Anjana Data Platform

It is not just a Data Governance & Analytics tool, it is the implementation of a philosophy resulting from extensive experience in projects related to Data and AI.

Data governance & AI with Anjana Data Platform

From what to how, and from paper to operational reality

The same scenario repeats itself in every organisation: data everywhere, decisions that cannot wait, and AI models that demand trust in complex technological scenarios, with increasing security requirements and increasingly stringent regulatory environments. And all this with the added pressure of generating value and competitive advantage, reducing costs and ensuring efficiency. There is no lack of technology; what is lacking is operational governance.

Anjana Data Platform helps organisations turn data and AI governance into a truly operational system that serves as a lever for implementing a clear, scalable and measurable data and AI strategy.

Our value proposition

Anjana Data Platform covers the following areas:

Data governance

Clear order and responsibilities: what data is available, who uses it, and under what rules.

AI government

Ensure your AI is reliable: inventoried, with controlled risks and evidence that it delivers what it promises.

Protection and privacy

Secure personal data under control: notifications, permissions, and everything ready for audits.
Data space

Share data with third parties with confidence: clear agreements, common rules and traceability.

Knowledge Marketplace

Put knowledge at your fingertips: dashboards, KPIs, reports, or ready-to-use models.

Key features of Anjana Data Platform

The most innovative Data & AI Governance Platform

Anjana establishes a common, transversal and agnostic governance layer on any architecture and stack with a modern approach, competing in capabilities with Collibra, Informatica, Alation and Atlan, among others.

Agnostic solution with bi-directional integrations

Integrates with leading cloud and data platforms to extract/inject metadata, manage permissions, lineage and sampling, avoiding vendor lock-in and enabling governance of hybrid and multi-cloud ecosystems.

Proactive and preventive governance vs. technical cataloguing

In contrast to technical catalogues focused on discovery and lineage, Anjana prioritises business vision, operationalisation of the governance model and integration with demand management to automate common technical processes.

Data Fabric and Data Mesh over Active Metadata

Anjana enables modern, integrated and scalable Data & AI architectures, complementing native Cloud services (AWS, Azure, GCP, Oracle) and other platforms such as Denodo, Snowflake, Databricks, Cloudera...

Features and capabilities

A new approach to the implementation and operationalisation of Data Governance & AI thanks to a distinctive solution based on value-added features that promote collaboration and data democratisation.

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Discover the platform

Key features

Methodology, accelerators, and change management for time-to-market y time-to-value adapted to complex environments.

Designed for non-technical profiles; multiple role-playing experiences y Training Portal for customers and partners.

Expansion of the model to the entire ecosystem with horizontal scaling (Big Data technology) and no-code/low-code modular architecture.

Aligned with major standards (including. ENS), role-based and domain-based access controls.

Complete RESTful API with Swagger (public, administrative and configuration) and compatibility with any system/tool.

Application of policies and execution of technical processes to convert data into strategic asset.

Branding, colours, styles, languages; customisation of governance model, metamodel, templates, workflows, notifications, and translations.

Open access to internal information for measurement purposes adoption y penetration of data governance.

Guided evolution by renowned specialists in Data Management in Product and Customer Success.

Ready for Data & ML Ops, Data Fabric, Data Mesh, Data Spaces, AI Governance, Adaptive D&AI Governance.

Remote support model with high NPS and medium- and long-term relationships based on trust.

With leading cloud providers and data vendors: integrations plug-and-play that prevent vendor lock-in.

Differentials of Anjana Data Platform compared to technical catalogues and all-in-one suites“

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Positioning and architectural integration

• Unified Data Governance and AI: Platform-agnostic solution that integrates with clouds and data platforms to manage metadata, permissions, and data sampling.

• No technological lock-in: It allows the stack to evolve without reworking governance, thanks to its decoupled and flexible architecture.

• Beyond the catalogue: It competes in the Data & Analytics Governance Platforms segment, with a common governance layer over heterogeneous technologies.

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Governing ≠ cataloguing

• Catalogues technicians attached to the stack: Tools such as Purview, Glue, and Dataplex prioritise discovery, lineage, and metadata, but with a technical focus and without governance capabilities.

• Complete government with Anjana: Anjana adds domains, roles, policies, SLAs, data contracts, workflows and lifecycle, along with catalogue, glossary and marketplace.

•Combined and scalable architecture: Integrate native catalogues with an active governance layer, using bidirectional relationships and master/slave control by usage.

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Differential capabilities that operationalise governance

• Integrated governance: Native BPM with policy integration, demand management, alerts, and control based on roles and organisational hierarchies.

• Active metadata and DataOps: Management of functional and technical metadata with automation to act on assets and apply governance from the outset.

• Controlled change and integrations: Impact analysis, versioning, and expirations, with bidirectional integrations for secure and governed self-service.

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Operational and economic model aligned with scalability

• No-code and API-first architecture: Scalable design, no black boxes, 100% interoperable and with plug&play integrations thanks to technological alliances.

• Flexible deployment model: Managed IaaS, PaaS or SaaS options, tailored to different environments and operational needs.

• Licensing for actual use: Payment for governed assets, with integrations and plugins included from the outset.

Roadmap for implementing and operating Anjana Data

Discover the complete implementation process

Initial diagnosis of architecture and infrastructure

Initial diagnosis of architecture and infrastructure

1

Preparation and provisioning of environments

Preparation and provisioning of environments

2

Launch of Anjana Data's core services

Launch of Anjana Data's core services

3

Selection of use case and definition of KPIs

Selection of use case and definition of KPIs

4

Technical integration: connections, identities, and permissions

Technical integration: connections, identities, and permissions

5

6

Functional parameterisation of the platform

Functional parameterisation of the platform

7

Training and workshops

Training and workshops

8

Case productisation and conclusions for scaling up

Case productisation and conclusions for scaling up

9

Licence registration and support authorisation

Licence registration and support authorisation

Initial diagnosis of architecture and infrastructure

1

Preparation and provisioning of environments

2

Launch of Anjana Data's core services

3

Selection of use case and definition of KPIs

4

Technical integration: connections, identities, and permissions

5

Functional parameterisation of the platform

6

Training and workshops

7

Case productisation and conclusions for scaling up

8

Licence registration and support authorisation

9

Integration with third-party technologies

1. Open architecture and API-first; bidirectional integration with OOTB plugins for SSO/IAM and local management.

2. Discovery and ingestion of metadata from dictionaries and catalogues (including cloud-native ones).

3. Comprehensive Quality, Safety and Audit Management: definition of rules and import of control results and logs.

4. Injection of tags/metadata into external technologies to activate security, privacy, and quality policies.

5. Secure, obfuscated on-demand sampling to preview format and content.

6. Permission management on underlying technologies to enable a truly automated marketplace.

7. Orchestration of actions in third-party tools for preventive and proactive governance.

How Anjana Data fits in in your architecture

A unified, comprehensive and cross-cutting layer of governance that does not replace your current Data & AI technology ecosystem.

Integrate, complement, and enrich your platforms' native technical catalogues thanks to native bidirectional integrations.

Operationalise your DataOps, Data Mesh, and Data Fabric initiatives with a common layer of governance and marketplace.

Learn about Anjana Data's architecture and integrations

Benefits by profile

Producers and Suppliers

  • Control of information production processes (quality and availability)
  • Preparation and certification of data for sharing and consumption by third parties
  • Knowledge of who is using what information and for what purposes
  • Comprehensive audit to support regulatory and compliance requirements

Strategy and Oversight

  • Maximise the ROI of information usage and exploitation initiatives with the possibility of monetising information
  • Increased productivity and efficiency and reduced costs and risks
  • Consistent view of information consumption within the organisation
  • Compliance with rules and regulations and implementation of common internal policies

Users and Consumers

  • Understand the available information along with its context and meaning
  • Improved decision-making process thanks to better managed, higher quality data
  • Agility in data consumption and exploitation processes (self-service)
  • Control of information production processes (quality and availability)

The platform's pricing is unlike all the others

  • Real transparency, without artifice No complicated licences per user, connector or module, nor unverifiable consumption “calculators”.
  • Native add-ons and integrations included Plugins and integrations developed alongside customers and partners, available under any licence type, with no additional charges.
  • Long-term relationship, in your language Product and Customer Success work together to tailor the platform to your strategy (and not the other way around), with close support in Spanish.
Find out more here

Use cases enabled

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Knowledge management

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Foster a data culture aimed at eliminating silos and managing information knowledge in a cross-cutting and transparent manner to promote the reuse of data assets.

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Creating a single repository for accessing knowledge about the organisation's data assets through a Data Portal with a Business Glossary and a Data Catalogue containing all the necessary information for any interested party, in understandable language tailored to their profile.

 

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Decision-making

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Improve agility and effectiveness in data- and AI-driven decision-making by enhancing data quality and reducing the inherent risks associated with data usage.

 

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Implementing and integrating an adaptive operational framework for Data Governance and AI that enables the organisation to bring data closer to business roles by facilitating the application of custody policies and procedures for data quality, security, privacy, and ethics.

 

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Governed self-service

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Promote the democratisation and self-service of data assets across business areas for different use cases, facilitating information sharing in a federated ecosystem.

 

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Building an information marketplace that enables different stakeholders to understand the context of the data and share information effectively and efficiently without the need for technical expertise, in an environment regulated by Data Sharing Agreements and Data Contracts.

 

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Data monetisation

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Create data/information/AI products that can be monetised and generate new revenue streams by creating new business-oriented products and/or services.

 

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Adopting a domain-based Data Mesh architecture with advanced capabilities to group, manage, and publish different data/information/AI assets in various formats and supported by different technologies, making them available for multiple and diverse use cases.

 

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Cost reduction

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Leverage cutting-edge hybrid data and AI platforms and architectures to reduce risks, operational costs, and IT costs associated with data and AI management.

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Implementing an adaptive design governance operating model integrated into existing demand management processes to avoid bureaucracy and bridge the gap between business and IT, by operationalising Data&AIOps models with technical process automation within the layers of governance, integration, data storage and consumption, and AI. This model, driven by active metadata, is the basis for Data Fabric and Data Spaces architectures.

 

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Regulatory compliance

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Comply with existing regulations related to data and AI in a straightforward manner, facilitating custody processes and the submission of evidence to Central Government Bodies.

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Creating a taxonomy-driven metadata lake as a single source of truth to meet regulatory and/or compliance requirements by standardising metadata management, centralising observability, integrating audits, ensuring traceability, and controlling risks.

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Productivity and efficiency

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Increase the productivity of data stakeholders by reducing the time spent on manual tasks related to data and AI management and governance.

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Creating a federated collaborative environment that facilitates interaction between users while empowering them, and incorporating advanced process automation and recommendation functionalities.

Why choose Anjana Data Platform?

  • Agnostic about technology and ready for multi-cloud/hybrid
  • No vendor lock-in, true interoperability and no-code/low-code model
  • Active government with extended lineage, data contracts, and marketplace.
  • Enterprise security and compliance (including ENS)
  • Designed by experts, with agile support and strategic partnerships.

Ready to take Data Governance & AI to the next level?

Don't wait any longer and discover how to make your organisation Data & AI Driven with Anjana Data Platform.

Request a demo