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.

We are pleased to announce that, thanks to our close strategic partnership with Amazon Web Services (AWS), We have launched a Free Trial version of our platform in SaaS mode, now available to the public at the AWS Marketplace. This initiative not only represents an important milestone in our journey, but also reinforces our commitment to breaking down the barriers to entry that currently exist for any organisation to implement a advanced Data Governance & AI platform.

What does the Free Trial version include?

The version Free Trial from Anjana Data Platform in SaaS mode allows organisations to experience first-hand all the key functionalities of our platform in an environment sandbox independent and independent. Thus, for a limited period of time, AWS customers will be able to access, free of charge, the full capabilities of Data Governance & AI that our platform offers. This trial version is an exceptional opportunity for any organisation to evaluate how Anjana Data can transform its approach to operationalising its Data Governance & AI Model.

Most notably, thanks to our partnership with AWS, all costs associated with SaaS during this trial period will be covered by AWS. This means that organisations can explore and test the platform without compromising their budget, allowing them to make informed decisions about future technology investments.

Benefits for AWS customers

Anjana Data Platform integration into the AWS Marketplace provides AWS customers with a significant advantage: the ability to rapidly deploy the most innovative and differentiated Data Governance & AI Platform on the market directly from the AWS infrastructure they already use. This not only simplifies deployment, but also ensures that data remains within the secure and trusted AWS environment, complying with the highest security and privacy standards.

The Free Trial version allows organisations to conduct a thorough evaluation of the platform, understanding how Anjana Data Platform aligns with their specific needs and strategic objectives. In addition, the SaaS mode facilitates agile and flexible deployment and greatly simplifies all maintenance and administration tasks, thus reducing the operational burden and allowing organisations to focus on what really matters: extract value from their data.

Professional Services on AWS Marketplace

In addition to the SaaS offering of the Anjana Data Platform, we have also made available on the AWS Marketplace our Professional Services offer in a public way. Through this option, both our customers and our partners can hire bags of hours of expert support from our Customer Success and Global Support teams both for Proof of Concepts (PoCs) and for the implementation of our platform. This offering is ideal for those looking to ensure a smooth and effective transition to a Data & AI driven ecosystem optimised with Anjana Data.

A strategic relationship that enhances value

Our collaboration with AWS is not simply a technology integration; is a strategic alliance that continues to evolve to maximise the value we deliver to our customers. By combining Anjana Data's Data Management & AI expertise with the infrastructure and global reach of AWS, we deliver a unique and powerful value proposition. This synergy allows us to not only offer advanced solutions, but also to tailor them to the specific needs of each organisation, ensuring successful implementation and a clear and measurable ROI.

At Anjana Data, we are committed to our customers' success, and we strongly believe that these new offerings in the AWS Marketplace are an important step in that journey. We invite all organisations interested in improving their Data & AI Governance to take advantage of this opportunity and discover how Anjana Data Platform can transform their Data & AI Strategy.

Start your Free Trial today in the AWS Marketplace and join the new era of Data Governance & AI with Anjana Data and AWS.

Anjana Data has positioned itself among customers, consultants and experts as one of the best alternatives to the data governance solutions currently leading the market due to its innovative and disruptive approach. Anjana Data provides organisations with a number of value-added differentiating features while empowering them to implement effective and efficient data governance.

Anjana Data stands out in three ways fundamental pillars, making it the most innovative and disruptive solution for data governance on the market. With a approach collaborative, proactive and preventive government, focused on metadata and agnostic to data processing technologies, a architecture state-of-the-art, scalable and interoperable platform and a revolutionary licensing model With its pay-per-use model, Anjana Data is poised to change the way organisations understand, implement and operationalise their data governance programmes. 

As a product-oriented company, 100% also has a very aggressive roadmap to continuously evolve and expand the capabilities of the solution in each version, as well as to develop native integrations with a multitude of data storage, processing and exploitation technologies in order to implement proactive and preventive data governance as a facilitator of DataOps. This strategy also includes building a broad ecosystem of partners to help customers on their data-driven journey.

In addition to the aforementioned features, to address the current challenges involved in implementing a data strategy within the organisation, Anjana Data relies on value-added features that will provide the necessary tools to empower stakeholders of data within the organisation, enabling them to implement effective and efficient data governance.

In this way, the solution focuses on the HOW rather than the WHAT.

“We believe that a renewed and purpose-driven data governance is possible if we focus not only on WHAT needs to be covered in terms of functionalities but also in HOW These capabilities will be integrated into the organisation's business processes and technological architecture. This change in mindset gives organisations the ability to operationalise data governance, unlocking the full potential and value of their data. – Anjana Data Team.

Today, organisations face many diverse and difficult challenges when it comes to implementing a data-driven strategy. In this regard, there is a new paradigm in which DATA becomes a strategic asset that must be governed in a different way than we were accustomed to.

And it is this difference that allows Anjana Data to be a distinctive data governance solution, capable of implementing governance incrementally and iteratively to enhance synergies between areas within the organisation and maximise the productivity of people who work with data, with a focus on technical process automation, cost savings and information self-service.

So... How do you know? When Anjana Data can assist you with your strategy Changing the government's view of data in your organisation? 

Below are a few examples of cases to look out for:

• The Data Office has failed in its attempt to implement the data governance model within the organisation.
• If data governance is understood as a bureaucracy between stakeholders of data, which requires the automation of governance processes.
• The organisation is seeking a distinctive solution based on interoperability, scalability and non-dependence on suppliers.
• The organisation is concerned about the initial investment, the short-term return on investment, the time to value and the time to market.
• Concepts such as Big Data, Artificial Intelligence, advanced analytics and technologies cloud-native They are seen as «black boxes» by data office teams, business users, and legal and compliance departments.
• The organisation is already working on or is prepared to evolve towards a complex hybrid and multi-cloud architecture.
• There are walls between departments, areas, and data domains.
• The organisation is attempting to implement DataOps real on innovative data platforms with democratic data self-service.
• The Data Office wants to move from “passive governance» to “proactive and preventive governance” of data.
• The Data Office is seeking to centralise access to data and manage its use for different data environments.
• There are many data silos and diverse technologies used within the organisation.
• The aim is to build a Marketplace technology-agnostic data using smart data contracts
• There are barriers between business users and IT teams.

Finally, in addition to all these aspects, it is very important to determine whether or not there is a data culture within the organisation and whether it is necessary to establish collaboration around data. The correct implementation of a data governance framework using Anjana Data will enable the organisation to achieve multiple benefits.

Anjana Data announces a new version of its Data Governance solution with new functionalities, available from 15 July.

The new version of Anjana Data incorporates extended features for the Business Glossary such as the ability to create new entity types with their own attributes based on dynamic forms. Many of the enhancements are aimed at UX & UI, audit functions as well as back-end and architecture improvements; the incorporation of Artificial Intelligence for user assistance, new workflow configuration capabilities. The new version also features new native integrations.

“In this new version of Anjana Data we have focused on building on what the solution already offered, especially improving the user interface design and providing a better user experience. In parallel, we have invested a lot of time and effort in extending the native integration capabilities to offer proactive and preventative governance over data platforms such as Azure, AWS, Denodo, Snowflake, as well as Cloudera and Hadoop. Finally, we can already say that we have the first user assistance use cases based on Artificial Intelligence & Machine Learning algorithms. In any case, version 4.0, which will be released at the end of September this year, is going to be a new turning point, we are at an incredible pace for a company of our characteristics”.” says Mario de Francisco, CEO of Anjana Data.

Extended features for the Business Glossary

Anjana Data aims to become one of the benchmark solutions in the world of Data Governance with a approach innovative and disruptive, bridging the worlds of business and technology and offering adaptability and flexibility capabilities hitherto not offered by any other solution, which are more than necessary in the new era of Big Data & Multi-Cloud.

That is why in this new version, Anjana Data incorporates improvements in the management of permissions and privileges in the Enterprise Glossary, based on the defined governance model. In addition, it offers the possibility of creating new types of entities with their own attributes based on dynamic forms. In this way, the organisation can create as many entity types as it wishes (i.e. metrics, reports, business rules, data quality rules, KPIs, ...).

Regarding the relationship between objects, Anjana Data includes extended attributes and can also create different types of relationships to classify them from a semantic point of view. Each object can be related to any other object not only within the Business Glossary but also to any object within the Data Catalogue. When creating the objects and defining the associated template, attributes can be set as mandatory or optional. 

UX & UI improvements

Other enhancements in the new version relate to navigation between objects throughout the user interface. In Anjana Data, an object is any element within the metamodel that contains metadata attributes.

To optimise the user experience in the Business Glossary, Anjana Data incorporates a new wizard for the creation of objects. This is especially useful as the wizard will guide the user to facilitate the creation of new objects regardless of type (any type of entity and any type of relationship) and the user will be able to choose between manual creation or import from an Excel spreadsheet based on the names of the headers without requiring a fixed structure.

Anjana Data has also introduced an improved view of each object showing in its main view the most important and recent information related to it and a new section within the object view showing all users of the object. 

AI features for user assistance

Anjana Data is advancing its AI-powered features and a new module has been integrated into the solution architecture for user support based on metadata information, data profiling techniques and user behaviour.

In this new version, the corresponding algorithms run in the background and will show recommendations to users in a non-invasive way. Algorithms for specific use cases will be released within future updates, with the first ones included in this release:

• Recommendation of business terms that may be of some interest to the user.
• Recommendation for the generation of new relations between objects within the Business Glossary.

Enhanced auditing functions and new workflow configuration capabilities

While Anjana Data has put the main focus on user experience improvements, another important part of this new version is the auditing functions. Thanks to the Minerva (based on SolR) it is now possible to see more detailed information in the internal audit logs, as well as having the possibility to select which actions should be audited and which should not. 

Thus, each time a value of any attribute changes, a snapshot of the object will be saved to allow the regeneration of an object with the corresponding values at a specific point in its history.

The new version also introduces new configuration capabilities in the validation flows through the module Hermes (based on Activiti BPM), allowing the possibility to define the triggering of parallel validation steps within a workflow configuration and the dynamic generation of validation steps depending on the type of object, the action performed and the user who has performed this action.

New native integrations

In terms of native integrations, thanks to the new plugins added to the modules Tot y Heimdal, In addition, different types of integrations have been developed between Anjana Data and the technologies used within various data platforms.

Metadata collection and import, sample data query, active governance and dynamic data lineage capture (if applicable) are now possible on the following technologies: 

• RDBMS supporting Generic JDBC 
• SAML 2.0 & OAuth based identity access management systems
• Cloud-native technologies from Microsoft Azure and AWS
• Denodo (Beta version)
• QlikSense (Beta version)
• Snowflake (Beta version)
• Confluent & Apache Kafka (Beta version)

From 15/07, Anjana Data v3.2 will be made available to users interested in discovering how Anjana Data can add value to the data strategy, changing the vision of Data Governance in an organisation. The company is also already working on a new version v4.0 (planned for the end of September 2020) which will again be a turning point in the evolution of the solution.

Anjana Data presents a new version, 3.0, which includes a new generation Business Glossary, flexible and customisable, fully integrated with the Data Catalogue and an evolved CORE metamodel. In addition, it incorporates new workflow management mechanisms, dashboard generation and reporting tools, assistance pills based on AI & ML and technical improvements throughout its microservices architecture.

Anjana Data is a unique and differential Data Governance solution, based on leading and consolidated open-source technologies, designed to help organisations in the implementation of their data strategy in the Big Data, Multi-Cloud and Data-Driven era.. 

Its 3.0 version, which will be available from the second week of April, brings with it an update of improvements and additional features such as the integration of a New Generation Business Glossary fully flexible and customisable integrated into the Anjana Data Catalogue to help build a common language and a single semantic layer across the organisation.

The solution also integrates a new BPM for the execution of validation flows based on Activiti, This will enable improved management, performance and capabilities in the automation of data governance procedures and processes.

This version 3.0 of Anjana Data also includes the integration of open source self-service tools for the generation of dashboards and reports that allow the control and monitoring of the implementation of data governance, with the integration of the following solutions Grafana y Hue.

With this launch, Anjana Data intends to continue the unstoppable growth of the first quarter of the year, “We are very pleased both with the way our vision is being received in the market and with the performance of the team that is making it possible for that vision to materialise in version after version of the solution. The feedback we are receiving from our customers is very positive and encourages us to continue in this direction, said Mario de Francisco, CEO of Anjana Data.

Ana Melcón, Development and Product Manager, also comments: “At Anjana Data we are a multidisciplinary team where we work hand in hand, constantly setting ourselves challenges and objectives that allow us to advance and add new functionalities that expand the power of the solution, and thus maintain the level of innovation that the market needs”.

New Generation Business Glossary

The Business Glossary Anjana Data is based on three main objects: containers, terms and relationships, each with flexible and customisable attributes based on the generation of dynamic forms. The flexibility of this design gives organisations the ability to model their semantic reality, easily managing ontologies, taxonomies and exceptions, providing a pure business vision.

This Business Glossary will be fully synchronised automatically and assisted with the metamodel. CORE to offer users the possibility of making a complete journey both top-down as bottom-up on the data. With this new feature, it will be possible to easily move from the business view to the technical view and vice versa from anywhere in the application, bringing the two worlds together.

Other new features of the Anjana Data Business Glossary are:

• An advanced search engine and dictionary of terms to easily find what you are looking for.
• A flexible role-based governance model for the management and maintenance of terms and relationships along with customisable validation workflows.
• Predefined controls to ensure uniqueness, consistency and completeness of glossary terms.
• Crowdsourcing of data assets to create knowledge of value based on governed data.
• Integration with the alerts and notifications module to improve collaboration and interaction of the stakeholders in the framework of an advanced user interface.
• Incorporation of user assistance capabilities and support in manual tasks based on advanced analytics algorithms, Artificial Intelligence and Machine Learning for a better user experience.

New built-in BPM for validation flow management 

Process management becomes faster and more intuitive with Anjana Data and the integration of Activiti, an open source workflow engine written in Java that can execute the business processes described in BPMN 2.0. This integration improves management, performance and workflow validation capabilities.

This version also includes basic features covering the same capabilities included in Anjana Data v2.0 but extended to the new Business Glossary module. The addition of Activiti in Anjana Data's technology stack, gives the solution the ability to easily offer extended features on near-future workflow validation, along with a new experience for design, customisation and workflow management.

Additional new features in Anjana Data version 3.0 include:

Dashboards and reports

An important added value in this version 3.0 of Anjana Data is the integration of the tools self-service dashboarding and reporting, Grafana y Hue, The Anjana Data system, which facilitates the control and monitoring of the implementation of the Data Governance model in the organisation, from Anjana Data.

Grafana allows you to consult, visualise, alert and graphically display the platform's activity in a simple and attractive way and even in real time, being particularly suitable for representing information in timelines. On the other hand, Hue, Anjana Data, offers the best experience to query the metadata hosted in Anjana Data quickly and easily with the most intelligent auto-completions, shared queries, results graphs, dashboards and downloads. All of this without the need for programming, as the analysis is performed dynamically using functions such as clicks & drag & drops.

The tools included in this new reporting and dashboard module give users of the solution the ability to easily create and share their own dashboards and reports from data stored in Anjana Data's internal repositories.

Data catalogue and data lineage

In addition to the above enhancements, the new version of Anjana Data extends its CORE metamodel with additional metadata to provide greater context and insight into the data while facilitating data governance. As a major enhancement, taxonomies and custom metadata can now also be added at the field level.

Regarding the data lineage functionalities, it includes the possibility of adding detailed functions at field level when declaring or importing processes and instances in the metamodel. Thus, the option to perform drill-down from the object level to the field level to have a granular view of the data movement. In addition, in the extended lineage visualisation, the information of the users attached to the DSAs (Name, Role, Business Unit, ...) is also extended.

Technical improvements in the back-end

Finally, a number of technical improvements have also been addressed to further ensure the scalability, interoperability and ease of use of the solution:

• Public API 3.0 with extended functionality and enhanced capabilities and Administrative API 1.5, fully independent of the public API for performing administrative tasks.
• New Oauth-based authentication allowing seamless integration with a multitude of identity management systems.
• Code refactoring to improve software performance and quality:
  • Management of roles and permissions.
  • Dynamic indexing of objects for the Data Portal.
  • Management of workflow execution processes.

To request a demo of the Anjana Data solution click here here.

Additional resources: 

• For more information on Anjana Data, download our complete brochure.
• Check out what's new at LinkedIn y Twitter.

About Anjana Data: 

Anjana Data was founded in Madrid in 2019, as a product-oriented company founded to develop, evolve and commercialise its own innovative and disruptive Data Governance solution. Anjana Data is not just a Data Governance tool, it is the implementation of a philosophy resulting from extensive experience in data related projects.