From Anjana Data We continue to share our most relevant success stories with the aim of giving visibility to how our customers are getting value thanks to the implementation of our platform to achieve traction in their Data Governance initiatives as well as to demonstrate how Anjana Data is integrated into different technological scenarios.

Therefore, after having published the first success stories in different environments of the Public Administration, today we want to discuss Vocento, an innovative and independent communications group that develops content and services in all territories. A success story that highlights the integration of Anjana Data (Data Governance & Analytics Platform) with Omma Data (Data Quality Tool) together with the Data Governance and Technology and Infrastructure departments of Vocento, and with Matica Partners as integrator.

The identified needs relate to administrative functions, in terms of information management; operational functions, in terms of the daily operation of this information; and executive functions, in terms of the visualisation and presentation of this information. From this point, objectives were set, such as implementing the necessary governance policies and norms of quality; identifying the sources of data used in the transformation processes and defining the movement of this data to the DataHub (data centralisation) for processing and consumption; ensuring democratisation and federation of data in Vocento; and defining roles and responsibilities, providing them with the necessary tools and functionalities to carry out the actions that will enable them to fulfil these responsibilities, among others.

Vocento now has a centralised Data Governance & Analytics platform where it can consult and manage the organisational units, the entities available, the lineage and traceability, the workflows, the marketplace and the implementation and integration of data quality. In addition, challenges have been overcome such as the integration of Anjana Data with Vocento’s technological scenario, the establishment of basic rules and a common language for all users and the implementation of a data culture within the organisation.

Anjana Data stands out for its flexibility and adaptability, and its integration with Omma Data enhances all its functionalities. Remember that you can contact us through our DEMO form To learn more about the innovative vision that we offer at Anjana Data. Discover the complete resource about Vocento's success story.

LADY establishes a compilation of good practices for data management, where two concepts stand out: Data Governance and Data Management. However, these two concepts must be differentiated because they imply a separation of functions between supervision and execution. Data governance is responsible for ensuring that data is properly managed to turn it into a strategic asset from which an organisation can derive value. business value, while data management is responsible for executing the corresponding activities in order to achieve the goals for which the data is available.

Data Governance, according to the DAMA framework, must meet three key characteristics. Firstly, it must be sustainable over time to accompany the organisation throughout its life; secondly, it must be embedded to be incorporated into the organisation's day-to-day processes; and thirdly, it must be measurable to be able to demonstrate the improvements achieved through its implementation.

In this context, the key question we want to answer today is: How does Anjana Data assist organisations in the implementation and operationalisation of the DAMA framework?

First of all, from the point of view of solution design and functional architecture, Anjana Data is fully aligned with the DAMA framework and maintains its same principles, which is a very relevant first starting point.

In addition, the configurability and flexibility The platform's features allow for a very high degree of adaptation and customisation, so that organisations can adapt it according to their specific needs to meet their requirements arising from the implementation of the framework to their reality and degree of maturity.

Furthermore, following the guidelines of the DAMA framework, Anjana Data...

• Promotes governance that is agnostic to data storage, processing, and management technologies.
• Understands data governance as a bespoke solution for each organisation.
• Understands stewardship as accountability and responsibility for data assets and processes that ensure effective control and use of data assets.
• It is designed to be flexible, configurable, intuitive, and user-friendly with the objective of facilitating its use in the organisation's day-to-day operations.
• It remains aligned with the organisation's strategy, and therefore, with the business.
• Encourages the idea that all functionalities promote proactive and preventive governance as opposed to the traditional passive governance offered by other governance tools on the market.
• It differentiates the monitoring function (Data Governance) from execution (data management).

Discover through the following RESOURCE todos los detalles sobre cómo Anjana Data se ajusta al marco DAMA.

From Anjana Data We really wanted to share openly with all of you how we answer the typical questions we are always asked after a demo of our Platform: «Which organisations use Anjana Data?»; «What has been their path to implement it and what use cases are they working on?»; «How do we help these organisations and what impact does Anjana Data have on their data strategy?».

And what better way to do it than by sharing some of our most relevant success stories, since this way we can share first-hand the benefits that are being obtained by those organisations that have trusted us. With this objective in mind, in the coming weeks we will be launching a series of resources in which we will describe how some of our customers are obtaining value thanks to Anjana Data, what needs they are covering, what use cases they are addressing, what objectives they have set, how Anjana Data fits into their architecture and, very importantly, what challenges they have overcome to obtain those benefits.

And to kick off this initiative, we are going to start with a very special success story for us, the Government of Aragon, in which we have worked with our partners Hiberus and DQTeam on an architecture based on AWS.

In the Government of Aragon, Anjana Data is a key piece in the architecture based on native AWS Public Cloud services that was designed for the construction of its Data Governance Platform. This platform aims to make it easier for the different departments of the institution to have a secure space through which to expose the data they have, related to citizens, available to other administrative units dependent on different departments that may need it. The platform makes it possible to do this in a secure and agile way, reducing the time of the personnel dedicated to the management of documentation, so that this is converted into quality time for the attention to the citizens.

The platform aims to build bridges between different departments to promote the sharing of data; the aim is to build this integrated vision of data to achieve a data-driven organisation. This is a transformational change that is not only based on technology, but is supported by other pillars such as organisation, regulations and standardisation. Technology is the enabler of the project, but without the business part it is impossible to carry out the project.

The first part of this project consists of this organisational change, in which the departments cease to operate independently to centralise data sharing, and all this with all the guarantees of security, both legal and technical. This process is materialised thanks to DSAs (Data Sharing Agreements), i.e. through a data sharing protocol.

Eleven data sharing is permitted, it must undergo a standardisation process (establishing the same language for all departments), so that the data is homogeneous. The next step is to establish an active data governance framework, which allows all the data available to the platform to be inventoried and controlled.

Discover how Anjana Data has been involved in the creation of the Data Governance Platform of the Government of Aragon by descargando el recurso completo. Remember that you can contact us through our DEMO form To learn more about the innovative vision that we offer at Anjana Data.

Access the resources in the form of document and video of the Data Governance Platform of the Government of Aragon.

Anjana Data, the most innovative Data Governance & Analytics platform on the market for the implementation of flexible governance, presents its new version 4.4, which includes new features and relevant elements that enrich the user experience, with new UX & UI capabilities, advanced workflow configuration and other components in terms of functionality coverage.

One of the highlights of this new version 4.4 is the new user assistance and customisation capabilities in the Data Portal, where a new functionality for saving customised filters has been incorporated. Thus, the user can save a search previously performed in Anjana for later reuse or modification. This search includes the filters, the options to view all versions and relationships, and the search engine box in the header of the platform. Also included are improvements in the visualisation of information, new options for user aliases, roles and organisational units, and the possibility of including a stylesheet for the platform's web front end that allows customisation of both the colours of the application and some other aspects of the interface.

In addition, Anjana Data 4.4 includes new features in relation to workflows. On the one hand, it incorporates the possibility for users to perform a massive approval of workflows so that they can be validated with the same response and the same comment and, on the other hand, it incorporates in the Configuration Panel a functionality that allows to validate the workflows configured before being deployed to avoid that there are two with the same ID and this generates conflicts.

Additionally, we can observe an evolution in the lineage and visualisation capabilities of the knowledge graph, for which a configuration option has been added to limit the graph visualisation according to the number of objects and nodes to be displayed. A new button has also been included in the interface to allow users to launch the complete lineage calculation on demand.

The latest version of Anjana also brings improvements in the loading and importing objects through Excel templates, including more casuistry in error control and reducing the processing time of imported files.

Regarding technical matters architecture In addition to these aspects, a communications encryption protocol has been included in Tot Plugins (those used for integrations with other technologies) and another encryption mechanism for those configurations that may be sensitive.

Finally, new alerts have been added to the notifications module, the possibility of sliding easily between the columns of the administration panel, and the capabilities of the administrative API have been extended, such as the possibility of terminating a workflow in the event of an error in the validation process or the bulk editing of a complete list of objects.

Discover all the information about Anjana Data v4.4 by downloading the Release Notes.

Yesterday, 20 September 2022, the first edition of the Data Management Summit in LATAM A meeting was held, aimed at CIOs, CTOs, CDOs, Chief Data Officers and all types of professionals and experts in the Data Community. Anjana Data was a Gold Sponsor of the event, and contributed all its experience through a success story and its participation in one of the most important round tables of the meeting.

Anjana Data sponsored the speech of Eduard Gil Carbo, Chief Digital Officer of Hospital of the Holy Cross and Saint Paul, in which he highlighted the problems and challenges faced by an organisation when implementing a Data Governance model; talking more about processes and people than about technology. Among the challenges for change management, the CDO highlighted the resolution and definition of terms through a Business Glossary, the involvement of the entire organisation, the contribution of value to the information recorded in the systems generated on a daily basis and the lack of resources and data management in the organisation, among others. Thanks to the implementation of Anjana Data, the Hospital de Sant Pau has been able to tackle all these problems, focusing on the importance of calibre de datos.

Mario de Francisco Ruiz, Chief Executive Officer of Anjana Data, participated in the round table ‘Data Mesh vs Data Fabric’ together with Fernando Mateo, Vice-dean, Nebrija University Higher Polytechnic School and Nebrija Business School; Michele Iurillo, Country Manager Spain & Latin America at Irion; Santiago Javier Rosero Valarezo, Corporate Head of Data Management at Pichincha Corp; and Ray Ludeña, Head of Data Architecture at Banco BCP, as moderator.

During the conversation, the CEO of Anjana Data emphasised that «Data Mesh is not a technical or technological issue, but rather a much more organisational and architectural issue., but of data, not IT architecture. He went on to say that data architecture, as DAMA tells us, is between business architecture and application architecture; it is what translates these business needs into data implementations, which are then technical software implementations.

Mario de Francisco concluded that «Data Mesh is a vision that data can serve many purposes, not just one use case. When to implement this depends a lot on the maturity point of the company.» In addition, his last intervention at the table was to highlight the importance of organisations focusing on people and processes, before going to that last step which is technology.

Anjana Data will also be Gold Sponsor at the third Spanish edition of the DMS, which will be held on 19 and 20 October 2022. For this event, registrations are already available, and in the coming days we will announce the agenda along with all the details of the meeting that will be held in a hybrid form in Madrid and online.

New version, new certification!

From Anjana Data We continue to renew and evolve to offer updated training on the most innovative and disruptive solution for Data Governance in the market. Thus, we are very pleased to announce that The new Anjana Data Official Certification is now available on the new Official Training Platform. 

What levels will the new Anjana Data Official Certification include? 

The new levels are divided into two paths: User and Admin. The User Path is aimed at users of the tool, both business and technical users, and is divided into Fundamentals and Expert levels. The Admin Path is aimed at advanced profiles that need to know all the flexibility and customisation capabilities offered by the tool and that allow the operationalisation of data governance through a tailored suit, and is divided into Functional Administrator and Technical Administrator levels. Thus, the new training levels are as follows:

• Fundamentals: Aimed at technical and business users who need to manage the tool and make use of all its functionalities. Anjana Data is not only a governance tool but encompasses a whole philosophy based on good governance and data management practices that is explained in this certification.
• Expert: Aimed at advanced users who want to know all the details of the solution, data model, use of Grafana as a reporting tool, etc. (Coming soon).
• Functional Administrator: Aimed at functional users who want to get the most out of the tool, design a configuration that will lead their organisation to become data-driven and/or evolve the configuration by using the administrator panel.
• Technical Administrator: Aimed at technical users who need to know how to configure the tool according to the defined functional requirements. This level teaches how to configure the database, configure the configuration YAMLs, manage the IAM tools, design workflows, and use the Anjana Data administration panel.

To gain access to any of these levels, the student must first have completed the Fundamentals level (or the former User level) of the Anjana Data Official Certification. Additionally, the levels of the certification are progressive according to the area of work that the student wishes to study and can also combine levels from both areas in order to have a more complete vision of the solution. 

 How long are the certificates from the previous certification valid?

All certificates that were issued through the old Anjana Data certification, which was hosted on the Hadoop Training platform, will expire as of 1 July.. From then on, and once users have passed the new courses, the certificates will expire after the release of each major version. All this with the exception of the User/Fundamentals level, which is valid indefinitely, since the course only covers the basic concepts of Anjana Data.

How long are the new certificates valid?

All courses require a minimum percentage of 80% in the examination to be passed, and the certificates have a time limit of validity.. Therefore, at Anjana Data, we recommend reading the general information about each of the levels available on our website and on the Official Training Platform. Likewise, we suggest the renewal of the Official Certificate of Anjana Data given its new functionalities and updates of the solution, thus revoking the previous version already obsolete. The purpose of it is to endorse that all those students who have passed it are apt and have the knowledge and skills sufficient and necessary to perform the tasks related to Anjana Data, from its daily use in an organisation to the implementation and complete configuration of the solution.

When will the new platform be available?

The new platform is available from today, 1 June 2022, through the Anjana Data Official Training Platform and registrations will be made only through the form available on the official website of Anjana Data, in the ‘Certification’ section. Therefore, the process of renewing the Anjana Data Official Certificate and its registration can be done from today until the next 7 days, with the previous platform being cancelled and access to the training documentation ceasing from 7 June, running on the user's side of their registration and enrolment in the new platform. 

Do you have any questions?

If this article has not resolved all your queries, please contact us by e-mail at formacion@anjanadata.com .  

Anjana Data is the innovative and disruptive enterprise solution for Data Governance; designed to help organisations in the implementation of their data strategy. The training offered by Anjana Data certification aims to enable students to help the entity in its data-driven path with a more general vision of what it means to implement a Data Governance programme in an organisation thanks to Anjana Data.

Following the same line that has led Anjana Data To become one of the most innovative and disruptive Data Governance solutions on the current scene, we present the new version 4.3, which brings a series of relevant evolutions and improvements in terms of the design of the entire tool, with new advanced UX & UI capabilities to improve the experience of different types of users, as well as improvements in the performance of the solution and some other new features in terms of functionality coverage.

The evolution in UX & UI design is one of the most significant changes in the new version of Anjana Data, including general improvements in the dynamic forms, the evolution of the designs of some UI screens unifying colours and styles, the introduction of graphic and intuitive elements to facilitate the interaction of users with the application, and the creation of new screens for the massive management of objects.

The new multi-language management capabilities is another of the distinguishing features to be highlighted with respect to other Data Governance solutions. In addition to having a multilingual interface in previous versions, this new 4.3 version allows the configuration of different languages for managing the content of the metadata attributes of the governed objects. This option also applies to practically all the functions of the tool, from auditing related to the governed objects to the notifications of the solution itself.

Additionally, it is also worth mentioning the evolution in the object bulk management capabilities, both through the interface and the APIs, since Anjana Data 4.3 includes the object bulk editing functionality from the UI for those users who have the corresponding permission configured. Thanks to these changes, the user will be able to mass edit a list of attributes for several objects of the same subtype.

Anjana Data 4.3 also includes an evolution in the configuration. capabilities of validation flows, allowing the complete evaluation of the object at the beginning of any workflow in order to design alternative paths based on any attribute and logical rules. Additionally, it incorporates the possibility of configuring attributes for which it is not necessary to launch a validation workflow.

Another of the most relevant aspects to be highlighted is related to snapshot management, since this version makes it possible to download snapshots of the governed objects both from the Anjana Data UI and from the APIs. Thus, the user will be able to download a snapshot with all the information of the object at any time of its life cycle in order to know the snapshot of an object at a given moment.

The latest version of Anjana Data also includes improvements with respect to the gestión de roles y permisos, as it adds the possibility of assigning a default role to users who register for the first time in Anjana. This role grants the configured permissions to users who, initially, do not have a specific role in the application. In addition, it also incorporates the use of user and role caching to improve application performance, and an alternative internal authorisation mechanism that avoids the need to use an external identity management system.

Finally, the architectural Improvements focus on upgrading to the latest version of Angular, design enhancements thanks to the incorporation of the ng-zorro library and the use of grids for graphical interfaces, improved performance of microservices, centralisation of UI error management, inclusion of Kubernetes operators for several modules, and availability of two new kits: one for deployment automation using Ansible and another for advanced monitoring of the platform with Prometheus and Grafana.

Discover all the information about Anjana Data v4.3 by downloading the Release Notes.

When we created Anjana Data As an independent company in mid-2019, we could not have imagined that in just two years we would be recognised by Gartner as one of the most relevant solutions in the global Data Governance market, one of the most demanding markets, which has been changing radically in recent years, a market in which almost all the leading vendors in data solutions are signing up, in which we compete on a daily basis with multinational companies with a lot of muscle and very powerful solutions, and in which every week new start-ups present innovative solutions or new open-source Initiatives are launched, seemingly promising.

Moreover, it is a market where there is still a long way to go and a lot of evangelisation to be done, with very high barriers to entry and very long sales cycles, so at first glance everything would suggest that entering the Champions League and rubbing shoulders with the most representative vendors It seems complicated. But sometimes these things happen and it is then that you look back and realise how much you have achieved in such a short time. It is then when you really think that being faithful to a philosophy, putting it into practice and transmitting it with passion can be more powerful than the solutions that have been leading the market for years, than the marketing messages launched by the most powerful technology companies in the world or than their sales teams with their commercial strategies.

And that's also when, after you've puffed out your chest a little at the recognition of having done well, you feel like thanking a lot of people. That is why this article has three main objectives:

1. To echo one of the most important milestones to date for Anjana Data (It is not every day that you are recognised as one of the most representative vendors worldwide in your market).
2. Carry out a small market analysis in which we are framed (the typical analysis of where we come from, where we are and where we are going).
3. And, of course, a big thank you to To all those who have placed their trust in Anjana Data and, of course, to those who have not. Both have given us the strength to get this far and continue to give us the strength to continue on this journey, which has only just begun.

Commencing with point one, we are delighted to share with everyone that Anjana Data has been included by Gartner in the Market Guide for Data and Analytics Governance Platforms as one of the most outstanding solutions in the market for Data Governance. Moreover, it is especially relevant to point out that it is the only British solution of all those included and also the only one that generates genuine content in Spanish as the main language (although we also translate it into English as it is commonly accepted as the universal language in technology and business).

The market for technology solutions that support data governance is evolving at a very fast pace, and that is why Gartner has begun to replace some of the most recognised Magic Quadrants in this segment with other types of reports such as Market Guide and Vendor Identification Tools. In this context, in December 2021, Gartner published those related to what they have called Data and Analytics Governance Platforms and in both of them Anjana Data appears as one of the leading solutions on the market.

Specifically, being included in the Market Guide puts Anjana Data in a privileged position, as this report only selects the most representative vendors in the market that meet a series of capabilities and requirements, which have been evaluated by some of the best independent analysts following a methodology of recognised prestige.

And what is meant by Data and Analytics Governance PlatformsWell, Gartner states the following:«A data and analytics governance platform is a set of integrated business capabilities that help business leaders and users to evaluate and implement a diverse set of governance policies and monitor and enforce those policies across their organisations’ business systems. These platforms are unique from data management and discrete governance tools in that data management and such tools focus on policy execution, whereas these platforms are used primarily by business roles, not only or even specifically IT roles.

Therefore, Gartner establishes the following capabilities within the scope of this type of platform:

• Access control
• Enable metadata
• Analytics
• Business glossary
• Connectivity/integration
• Data catalogue
• Data classification
• Data dictionary
• Data lineage
• Impact analysis
• Representation of information policy (high level)
• Matching, linking and merging
• Orchestration/automation
• Profiling
• Rules management (low-level)
• Tag management
• User interface (as support for all governance-related roles)
• Gestión del flujo de trabajo
• Task management
• Model management
• Security (on the platform itself)
• Organisation and role models

Regarding the market, as Gartner points out: «The data and analytics governance platforms market is in its infancy. Overall, data and analytics governance has attracted technology investments that provide organisations with capabilities from a range of technologies, both broad and deep.

The importance of this market in the current ecosystem is therefore clear, as is the long road ahead. Gartner also states that this is due to the difference in capabilities required between Data Management and Data Governance: «There is a need for convergence of capabilities with the recognition that the work of data and analytics governance is different than the work of data management. Although the capabilities that serve both are similar, the context in which those same capabilities are used differs between governance and management.».

In this context, we can analyse the main drivers que han llevado a la evolución del mercado and also those that will shape the future of the market, which goes far beyond the functionalities and features offered by this type of solution.

If we focus on the functional vision of these solutions aligned to the business requirements of the organisations:

• Data is becoming one of the most important strategic assets for organisations and they are all striving to become Data-driven. This means that data as an asset ceases to be something under the umbrella of IT and becomes of much greater interest to business areas, which demand technological solutions with a business vision, facilitating the management and governance of the data they work with on a daily basis. This is why they are also beginning to require intuitive solutions with a more manageable learning curve.
• The consolidation of the data economy and the need for organisations to share reliable and quality data Both internally and externally, this has led to the creation of data spaces, which must be based on fully governed ecosystems that provide reliability and transparency to the processes of publication, sharing, and consumption of information. This requires technological solutions that support such creation and facilitate its operation and maintenance.
• The emergence of concepts that are closer to the language of business such as «Data Culture», «Data Literacy», «Breaking information silos», «Democratisation of data», «Self-service of information», «Monetisation of data or Infonomics» and an increase in the capabilities of non-technical profiles when working with data mean that data management has to be understood from a non-technical point of view and with a clear objective of generating value for the business.
• The need for agile and flexible procedures supported by clear and concise policies that are understood and adopted by all those involved in the organisation makes it necessary to have technological tools that help with the operationalisation and automation of these procedures, involving the different actors identified.
• The emergence of new regulations and standards Both at sectoral and governmental levels, organisations are deciding to invest more in technological tools to ensure data governance and auditing of their processes.
• Organisations are beginning to perceive the value of data governance in terms of increased efficiency, cost reduction and better management of the risks inherent in the use of data, with the result that investment in this type of solutions is beginning to grow, but above all with a focus on achieving the automation of common technical processes. In this context, tools that are disconnected from the rest of the data ecosystem and that do not rely on the collaboration of different profiles to achieve these objectives are no longer an option.
• It has been demonstrated that a Big Bang approach is not suitable for this type of transformational initiative, so solutions that are very complex to implement are also discarded in favour of models that are much more iterative, incremental and scalable. In addition, given the need to adapt and customise solutions to the operational reality of each organisation, tools with out-of-the-box Models that are not very flexible and extensible are no longer considered relevant.
• The explosion in the use of Artificial Intelligence and Machine Learning and the low profitability obtained from this type of initiative despite the large investments made forces organisations to rethink their management and governance models for the raw material that feeds the algorithms, the data. This means that, once again, the ability to adapt and customise a data governance solution is key to being able to cover these scenarios.

On the other hand, if we think from a more technological point of view and from the point of view of fitting in with the technical architectures of organisations:

• The maturity reached by key technologies such as IoT, Big Data and Cloud enables organisations to have at their disposal a multitude of data and capabilities to obtain value from their exploitation at a much lower cost than in the past. This means that huge amounts of data (structured, semi-structured and unstructured), in a multitude of different formats (tables, views, files, documents, images, audio, videos, events, etc.), and with different generation frequencies (streaming, real-time, near real-time, batch, etc.), now have to be managed and governed, with all that this entails from a technical point of view.
• There is a flood of new technologies specialised in solving specific problems in the different phases of the data lifecycle, coinciding with a low acceptance of technological standards, which makes the variability of formats and types of data and processes to be managed and governed literally unmanageable. This situation is exacerbated by the fact that many legacy systems or customised developments are still being maintained using obsolete technologies and black boxes, the guts of which are not easily accessible or interpretable. Technology that offers value-added features is therefore required to manage these types of integrations or even native integrations between solutions from different vendors as as well as company acquisitions and integrations are becoming more common.
• The vast majority of organisations that want to become data-driven or those born with this vision are beginning to position themselves clearly towards the consolidation of hybrid, multi-cloud, scalable architectures, without black boxes, interoperable and based on integrated solutions made up of different pieces. The search is no longer for a large all-in-one platform with on-premises deployment, vendor lock-in is being avoided, open-source is losing ground (examples such as Hadoop-Cloudera, Kafka-Confluent, Spark-Databricks, etc.), open solutions are being sought with internal data repositories available for exploitation, which are easily integrated into any technological architecture (API-first) and, above all, Cloud-first solutions are being prioritised.
• Cloud providers are gaining so much weight in the current ecosystem that the use of their native services managed by any technology is becoming almost essential for architecture and infrastructure teams in order to facilitate deployments, operation and maintenance of technical platforms. It is also becoming very important to have different deployment alternatives and service models, seeking automation in CI/CD circuits and giving a lot of weight to the presence of solutions in the different marketplaces of Cloud providers as Cloud-native applications.
• New concepts of data architecture and technical architecture such as Data Lakehouse, Data Fabric, Data Mesh, Data Marketplace and DataOps are beginning to gain momentum in the market, promoted both by the main analysts and gurus and by the vendors themselves. Organisations trying to adopt this type of model require technological tools capable of operationalising them and taking them from paper to day-to-day reality, which requires flexibility and adaptability capabilities that were not necessary until now.

And finally, if we take into account variables more linked to economic aspects:

• It is no longer common to invest in tools that require a high initial investment, since organisations' budgets are very tight and there is a growing internal demand to demonstrate a positive ROI in the short/medium term to convince senior management that the investment in this type of technology is worthwhile in the long term.
• Following the model offered by cloud providers, there is a move away from the custom of acquiring perpetual licences for a specific software version towards the search for much more flexible pricing models oriented towards pay-per-use, without excessive permanence commitments and which include a series of value-added services (constant updates, support included, access to development resources, training and communities of interest, etc.).
• Organisations seek models that do not compromise their scalability in in such a way that, while they demand licensing models linked to pay-per-use, they also request special conditions for high volumes of use (users, concurrency, use cases, storage, processing, etc.) and heavily penalise hidden or indirect costs based on variables over which they have no control (connectors, fonts, professional services, customised developments, expert support, etc.). All this has a direct impact on key aspects such as time-to-value, time to market and Total Cost of Ownership.
• Invoicing through Cloud providers (via Marketplaces) is becoming increasingly common, and organisations value it positively because they are able to reduce suppliers, centralise IT costs, improve their management, and also obtain special conditions and discounts because cloud providers themselves are pushing both. vendors and customers to adapt to this new scenario.

 In short, Gartner states the following regarding the needs that solutions focused on this market have to meet: «The needs associated with data and analytics governance have never been centralised and consolidated, yet time and again, siloed solutions were the only tools employed. If the level of data and analytics governance support does not reflect the realities of digital business, critical business operations will function suboptimally or fail, causing significant and lasting damage to the organisation. This is evidenced by a recent data and analytics governance survey, which shows organisations falling well short of reaching their governance objectives. Even when they do not fail outright, business operations will limp along meekly and gradually decline in performance, leading to ever-greater malaise. If, however, the level of data and analytics governance is overbearing, complex or overengineered, or continues to be fragmented, the time to value of the initiative will be impacted, and less business value will be delivered at a higher cost.

And with all this, the logical question that arises is: How does Anjana Data position itself in this market and what is our value proposition? Well, if you are still reading this article and you still don't know what Anjana Data offers compared to other solutions, apart from covering the functionalities already identified, I will summarise them for you in these lines:

• It provides a collaborative approach with a business vision but with a global reach at all levels of any type of organisation, serving as a meeting point for both business and technical profiles thanks to the personalisation and customisation capabilities of the operating model.
• It enables the creation and maintenance of a common language for the entire data ecosystem, fully customisable and adapted to the organisation without the need to be subject to technological developments thanks to the implementation of a metamodel. «TECHNOLOGY-AGNOSTIC METADATA-CENTRIC».
• The possibility of creating a one-stop shop for different data stakeholders, integrated with demand management, covering their different needs in a personalised way thanks to a carefully designed UX&UI that is particularly intuitive and with a manageable learning curve.
• Native bi-directional integration with a multitude of technologies of different nature, with varied characteristics and serving multiple purposes related to data management.
• Capabilities for the implementation of «PROACTIVE AND PREVENTIVE GOVERNANCE» so that an organisation can build Data Marketplace, Data Fabric and DataOps ecosystems based on the automation of common technical processes and on the Governance-first and Governance by design principles fully integrated with its data platforms.
• A state-of-the-art funcional y técnica, based on the fundamental principles of modularisation, scalability, interoperability, flexibility and adaptability, and supporting complex hybrid, multi-environment and multi-cloud scenarios.
• Without black boxes and with multiple alternatives for extending the solution's own capabilities as well as for developing new connectors, and the possibility of launching customised actions or ad-hoc developments through the use of interceptors or the configuration of tasks in the steps of the natively integrated BPM workflows.
• Leverage, take advantage of and complement all the capabilities of native cloud technologies, both those with a greater focus on governance (identity management, data access permissions management, data catalogues, data structure management, audit log monitoring, etc.) and those oriented towards data processing (ingestion, storage, processing and exploitation).
• Native use of the services managed by the cloud providers themselves to facilitate everything related to the management, operation and maintenance of the infrastructure (provision of machines, deployment of services, installation, configuration of connections, application of security policies, monitoring, back-ups, high availability, etc.).
• Disponibilidad de la solución en los Marketplaces de las principales nubes in different modalities adapted to the needs of the clients (from transactional native application with IaaS/PaaS deployments to SaaS and BYOL modalities).
• Pricing model adapted to the changing needs of organisations to reduce initial investment as well as time to market, time-to-value and TCO while maximising the ROI related to the implementation and use of the solution.

Finally, regarding the future of the market, Gartner states the following: «The points above refer to and focus on the capabilities organisations need to meet their data and analytics governance needs. This does not dictate how vendors will behave. Some will partner and integrate solutions to form interoperable platforms. Some will acquire others to attempt the same. Some will remain focused on niche or stand-alone segment needs. The next few years will be marked by ongoing and increased acquisitions and developments, even as other markets such as data management, analytics, BI and data science develop capabilities in this lucrative and growing market.

We are therefore faced with a tremendous opportunity but also with the unpredictability of the market, although what is clear is that the adoption of solutions in this segment will experience exponential growth in the coming years and will surely tend to stabilise and achieve the necessary maturity for organisations to obtain the value they need through the management and governance of their data.