How we deliver / Agile & Scrum

Enterprise architecture.
Delivered in useful increments.

We use Agile principles and Scrum to turn business priorities into working data products. Each increment connects the layers needed for a useful outcome, with shared models, automation, and governance built into the work.

Plan your delivery Explore the architecture

Start with the business

A clear outcome shapes the work.

We agree on the business questions, success measures, and architecture direction. Your Product Owner orders the backlog; the team clarifies data needs, dependencies, and the smallest useful scope as it learns.

Illustrative product / a shared view of sales performance
Product Goal

Make sales performance understandable.

Consistent measures that finance and sales can use together.

Product Backlog

  1. NextRevenue by customer and month
  2. ThenReturns alongside sales
  3. ExploreQuestions over the shared model
Example Sprint Goal

A governed revenue view for finance.

Agree the measure, source scope, and evidence of a usable result.

Refine continuously as priorities, evidence, and dependencies change.

The architecture in action

Deliver a business capability across the layers.

Scope a useful path from source data to a business result. Reuse existing components and extend only what the increment needs, keeping Data Vault integration, dimensional models, and shared semantics connected.

Example / revenue by customer and month
  1. Bronze

    Capture the sources

    Load scoped orders and customer data with source context.

    Source capture
  2. Silver

    Connect the history

    Integrate business keys, order relationships, and source history.

    Data Vault integration
  3. Gold

    Model the business

    Shape sales facts with shared customer and date dimensions.

    Dimensional models
  4. Semantic

    Publish shared meaning

    Define revenue, time periods, relationships, and access rules.

    Shared semantic models
Usable outcome

A revenue view grounded in agreed measures.

Validate the result with finance using a working report over the shared model.

More reportsReuse the business logic.
Self-service BIExplore in Power BI & Excel.
Conversational BIAdd evaluated data agents.

Architecture evolves with the product. Shared keys, dimensions, definitions, and delivery standards keep new increments aligned.

A rhythm for learning and delivery

Plan together. Build. Inspect. Adapt.

Short, fixed-length Sprints focus the team on a Sprint Goal. We combine business collaboration with modeling, engineering, and testing throughout the work.

Inside the Sprint / a repeating cycle
  1. Sprint Planning

    Set the goal.

    Choose the work and plan how to deliver it.

  2. Build & validate

    Create the increment.

    Design, automate, and test together.

    Daily ScrumDevelopers inspect progress and adapt their plan.
  3. Sprint Review

    Inspect the outcome.

    Work with stakeholders to shape what comes next.

  4. Retrospective

    Improve the way we work.

    Agree changes that help the team deliver better.

Apply the learning to the next Sprint
A usable increment meets the Definition of Done.Release it when ready, including during the Sprint.
Our quality criteria

Quality is part of delivery

Make “done” something you can trust.

We agree a Definition of Done that makes quality visible. Data checks, access controls, deployment, and operating knowledge belong in the work from the start.

Example quality criteria for a data increment

  • Data reconciles

    Completeness and totals checked against sources.

  • Measures agree

    Calculations tested against business examples.

  • Access is verified

    Permissions tested for intended users.

  • Lineage is clear

    Sources, transformations, and definitions documented.

  • Deployment is repeatable

    Versioned changes validated across environments.

  • Operations are prepared

    Monitoring, runbooks, and ownership in place.

When the increment includes conversational BI

Evaluate representative questions, measures, and permitted access before release.

AI context

From working increment to everyday use

Automate the path. Learn from use.

Versioned models, repeatable pipelines, and tested releases make delivery dependable. WhereScape, platform automation, and CI/CD carry the agreed standards into implementation.

Engineering and business feedback stay connected
  1. Develop

    Build & version

    Models, pipelines, measures, and tests.

  2. Validate

    Check the change

    Reconcile data, test access, and verify connections.

  3. Release

    Promote with control

    Deploy models and reports through their own tracks.

  4. Use & learn

    Observe the result

    Review adoption, data health, and business feedback.

Feed what we learn back into the Product Backlog.Revisit priorities
Model & report release architecture WhereScape automation

Working with your team

One team. Shared ownership.

Our consultants work alongside your team, combining business context, architecture, engineering, and operations.

Clear accountabilities. Continuous collaboration.
Business stakeholders

Context & feedback

Bring real questions, clarify definitions, and try the results.

Scrum team

Shared Product GoalMake sales performance understandable.

Product Owner

Maximize value.
Order the backlog.

Scrum Master

Improve effectiveness.
Help remove obstacles.

Developers

Design, build, and validate.
Uphold quality.

Knowledge shared throughout delivery

Your team grows with the platform.

Every increment

Document the decisions.

Keep model choices, business definitions, and lineage close to the work.

Build side by side.

Pair on real changes and share the reasoning behind reusable patterns.

Make operations familiar.

Walk through monitoring, recovery, and releases as capabilities take shape.

A practical next step

What should your next
increment make possible?

Bring your priorities and current platform. We will help shape a useful starting point and a delivery plan.

Plan the next increment