AnalyticsCreator evaluation · Step 5 of 5
Prove value with one project
Select one representative opportunity and use it to prove how AnalyticsCreator improves the technical workflow, delivery process and commercial outcome.
Choose the right opportunity
Do not try to test everything at once
The strongest evaluation uses one genuine and representative project. It should be important enough to demonstrate value, but contained enough to produce a clear result within a defined period.
Use a realistic architecture and use case
Select a project that reflects the modelling, transformation, historisation, semantic and deployment requirements normally found in your customer work.
Connect it to a clear business outcome
Choose an opportunity where faster prototyping, greater capacity, improved project economics, recurring services or scalable delivery would create measurable value.
Define a manageable scope
Limit the first evaluation to a representative source, business area or analytical requirement rather than trying to reproduce the complete customer environment.
The objective is to prove that the model-first workflow can improve a real delivery situation and provide a reliable foundation for the next stage of the project.
Define success first
Agree what the project must prove
Define the technical and business evidence before the evaluation begins. This prevents the result from becoming a subjective product demonstration.
Technical evidence
- Source metadata can be connected and imported.
- The required business and analytical model can be represented.
- Production-ready artefacts can be generated for the selected Microsoft environment.
- Generated outputs can enter the existing source-control and deployment process.
- One representative design change can be assessed and applied across dependent artefacts.
Business evidence
- Time to a working model or demonstrable prototype.
- Specialist effort required to reach the result.
- Clarity for business and technical stakeholders.
- Delivery knowledge captured in the maintained model.
- Commercial opportunity created by the improved process.
A focused evaluation is easier to assess than a long list of loosely defined objectives. Choose the measures that reflect the outcome your organisation actually wants to improve.
Recommended evaluation structure
Run a focused, contained evaluation
A contained evaluation can follow four clear stages, with agreed responsibilities, success measures and decision points.
Scope and prepare
Confirm the use case, source access, target environment, participants, expected artefacts and success measures.
Connect and model
Import the selected source metadata and build the representative business, analytical and technical model.
Generate and test
Generate the agreed production-ready artefacts and apply one representative change to test dependencies and controlled regeneration.
Review and decide
Compare the result with the agreed measures and define the technical, organisational and commercial next step.
A static prototype proves that an output can be created. A representative change proves that the maintained model can control dependencies, regeneration and future development across the solution lifecycle.
Project team
Involve the people required to make a decision
The evaluation should connect the business objective, architecture and practical engineering work. It should not be isolated within one technical role.
Business or delivery owner
Confirms the expected outcome, commercial relevance and decision criteria.
Architect, BI lead or consultant
Defines the target architecture, modelling approach and delivery requirements.
Developer or technical specialist
Reviews the generated artefacts, integration points, deployment process and technical quality.
Evidence-based decision
Decide what should happen after the evaluation
The result should lead to a practical decision rather than another general product discussion.
Use AnalyticsCreator on the selected project
Continue from the evaluated model into the implementation rather than rebuilding the work created during the proof.
Adjust the scope or operating model
Resolve identified source, architecture, process or team questions before extending the approach.
Apply the proven approach more broadly
Turn the result into a repeatable delivery method, customer service, product capability or partner-owned offering.
The model, rules and artefacts created during the evaluation can become the starting point for implementation and future development rather than disposable proof-of-concept work.
