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.

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.

📩 Would you like to take this leap forward 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.

📜 From Data Portals and Internal Catalogues to Intelligent Data Sharing

The current revolution around the data sharing, the data contracts, interoperability and Data Marketplaces has its roots in two key currents:

• Public Data Portals, born of the movement Open Data, oriented to the external sharing of datasets by governments and institutions. Tools such as CKAN, Socrata o OpenDataSoft and standards such as DCAT-AP were instrumental in establishing solid foundations for semantic and structural interoperability.
• Enterprise Data Catalogues, IT-driven, IT-driven and Data Governance, with a focus on internal data governance, discovery, traceability and quality.

From this merger, and driven by the consolidation of the e-commerce the Data Marketplacea hybrid environment for publishing and consuming data assets, both internally and externally, under a framework of control, security and collaboration.

🚀 Anjana Data: from visionaries of the Data Marketplace to builders of the Knowledge Marketplace

It has been almost 6 years, when he was born Anjana Data We were already talking about Data Portal, Shopping cart y Data Sharing Agreements (Link to the article), whose conjunction later became the now so famous concept of the Data Marketplace which we have started to implement in leading organisations such as the Banco Santander:

• Santander Group & Anjana Data: The journey towards data driven self-service
• Anjana Data and Santander Group offer the keys to achieving success in the Single Data Marketplace at the 2021 Data Management Summit

But in recent years (and almost without realising it) we have gone a step further by enabling organisations to build what we have called Knowledge Marketplace, where data becomes reusable, sharable, governed and actionable information and intelligence products.

🧠 What is a Knowledge Marketplace?

One Knowledge Marketplace is an evolution of the Data Marketplace, which makes it possible to manage not only datasets, but also:

• Information Products: reports, KPIs, dashboards, advanced analytics.
• AI products: models, algorithms, pipelines, reusable APIs.
• Enriched knowledge assetswith metadata, contracts, policies and context of use.

These products are designed and managed under a product thinking, where each asset has a purpose, a target audience, a responsible party and a defined life cycle.

⚙️ Flexibility, scalability, interoperability and usability - key requirements

One of the great challenges today is that organisations are operating in environments very diverse, heterogeneous and changing, The modern platform must be able to meet the needs of its users, both in terms of technology, culture and organisational maturity. A modern platform must therefore comply with four fundamental requirements:

🔧 1. Flexibility and no-code customisation

Anjana Data Platform is highly configurable and customisable, without the need for custom development. Thanks to its advanced parameterisation and no-code approach, The system adapts to the operating models, organisational structures and data domains of each organisation, without imposing closed or rigid models.

⚙️ 2. Technical and functional scalability

The platform is built on an architecture modular and scalable, The new system, which allows you to grow from a minimal deployment to a global, federated and distributed governance ecosystem, supporting multiple domains, organisations and territories.

🔌 3. Full interoperability and no black boxes

Anjana Data is completely apified and contains no «black boxes». All components are accessible via REST APIs and it has native bi-directional connectors to:

• Identity Management Systems (LDAP, SAML, OpenID, OAuth2...)
• Data management technologies (ETLs, Data Lakes, BI, catalogues, MDMs...)
• Main Cloud providers (Azure, AWS, Google Cloud...)

This guarantees its seamless integration into the existing technology ecosystem, without lock-in and dependencies.

🧑‍💼 4. User experience for non-technical profiles

In an environment where information and knowledge must be democratised, it is essential that the platform is not only designed for expert users or technical profiles.
Anjana Data Platform offers a intuitive interface, with a reduced learning curve, designed for:

• Facilitating self-service data, information and AI.
• Enable business users to discover, request and consume knowledge products without friction.
• Encourage mass adoption of data governance throughout the organisation.

This user-centred approach allows the value of knowledge is not confined to specialised areas, but flow with context and utility to all business units.

🧬 Metadata Lake & Active Metadata: the intelligent heart of the Knowledge Marketplace

In a modern data ecosystem, the real value is not just in the data, but in the context of the data.The following information is available: origin, use, quality, responsible parties, relations, legal conditions and policies. In other words, in the metadata.

But metadata can no longer be static or disconnected. To scale a Knowledge Marketplace, we need a Metadata Lake with the capacity to Active Metadata.

What is a Metadata Lake?

It is a centralised and governed repository that integrates all technical, business, operational, legal and organisational metadata in a structured, dynamic and enriched way, and makes it available to all systems and users.

⚡ What is Active Metadata?

The Active Metadata converts this metadata into live and operational elements, which:

• They trigger automatic flows and governance policies.
• They feed recommendation engines and contextual rules.
• They allow synchronisation with other tools in real time.
• They enable business decisions based on contextualised knowledge.

🧩 How does it materialise in the Anjana Data Platform?

Anjana Data Platform allows you to leverage all of its governance capabilities by building a Metadata Lake with the capacity to Active Metadata, al:

• Offer a customisable and extensible semantic metamodel, based on typed entities and relationships.
• Organise information assets by domains.
• Support a multitude of metadata attributes of different types, from the simplest to the most complex.
• Enable full lifecycle management of information assets and their different versions.
• Integrate a configurable event and policy system.
• Expose everything through open APIs and bi-directional connectors.
• Convert the metadata in the operational axis of governance and knowledge sharing.

🤝 Data Sharing Agreements and Data Contracts: clear rules of the game

In order for a Knowledge Marketplace scalable, secure and reliable operation, there is a need to establish explicit and automated sharing and governance frameworks. In this sense, Anjana Data Platform incorporates natively:

• Data Sharing Agreementsagreements between domains or external parties on terms of use, frequency, security, privacy, licensing, etc.
• Data Contractstechnical and business compromises between producers and consumers on the content, structure, quality, availability and maintenance of products.

These elements are fundamental to building trust and enabling sustainable knowledge-sharing models, interoperable and traceable, as promoted by initiatives such as IDSA, Gaia-X and the Data Governance Act.

If you want to learn more about these concepts, here are some additional resources:

• Data Sharing Agreements and governed data self-service
• How to successfully build an internal Data Marketplace for your organisation
• Factsheet: Data Sharing Agreements

🛡️ Proactive and preventive government vs. passive and reactive government

In many traditional approaches to Data Governance, In the case of the EU, policies are implemented late, when the problems have already occurred. Anjana Data is committed to a proactive and preventive model, in which:

• The government is integrates from the design of the knowledge product.
• It is validated ex ante compliance with policies, rather than just ex-post auditing.
• It connects directly to the demand management and daily operations, The new system, allowing the processes of access, use and re-use to be governed from the outset.

This approach facilitates the operationalisation of government, making it visible, measurable, and actionable, which is key to scaling a Knowledge Marketplace real.

If you would like to know a little more about the differences between these approaches, we suggest you take a look at this paper of our CEO Mario de Francisco.

🧩 Perfect fit with modern architectures

Anjana Data is aligned with the main emerging architectures:

• Data FabricAccess orchestration and governance over distributed data.
• Data Mesh: enabling responsible domains with federated governance.
• Data Spacessemantic, organisational, technical and legal interoperability between organisations.

All this, with metadata compatible with DCAT-AP, facilitating the exchange of catalogues and resources with European public and private platforms.

In this context, we have joint value propositions with the following vendors, offering native integrations with several of the technology pieces that they incorporate in their suites or platforms:

• Amazon Web Services
• Microsoft Azure
• Google Cloud Platform
• Denodo
• Cloudera
• Oracle
• SQL Server
• Snowflake
• Databricks
• Teradata

For each of these joint value propositions, there are also different approaches, depending on the capabilities to be covered or the final architecture to be built. Moreover, these value propositions are combinable, so that the resulting final architecture for a customer can be the combination of different joint value propositions, covering different capabilities depending on the technologies to be considered.

To take an example taken to the extreme, we could be considering a hybrid multi-cloud architecture with native AWS, Azure and GCP pieces, traditional DWH with Oracle, SQL Server or Teradata, an on-premise Datalake with Cloudera, a Big Data Platform in the Cloud with Snowflake or Databricks, a virtualisation layer with Denodo and all governed by Anjana Data Platform with the corresponding native integrations to cover the desired capabilities.

Thanks to this approach, the Knowledge Marketplace will always remain agnostic to the underlying technology architecture but we will be able to take advantage of all the native capabilities that support governance and are offered out of the box by the different pieces of that architecture (such as catalogues, metadata management, security, auditing, ...) and then integrate them into the higher level governance layer that will always remain in the Anjana Data Platform.

An example of such complex architectures can be found at this resource which we publish together with our partner Denodo.

📜 Compliance and regulatory alignment

The platform is designed in compliance with the main regulatory frameworks and international standards:

• Data Governance Act & Data Act
• DAMA-DMBOK2 (Special appeal)
• UNE 0077, 0078, 0079
• Gaia-X & IDSA
• DCAT-AP (interoperable semantics)
• AI Act (Special appeal)
• GDPR and Data Protection Laws (Special appeal)

This makes it possible to operate in both closed environments and open ecosystems with guarantees of sovereignty, ethics and legality.

📈 Vision endorsed by analysts and adopted by sector leaders

The evolution towards a Knowledge Marketplace is not just an emerging trend, but a reality backed by analysts and embraced by leading suppliers and organisations:

🔍 Analyst perspectives

• Gartner, in its report Hype Cycle for Data Management 2024, The report highlights the growing importance of the AI Data Marketplaces as key catalysts for data-driven innovation and advanced AI governance. .
• Forrester, in its report Data Governance Market Trends 2024, The report stresses that data governance is essential to power AI-driven applications, addressing challenges such as data silos and low data literacy. .
• BARC, in its Data, BI & Analytics Trend Monitor 2024, The report identifies data governance and data literacy as key trends for data-driven organisations. .
• IDC, in his study Worldwide Data Modernization Services 2024, The report evaluates providers in the data modernisation services market, highlighting the need for platforms that facilitate digital transformation and modernisation of data management. .

Adoption by leading vendors and alignment with modern architectures

The vision of Knowledge Marketplace as the backbone of data governance and knowledge management is perfectly aligned with the technology strategies promoted by leading cloud service and data platform providers.

Anjana Data Platform fits naturally into the environments of AWS, Microsoft Azure and Google Cloud Platform (GCP), thanks to its modular, fully unified, agnostic and scalable architecture. This integration is materialised through:

• Bi-directional native connectors that facilitate interaction with the identity, storage, processing and catalogue services offered by these hyperscalers.
• Full interoperability with multi-cloud and hybrid ecosystems, favouring environments where different technologies and distributed data architectures coexist.
• Government decoupled from infrastructure, This allows organisations to maintain control and traceability of their knowledge assets no matter where they reside or by what technology they are managed.

Our proposal also complements and powers platforms such as Snowflake, Databricks, Cloudera, Denodo and other widely adopted data technologies., The new system provides a unifying layer of governance, active metadata, contract management and business-driven user experience, enabling a true cross-platform view.

This approach places Anjana Data Platform as a solution agnostic, integrative and ready to operate in domain-oriented architectures, where data, AI products and information flow in a governed manner between services, clouds, technologies and users, meeting the highest standards of interoperability, scalability and digital sovereignty.

🌟 Pioneering customers adopting our vision

Our vision of a Knowledge Marketplace has been adopted by leading customers in a variety of industries who have transformed their data strategies to drive innovation and operational efficiency. These customers have successfully implemented Anjana Data Platform, highlighting:

• The ability to integrate data governance into operational flows, promoting a proactive and preventive approach.
• Ease of use for non-technical profiles, thanks to an intuitive interface and a reduced learning curve.
• Full interoperability with existing systems, facilitating frictionless integration into diverse technology ecosystems.

These success stories reflect how Anjana Data Platform not only anticipated the evolution towards a Knowledge Marketplace, It has materialised it, providing organisations with a living, governed and interoperable platform to transform their data strategy.

🎥 See it in action

👉 Demo: Knowledge Marketplace with Anjana Data Platform 25.1

🧭 Conclusion

The future of data is not about collecting assets, but about transform them into operational and shared knowledge.
This requires a living, governed, interoperable platform designed to scale.

Anjana Data not only anticipated this vision: has made it a reality.
With modular architecture, embedded governance, active metadata, contracts, automation, product focus, and user experience, it enables organisations to build your own Knowledge Marketplace new generation.

Ready to transform your data strategy?

This article has not used ChatGPT or any other Generative Artificial Intelligence to generate the content but has been produced entirely by a flesh and blood human.

Let us be clear, most of the strategies of Data & AI Governance The new policies promoted in recent years have failed, are failing or will fail.. And it is not only us who say so, but practically all the experts and the most reputable consultancy firms such as Gartner say so in a multitude of their reports.

In 2024, with the explosion and commoditisation of Generative Artificial Intelligence, the need for effective and efficient Data Governance is once again evident and the vast majority of organisations are beginning (or returning) to focus on launching initiatives to design, implement and operationalise data governance strategies. Data Governance, This time accompanied by initiatives from AI Governance.

This once again opens up a huge opportunity for organisations to transform themselves to finally become Data-driven But there is also the possibility that many of them will fail just as others have in the past, or that even those that have already failed will not have learned from their mistakes and will again make a major blunder.

In this sense, what an organisation may need will vary greatly from one organisation to another and that is why the people in charge of these initiatives and who do not have the necessary knowledge or experience to face the challenge with guarantees, work hard to read articles on the internet, train themselves in different subjects, ask experts, talk to consultants and/or manufacturers, ...

Different approaches to the challenge

In one way or another, these organisations usually end up contracting a consultancy project to a company they trust or they directly buy a technological tool, thinking that this will solve the problem.

From our knowledge of the market, what we see is that the vast majority of proposals for such organisations offer one of the following approaches:

1. Basic «Buy» technology approach: It usually consists of the deployment of a complete ecosystem of one of the major Clouds together with a discourse that claims to cover everything necessary with guarantees at an affordable cost (something that common sense would suggest is more than questionable). O platforms all-in-one which rarely give good results and are usually tremendously expensive and complex. In our humble opinion, we consider this strategy to be wrong because it only seeks to purchase technology and also requires high investments (although at first it may seem otherwise, especially given the aggressive discounts that some manufacturers offer for the first year).
2. Advanced «Buy» technological approach: It includes the implementation of benchmarks comprehensive studies in which the following are analysed different market tools from different perspectives, which then lead to the elaboration of a shortlist of finalists with which they intend to carry out one or more PoCs (often without really knowing what they want to test or what the analysed tools are going to be used for). Apart from the fact that we have seen few exercises of this type that are really well focused with a purpose other than «buying technology to solve a problem". automagically In our humble opinion, it is an exercise that does not add any value to the vast majority of organisations because they are not mature enough to be worth the time and effort required.
3. Build« technological approach: It consists of committing to the realisation of developments in software made-to-measure The problem with this approach is that it only serves to justify expenditure and to deliver something that will partially meet the identified needs. The problem with this approach is that it only serves to fulfil short-term requirements and has a very limited ROI. In addition, this approach does not accompany the organisation as it grows in maturity level, so at some point they will be forced to change their strategy as they will not be able to support the investment necessary to maintain and evolve a custom developed software that adapts to their changing needs and a maturity level that grows over time.
4. Traditional consultancy approach: It is the most typical and widespread and basically involves the realisation of a project of «PPT strategic consulting» which includes excessive analysis work for the subsequent preparation of a large number of «paper» deliverables that provide little or no value to the vast majority of organisations that want to have something tangible in a short time (less than 6 months) with which they can get started and from there grow and scale.

Our vision is that the formula has to be different from previous approaches in the vast majority of cases and that is why we are committed to innovative, differentiated and disruptive approaches and we ally ourselves with those who share our values and our philosophy and who also like to be very practical and pragmatic to be able to bring value to their clients without grandiloquent speeches and with much more reality than PPT, but being clear that technology is not an end but a means to face a business challenge.

The reasons to go for a different approach driven by #genAnjana

If you agree with us so far, then we speak the same language, you will understand perfectly what follows and you will ask us how we can help you.

So, here are the 7 reasons why you should consider Anjana Data to successfully implement and operationalise your Data & AI Governance:

1️⃣ We are recognised experts in Data Management, We have many years of REAL experience among our professionals and we don't sell Smoke and Black Magic. Any tools and/or words you've seen out there that contain Data o AI I'm sure we've read and researched about it and even rolled up our sleeves and got down in the mud in real situations, so we can help you demystify false beliefs, unmask the sell-outs, separate the wheat from the chaff and turn your vision into something down-to-earth that has a real impact on your life. tangible business impact.

2️⃣ We are a Product Company and Software Manufacturer, We don't offer professional services or consultancy beyond what is related to our own technology that we design, develop, maintain, evolve and commercialise ourselves, and we don't get involved where we don't contribute something really differential, so we know well what we do. We sell technology but with a purpose, we hate the Vendor Lock-In, We include a lot of documentation and training, we have a Value Proposition business-oriented, disruptive and differential and a Clear pricing model without small print. And because we are a very niche company, in order to reach where we can't reach alone, we have built a Ecosystem and a Community working hand in hand with our partners, we are unique in partners to offer the best possible service to our customers.

3️⃣ Our value proposition, our team, our technology, our positioning and our business model are endorsed by independent experts such as Gartner, the leading Cloud Service Providers (AWS, Google and Microsoft), several of the most cutting-edge and market-leading Software Manufacturers, top-level Consultancies and Integrators and different Associations, Organisations and Institutions in the world of Data and AI. In addition, we are Innovative SME and company GovTech and we have important certifications such as the National Security Scheme.

4️⃣ We know the market inside out and are aligned with the latest trends. (#DataSpace, #DataLakeHouse, #DataFabric, #DataMesh, #DataMarketplace, #AdaptiveDataGovernance, #DataSharingAgreements, #DataContracts, #DataOps, #AIGovernance, #DataEthics, #DataMonetization, ...) and the main frameworks (#DAMA, #UNE, #Gaia-X, #IDSA, ...), standards and regulations (#GDPR, #DataProtectionLaws, #DataAct, #DataGovernanceAct, #AIAct, ...) at a global level to which we also add our philosophy and vision based on our experience. We are not trying to reinvent the wheel, but rather we are trying to apply common sense and we choose to propose solutions that we have seen that work for specific problems, trying to avoid things that do not work, because we have experienced it in our own flesh.

5️⃣ We have been pioneers in the market for a long time and are always at the forefront. in our field of expertise but we are very practical and pragmatic, This gives us a long-term vision while focusing on the long-term goals of the Quick Wins that everyone wants in the short term. We started 2019 with a jaw-droppingly innovative and disruptive discourse that even the biggest players have now embraced almost word for word but that few have yet managed to truly materialise.

6️⃣ We are empathetic, honest, sincere, approachable, agile and flexible. but also tremendously professional and disciplined. Accompanying our clients in achieving their goals is what drives us and we always give a little bit more when it is needed but to be effective and efficient we need to maintain an methodology that we have proven to work, Our values define what we do and what we do not do, based on relationships of trust and avoiding the more traditional, rigid and heavy bureaucracy. Our values define what we do and the #genAnjana is something that if you catch it, you can go a long way.

7️⃣ Our clients and partners, All of them are leading organisations in the field of Data Management, both in the public and private sectors, and they speak for us. They are the most important and the real protagonists of all this, so we always try to get them to talk to each other, to share their concerns, their ideas, their experiences, their mistakes, their learning and their good practices, and thanks to this we can also grow together to improve our formula. We count on numerous real-life success stories that demonstrate that what we preach can be achieved and that the Proactive and Preventive Data Governance is not a utopia but something possible and achievable for any organisation regardless of its level of maturity.

Speaking of real use cases, here are a few examples

If you've made it this far and like what you're reading, it means that you share our vision, and that of our clients and our customers. partners. HOORAY!

At this point you are ready for us to tell you about some of the different use cases that you can implement with Anjana Data Platform.

As you may already know or have guessed from reading this article, organisations around the world, of different industries, sizes and maturity levels, rely on Anjana Data to implement a wide variety of Data Governance & AI use cases aligned with their data strategies.

Following our philosophy of adding value to the business, we identify among our customers different use cases which have been successfully solved thanks to the incorporation of the Anjana Data Platform in its stack technology, considering technological architectures and Data & AI ecosystems of very different natures.

In this sense, it is also important to identify the global requirements of the organisation in order to be able to provide the most appropriate solution approach to meet its business objectives, which may consider multiple technological architectures incorporating different pieces of different vendors which are natively integrated in order to build a fully governed Data & AI ecosystem.

The following is a comprehensive list of different initiatives that have been successfully implemented by our clients:

If you identify one or more of these use cases aligned with your strategy, do not hesitate to write to us, we will be happy to help you.

Finalists in two main categories

Our clients have been recognised in two key categories:

• Award for the Best Initiative for Cultural or Organisational Transformation
  Corporate data governance at the Universitat de Barcelona - University of Barcelona 

• Best GovTech Project Award. Anjana Data, Data Governance Platform of the Government of Aragon - Anjana Data S L

Finalist for the Best Initiative for Cultural or Organisational Transformation Award

One of our success stories has been selected for its outstanding contribution to cultural and organisational transformation. The University of Barcelona in its desire to advance in the implementation of a Data Driven culture, democratise access to data and bring information assets closer to the entire university community for use in reports, particular analytics and digital transformation projects has successfully incorporated Anjana Data Platform into its technology stack.

This project has demonstrated how a data governance strategy based on the DAMA framework and operationalised incrementally by use cases on our platform can radically change organisational culture, fostering greater collaboration, transparency and data-driven decision making. 

Thanks to this initiative, the University of Barcelona is a pioneer, standing out from the leading universities in Spain and Europe.

Finalist for the Best GovTech Project Award

The SDA - Servicios Digitales de Aragón initiative started 3 years ago with the aim of building a data platform that would allow the different governmental bodies in the Aragon region to Government of Aragon exchange information under a common governance model across the whole administration using advanced data sharing mechanisms based on Data Sharing Agreements.

Currently the initiative (led by Hiberus with the expert support of DQTeam) has become a reference for any public administration that wants to become Data Driven. 

The data platform built on AWS incorporates Anjana Data Platform as a piece of data governance and is aligned with the MAMD framework and the UNE specifications for Data Governance, Management and Quality promoted by the Spanish Data Office.

Our commitment to excellence and innovation

At Anjana Data we are proud to see how our clients are using our platform to achieve their goals and overcome complex challenges. Being finalists in the CNIS 2024 Awards is a testament to the positive impact our solution can have on cultural and organisational transformation, as well as the implementation of high-impact GovTech projects.

We thank our customers for their trust and collaboration, and congratulate all finalists for their dedication and commitment to innovation. These awards reinforce our commitment to continue to provide advanced tools that facilitate data governance and promote progress in the public sector.

Looking to the future

We look forward to the CNIS 2024 Awards ceremony and are confident that these accolades are just the beginning of many more successes to come. We will continue to work closely with our customers to ensure they continue to achieve new goals and effectively transform their organisations.

For more information on the finalists and the CNIS Awards 2024, please visit the official CNIS website.

Thank you for joining us on this exciting journey towards excellence in data governance!