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Model-driven control plane for Microsoft data and AI teams

Control your data model. Generate the technology. Ground your AI.

AnalyticsCreator is a model-driven design and automation application for the Microsoft data stack. Develop business, logical, physical and semantic models with intelligent wizards. The corresponding implementation code evolves with the model and remains visible during development. Prepare native assets and deployment packages for supported Microsoft environments.

Design Intelligence makes available saved-project context accessible to authorised AI agents through MCP.

See AnalyticsCreator in action Explore your use case
AI

Ground AI with project context

Connect authorised agents to available definitions, relationships and transformation context, with gaps in coverage made explicit.

CTRL

Retain knowledge through change

Keep business definitions, models, code and documentation connected as people, partners and supported technologies change.

GEN

Prepare native implementation assets

Generate structures, pipelines, semantic assets and deployment packages from the developed project for the selected environment.

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Develop, validate and deploy from one connected project.

AnalyticsCreator connects models, implementation code, lineage and documentation throughout development. Teams validate changes and prepare native assets for deployment while retaining project knowledge for future work.

Collect source metadata

Bring source structures into the project as the starting point for modelling and development.

Model and develop

Develop project-specific models with intelligent wizards. See the corresponding code evolve as you work.

Test and validate

Execute validations, compare results with expected outcomes and review reported differences.

Generate native assets

Prepare implementation artefacts and deployment packages from the developed project and selected target settings.

Deploy and operate

Run in the selected environment under the agreed responsibilities, without an AnalyticsCreator production runtime.

Maintain and evolve

Develop changes using connected models, code and project history. Repeat validation as the solution evolves.

Control plane in practice

As generation gets easier, control becomes the advantage.

Keep business definitions, models and implementation connected. The project provides a foundation for development, change and AI-supported work.

AnalyticsCreator design context

Connected models and implementation.

Business, logical, physical and semantic models remain connected through their definitions, relationships and transformation logic. The corresponding implementation code evolves during modelling. Native assets are prepared from the developed project.

Develop Validate Generate Deploy
01

Model-driven development

Develop the design with intelligent wizards.

Wizards work from source metadata and development choices to create project-specific models and processing logic. Optional customer-created templates or selected model elements can be reused where they fit.

  • Kimball dimensional modelling
  • Data Vault 2.0
  • 3NF and Inmon-style modelling
  • Medallion architecture
  • Hybrid designs
Explore model-driven design
02

Native Microsoft implementation

Prepare assets for the selected environment.

Generate native implementation assets and deployment packages from the project. As supported technologies change, while retaining relevant design knowledge.

  • SQL Server and Azure artefacts
  • ADF and Fabric pipelines
  • Power BI and Tabular models
  • Documentation and deployment packages
Explore native asset generation Explore Microsoft Fabric and Power BI
03

AI-ready context

Make recorded project knowledge available to AI.

Design Intelligence gives authorised MCP-compatible agents access to supported saved-project context. Coverage limitations remain explicit, and explanations of design decisions depend on their reasoning being recorded.

  • Business definitions and grain
  • Model relationships
  • Confirmed lineage and dependencies
  • Transformation context
Explore Design Intelligence

Agents configured to consult Design Intelligence can combine project context with live business data accessed through separately authorised connections.

Control plane in practice

As generation gets easier, control becomes the advantage.

Keep business definitions, models and implementation connected. The project provides a foundation for development, change and AI-supported work.

AnalyticsCreator design context

Connected models and implementation.

Business, logical, physical and semantic models remain connected through their definitions, relationships and transformation logic. The corresponding implementation code evolves during modelling. Native assets are prepared from the developed project.

Develop Validate Generate Deploy
01

Model-driven development

Develop the design with intelligent wizards.

Wizards work from source metadata and development choices to create project-specific models and processing logic. Optional customer-created templates or selected model elements can be reused where they fit.

  • Kimball dimensional modelling
  • Data Vault 2.0
  • 3NF and Inmon-style modelling
  • Medallion architecture
  • Hybrid designs
Explore model-driven design
02

Native Microsoft implementation

Prepare assets for the selected environment.

Generate native implementation assets and deployment packages from the project. As supported technologies change, while retaining relevant design knowledge.

  • SQL Server and Azure artefacts
  • ADF and Fabric pipelines
  • Power BI and Tabular models
  • Documentation and deployment packages
Explore native asset generation Explore Microsoft Fabric and Power BI
03

AI-ready context

Make recorded project knowledge available to AI.

Design Intelligence gives authorised MCP-compatible agents access to supported saved-project context. Coverage limitations remain explicit, and explanations of design decisions depend on their reasoning being recorded.

  • Business definitions and grain
  • Model relationships
  • Confirmed lineage and dependencies
  • Transformation context
Explore Design Intelligence

Agents configured to consult Design Intelligence can combine project context with live business data accessed through separately authorised connections.

Choose your path

Different priorities. One connected model.

Explore AnalyticsCreator from the perspective that matters most to your role or team.

01 For IT and data leaders Reduce dependency and keep control. Preserve organisational knowledge, manage change and retain control of your data analytics architecture. Executive and IT leadership 02 For data architects Model centrally and evolve with control. Design, govern and evolve business, logical, physical and semantic models from one connected foundation. Architecture and modelling 03 For data engineers and developers Develop the model and its implementation together. Use intelligent wizards to develop project-specific models. See the corresponding code evolve during development. Model-driven engineering 04 For Fabric and Power BI teams Connect engineering and semantic design. Keep pipelines, warehouse structures and Power BI semantic models connected to shared definitions and transformation logic. Fabric and Power BI 05 For analysts Extend self-service through governed models. Build on shared business definitions, semantic models and data products within your organisation's roles and permissions. Governed self-service analytics 06 For teams developing AI solutions Ground AI in connected project context. Give authorised AI agents access to available definitions, relationships, lineage and transformation context through Design Intelligence. AI-assisted analysis and development

For partners and consultants

Bring connected design to your client projects.

Develop client-specific models and implementation, reuse selected project elements where appropriate, and support clients through the engagement and operating model you agree together.

Explore the partner perspective

Strategic control

Preserve your organisation’s data knowledge as a strategic asset.

AnalyticsCreator helps organisations turn data and analytics knowledge into a durable business asset.

Teams can deliver faster, reduce the cost and risk of change, retain strategic control and adopt AI without losing the context behind the data estate.

This is AnalyticsCreator’s Governed Control Model: business meaning, the data model, rules, dependencies, and technical implementation remain transparently connected and under the organisation’s control.

Faster time to value Get more from specialist teams by reducing repetitive development and shortening the path from business requirement to usable data.
Lower lifecycle cost Reduce rediscovery, rework, onboarding effort and the cost of maintaining and evolving the data estate.
Strategic sovereignty Keep ownership of the organisation’s data knowledge and delivered Microsoft solutions under your control.

Protect the knowledge behind your data estate.

A company’s core data asset is its knowledge of how data is acquired, transformed and turned into analytical models. This knowledge must remain independent of technologies, individual resources and external providers. It forms the company’s knowledge base and represents one of its most valuable strategic assets.

AnalyticsCreator acts as the overarching control plane that connects and preserves this knowledge through organisational, technological and external change.

01

Change without starting again

New teams and partners can build on what the organisation already knows instead of reconstructing the solution from code, documentation and individual memory.

02

Modernise without losing the foundation

Move from one Microsoft technology or architecture to another while retaining the business meaning and delivery knowledge behind the existing estate.

03

Adopt AI with organisational context

AI can scale organisational knowledge only when it works from decisions the organisation has already made. AnalyticsCreator Design Intelligence makes that knowledge reusable while people retain decision authority.

Move faster. Reduce lifetime cost. Protect the knowledge. Own the outcome.
Explore the executive overview Explore traceability and change control

Deployment and operating model

Develop in AnalyticsCreator. Operate in your Microsoft stack.

Keep models and implementation connected during development, then prepare native assets for deployment under the agreed release and operating responsibilities.

01
Develop

Develop models and implementation together

Intelligent wizards support project-specific modelling and development. Corresponding code evolves with the model and remains available for inspection.

Models Code Relationships Transformations Lineage Documentation
02
Prepare

Generate native assets and packages

Prepare supported implementation artefacts and deployment packages from the developed project and selected target settings.

StructuresSQL Server and Azure artefacts PipelinesADF and Fabric outputs ModelsPower BI and Tabular models PackagesDeployment assets and documentation
03
Operate

Choose the operating model

Run the solution in the selected environment. Operation can be managed by the customer, a service partner or a shared team, without an AnalyticsCreator production runtime.

SQL Server Azure Microsoft Fabric Power BI
Runtime independence Native assets run without an AnalyticsCreator production runtime. Continued model-driven development uses AnalyticsCreator.

Independent validation

Proven by customers. Recognised by BARC.

AnalyticsCreator is used in complex Microsoft data environments where delivery confidence, connectivity, support and long-term customer ownership matter.

Top-ranked KPIs BARC 2025 recognised AnalyticsCreator across Business Value, Customer Satisfaction, Connectivity, Implementer Support and Sales Experience.
9/10 Customer Satisfaction score in the 2025 BARC KPI data.
10/10 Connectivity score in the 2025 BARC KPI data.
Business value Customer satisfaction Connectivity Implementer support Sales experience Microsoft-focused delivery

Proven in complex data environments.

quote

AnalyticsCreator not only frequently achieves first place in the Data Management Survey, but also got a maximum score of 10/10 in six of the KPIs in 2024, which is a remarkable achievement. 89% of the users surveyed reported having no significant problems with the software, which is an unusually high proportion.

Dr-Carsten-Bange

Dr. Carsten Bange

CEO, BARC Research

quote

AnalyticsCreator significantly accelerated the development of our central data warehouse, bringing us a major step closer to achieving a unified data interface for powerful analytics.

Peter-Mazoll

Peter Mazoll

Head of BI

quote

I highly recommend AnalyticsCreator for companies seeking to streamline their data warehousing and business intelligence processes. It's a remarkably efficient product that empowers users to industrialize these critical services.

Antoine-Girard

Antoine Girard

Head of Business Intelligence

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quote

AnalyticsCreator empowered us to become data experts, confident in our ability to analyze and utilize our information

Michael Sonnleitner

Michael Sonnleitner

Data Warehouse Manager

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quote

AnalyticsCreator slashed our data warehouse development time by a staggering 80%. This incredible efficiency allows us to focus on more strategic initiatives.

Project Manager

BI Lead

quote

AnalyticsCreator has revolutionized data warehouse development and maintenance for our team. It's incredibly user-friendly, taking us to a whole new level of ease and efficiency.

Alexander-Schätzle

Alexander Schätzle

IT Director EMEA

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