisations?

Data lineage has gained prominence in recent years due to its ability to provide full visibility into the data lifecycle within an organisation. As part of the discipline of Data Integration and Interoperability (DII), the data lineage is essential as it ensures that organisations can document the origin and movement of data through various systems. From its origin to its consumption, lineage ensures that data persistence, movements, transformations, use, and exchange through Data Sharing Agreements (DSAs) comply with current regulations. Furthermore, knowing where data comes from and where it flows to is essential as part of the impact assessment which must be performed when data structures, flows, or processing procedures are modified.

In this context, Alberto will offer a unique perspective on how companies can leverage a data governance solution to improve the traceability, increase the data quality and ensure a decision-making more robust and reliable. It will also focus on debunk the false belief that the data lineage can be «magically» extracted using connectors that perform effortless scanning and reverse engineering. Alberto will explain that, while the tools can automate in certain respects, it is always necessary to carry out additional efforts to correctly document the data and processes involved. In addition, it will highlight that the business case of each company must be well-founded for these efforts to pay off, ensuring that the value provided by a data lineage implementation justify the time and resources invested in its configuration and management.

Webinar details

Date: 15 October 2024
Time: 4:00 p.m. (Spain) / 11:00 a.m. (Chile) / 9:00 a.m. (Peru, Ecuador)
Duration: 1 hour
Modality: Online
Registration: Open and free (https://www.damaspain.org/eventos/)

Alberto will share his experience working directly with clients, demonstrating how effective data lineage management can resolve critical challenges, such as regulatory compliance, transparency in data flows, and integration of data from multiple sources.

The event will feature four experts in the field who will discuss the most common myths and real opportunities presented by an effective data management strategy, closing with an open question and answer session so that attendees can have their questions answered live.

Don't miss it!

We invite you to register and be part of this crucial conversation for the future of data management (https://www.damaspain.org/eventos/)

With this participation, we reaffirm our commitment to adding value to the data management community and help our customers and partners overcome the most important challenges in the digital age.

Anjana Data launches its new Partnership Programme

Lucía Engo — Tue, 27 Aug 2024 09:27:00 +0000

At Anjana Data, innovation and engagement with our partners are critical to the success of our clients' initiatives. In this spirit, we are pleased to announce a significant update to our Partnership Programme, designed to further strengthen our relationships and ensure that everyone involved gets maximum value from our collaboration.

Why have we made this change?

The technology and data environment is constantly evolving, and so are we. Our goal has always been to provide our partners with the best tools and opportunities to deliver exceptional value to our customers. To achieve this, we have developed a new partnership model that places a greater emphasis on the proven ability to deliver tangible results through our Data Governance & AI Platform.

Main changes

· Impact-based evaluation: The new assessment criteria focus on the performance and in the success stories that our partners have succeeded in implementing. This meritocratic approach will allow us to identify and recognise partners who really make a difference.

· Reclassification into new levels: We have restructured the tiers of the programme to reflect more accurately the value that each partner brings to the table. The new levels are designed to reward not only volume of business, but also the quality and the impact of the solutions offered.

· Recommended Partners Programme: As part of this upgrade, we are launching the «Recommended Partner Programme». This programme will highlight partners who have consistently demonstrated a high level of competence and exceptional results. These partners will receive additional visibility on our platforms and will be actively recommended to our customers for key projects.

· Consolidation of benefits: We want to ensure that all our partners enjoy a smooth transition to the new model. That is why we have consolidated existing benefits and added new advantages adapted to each level, so that everyone continues to have access to valuable resources.

· Personalised communication: In the coming weeks, our team will be contacting each of our partners to inform them about their new level and the benefits that come with it. This communication will include specific details on how they can make the most of their position in the new programme.

· Access to new opportunities: With this new model, partners will have access to an improved set of tools, resources y support that will help them scale their success and deliver even more value to our mutual customers.

Special thanks to our partners

This new partnership model has been designed with our valued partners in mind, to recognise and reward their outstanding contribution and efforts. We would like to express our sincere thanks to Matica Partners, Fujitsu, Management Solutions, NTT Data, SI Solutions, Izertis, Hiberus, Accenture, T-Systems, DesideDatum, DQ Team, EY, Sopra Steria, Knowmad mood, Blowww, Alternative, Bosonite, Minsait, Ayesa y Datua for their continued dedication and pivotal role in creating success stories that have driven both the growth of our customers and the evolution of our platform. Their collaboration has been a source of inspiration, and we are excited to continue working together to achieve new goals.

Looking to the future

We are convinced that this new partnership model will not only benefit our partners, but will also contribute to improving our customers' experience. With a partner network aligned to these new standards, we will be able to continue to deliver innovative and high-impact solutions in the field of data governance and artificial intelligence.

We are very excited about the opportunities this new model will bring to all our partners. This is a big step forward, and we are committed to supporting each of our partners on this journey.

To all our partners, thank you for being part of Anjana Data and for your commitment to excellence!