For partners and consultants

Grow your consulting capacity. Keep client projects adaptable.

Create proofs of concept in a few hours, develop model-based blueprints and generate code and implementation artefacts from a governed design. AnalyticsCreator helps your consultancy handle changing requirements while giving specialists more time for customer communication and solution quality.

Discuss your consulting practice

Your expertise. Your client relationship. Your agreed operating model.

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Model-Based Blueprints

Reuse relevant design knowledge. Keep each solution specific.

Partners can create and adapt model-based blueprints in AnalyticsCreator's technology-independent metamodel. Complete blueprints or selected parts can be reused where they fit the customer's requirements.

AnalyticsCreator's intelligent wizards work from source metadata and development choices to create project-specific models and processing logic. The corresponding code evolves with the model and remains visible during development. A predefined template is not required.

Target settings determine the supported native assets and deployment packages prepared from the project. Design knowledge remains available across iterations, consultants and supported target technologies.

Customer Understanding

Give senior expertise more time with the customer.

Reducing manual implementation and documentation work creates more capacity for understanding requirements, discussing alternatives and improving solution quality.

The connected model gives customer discussions a concrete reference. Business requirements and the resulting implementation remain connected as understanding develops.

Earlier Validation

Build POCs in a few hours.

Source metadata and intelligent wizards accelerate the development of a working proof of concept, providing something concrete to assess while requirements take shape.

The prototype's models and code remain part of the project as the solution expands. Integrated validation and regression testing support subsequent changes, helping reduce the risk of carrying misunderstandings into the wider implementation.

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Peter Smoly, CEO of Analytics Creator explains how to build a modern data warehouse new and changing requirements from business and IT result in a dificiency of your data architecture.

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Customer and Consultancy Benefits

Eight highest-ranked benefits from our customers and consultancies.

For your customers

Lower project risk

Adapt the model as requirements become clearer, with connected dependencies helping teams understand the effects of change.

POCs in a few hours

Assess a working approach early and use feedback to guide the next design decisions.

Lower implementation costs

Reduce manual effort through generated code and documentation, automated execution of configured tests and model-based changes.

A governed foundation for AI

Make available project definitions, relationships and transformation context accessible to authorised AI agents through Design Intelligence.

For your consultancy

Capacity for more customers

Help different consultants work from connected project knowledge and model-based blueprints across engagements.

Lower estimation risk

Reduce dependence on manual implementation work and use early prototypes to expose requirements that affect project scope.

Better implementation quality

Generate from a governed model and give senior specialists more time for customer requirements, communication and validation.

AI-supported service opportunities

Extend your offering with project-context access for AI-assisted analysis, explanation and technical work.

Your Engagement Model

Agree the responsibilities. Keep the options open.

AnalyticsCreator supports the arrangement you and your customer choose, from development and deployment to operation and ongoing change.

Partner-managed

Your consultancy manages development and can also operate and maintain the solution. The customer does not need an AnalyticsCreator licence solely to run the generated assets.

Client-managed

Where agreed, the customer takes on continued model-driven development with the project and an appropriate AnalyticsCreator licence. Your consultancy can provide transition support or specialist assistance.

Shared responsibilities

Design, development, operation and support can be shared according to the engagement. Responsibilities can evolve as the customer's capabilities and needs change.

Generated assets run without an AnalyticsCreator production runtime. The partner and customer agree who operates the solution and how ongoing services are provided.

Project Continuity

Keep project knowledge useful throughout the engagement.

Connected models, implementation code, lineage, documentation and project versions retain the knowledge behind the solution. This supports ongoing services, changes between consultants and any transition agreed with the customer.

Project access, documentation sharing and handover follow the engagement agreement. Continued partner management, customer ownership of development and shared arrangements are all supported.

Common questions about consultancy projects and operating models

Can our consultancy manage the entire solution for the customer?

Yes. Your consultancy can manage model-driven development and provide deployment, operation, maintenance and support services. AnalyticsCreator does not prescribe how those responsibilities are divided between you and the customer.

Does every customer need an AnalyticsCreator licence?

No. Generated assets run without an AnalyticsCreator production runtime. A customer does not need a licence solely to operate those assets. If the customer takes on continued model-driven development in AnalyticsCreator, an appropriate licence is required.

Can we reuse model-based blueprints across projects?

Yes. Partners can create and adapt model-based blueprints in AnalyticsCreator’s technology-independent metamodel. Complete blueprints or selected parts can be reused where appropriate. The intelligent wizards work from source metadata and development choices, so a predefined template is not required.

How does AnalyticsCreator help when requirements change?

The connected models and implementation code evolve together as requirements change. Relevant native assets can then be prepared from the updated project. Project lineage provides dependency context, while regression testing helps identify unintended effects.

Can we create a proof of concept in a few hours?

Yes. Source metadata, intelligent wizards and code generation can be used to create a working proof of concept in a few hours. The POC gives the customer a concrete basis for reviewing the approach and clarifying requirements.

Can we offer AI-supported services using the project context?

Yes. Design Intelligence makes available saved-project context accessible to authorised AI agents through MCP. Partners can use it to support explanation, dependency analysis and technical proposals. Agents can also use separately authorised live-data connections where the service requires them.