Data Governance & MDM · 10 modules

Data Strategy

1,270 words6 min read

A practical program that takes you from business vision to delivered data products. Ten modules walk the full arc of a data strategy - alignment, value, governance, operating model, architecture, data products, quality, metadata, KPIs, and roadmap - so leaders and practitioners can build and run a real strategy, not just a slide deck.

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10
Modules
End-to-end
Vision to value
Open-source
Live cohort lab
Zero
Licensing cost
The end-to-end journey

From business vision to realized value

A data strategy is a connected flow, not a stack of documents. This is how the 10 modules build on each other - watch the data move from vision through governance, architecture, and products, all the way to measurable value.

1VisionBusiness goals &data vision2GovernanceOwnership,policy, funding3ArchitectureLakehouse,mesh, warehouse4Data productsContracts,catalogs, SLAs5ValueKPIs &realized valueGovernance wraps every stageData quality & trust throughout

Each stage feeds the next; governance and quality wrap the whole flow. The cohort lab below makes this run live on open-source tools.

Curriculum

The 10 modules

Expand any module for its focus and the outcome you walk away with.

01 Vision & Value Alignment

Connect business objectives to a clear data vision. Define the value thesis, business cases, and the measurable outcomes a data strategy must deliver.

Outcome: Articulate a data vision and value thesis your executives will fund.

02 Data Strategy Foundations

The anatomy of a modern data strategy - principles, scope, and how the pieces (governance, architecture, products, people) fit into one coherent plan.

Outcome: Frame a complete, coherent data strategy on a single page.

03 Governance & Operating Model

Design governance structures, ownership, stewardship, and the funding and decision-making model that makes the strategy stick.

Outcome: Design a governance and operating model with clear ownership and funding.

04 Organization, Roles & Culture

Plan organization design, roles (CDO, stewards, product owners), and the culture and change management that turn strategy into behaviour.

Outcome: Define the roles and cultural shifts needed to execute at scale.

05 Modern Data Architecture

Choose and combine architecture patterns - lakehouse, data mesh, and warehouse - and map them to business capabilities and constraints.

Outcome: Select an architecture blueprint aligned to your capabilities and goals.

06 Data Products & Contracts

Apply product thinking to data. Define data products, data contracts, SLAs, and ownership so data is built and consumed like a product.

Outcome: Design data products and contracts aligned to business capabilities.

07 Metadata, Catalog & Lineage

Make data discoverable and trustworthy with catalogs, business glossaries, lineage, and metadata that connects business and technical views.

Outcome: Stand up a catalog and lineage layer that makes data findable and trusted.

08 Data Quality & Trust

Build the quality discipline - dimensions, profiling, rules, and monitoring - that earns and keeps stakeholder trust in the data.

Outcome: Define a data quality framework that sustains trust in the numbers.

09 KPIs & Value Realization

Implement KPIs, value-realization plans, and the metrics that prove the strategy is working and guide reinvestment.

Outcome: Build a value-realization plan with KPIs leadership can track.

10 Roadmap & Execution

Sequence the strategy into a funded, phased roadmap with quick wins, dependencies, and a governance cadence to keep it on track.

Outcome: Deliver a phased, funded roadmap ready to execute.

Cohort-only lab

Cohort-only Lab: Demonstrate an end-to-end data strategy live, at no cost

Available in cohort delivery only. In the cohort, we do not just design the strategy on paper - we stand it up live on a fully open-source stack, so you see the entire data strategy work end to end without any licensing cost. Every layer of the strategy maps to a proven open-source tool.

Available in cohort delivery only. The live open-source demonstration is not part of the self-paced track.

The open-source stack you run live

PostgreSQL / DuckDB
The storage and query engine - a warehouse and lakehouse layer at zero license cost.
Apache Airflow
Orchestration - scheduling and running the pipelines that move data end to end.
dbt (data build tool)
Transformation and data-product modeling with tests and documentation as code.
Apache Superset
BI and dashboards - turning governed data into the KPIs and value metrics from the strategy.
OpenMetadata
The data catalog, glossary, and metadata layer that makes data discoverable and governed.
OpenLineage / Marquez
End-to-end data lineage - proving trust and impact across the pipeline.
Great Expectations
Data quality rules, profiling, and monitoring wired into the pipelines.
Open Policy Agent (OPA)
Policy-as-code for access and governance decisions.
Keycloak
Identity and access management for secure, role-based data access.
Docker & Kubernetes
Packaging and running the whole stack reproducibly, on a laptop or a cluster.

Every layer of the strategy is demonstrated on proven open-source tools, so the full end-to-end flow runs without any licensing cost.

FAQ

Data Strategy - answered

What is the Data Strategy program?

Build an actionable, end-to-end data strategy that connects business vision to delivery - across 10 modules, with a live open-source demonstration in cohort. It is organized into 10 modules covering the full arc from business vision to delivered value.

Is this 10 chapters or 10 modules?

Ten modules. Each is a full module - vision and value, foundations, governance and operating model, organization and culture, architecture, data products and contracts, metadata and catalog, data quality, KPIs and value realization, and roadmap and execution - not a single chapter.

How does it help an organization build a data strategy?

It walks the complete end-to-end journey: aligning business goals to a data vision, standing up governance and an operating model, choosing an architecture, delivering data as products, ensuring quality and trust, and proving value with KPIs and a funded roadmap. The animated map on the page shows how each stage connects.

How does it help an individual?

It gives practitioners and leaders the frameworks, vocabulary, and artifacts to shape and execute a strategy - a one-page strategy, a governance model, an architecture blueprint, data-product designs, and a roadmap they can take into their organization.

What is the cohort-only open-source lab?

In the cohort, we stand up the entire data strategy live on a fully open-source stack - PostgreSQL/DuckDB, Airflow, dbt, Superset, OpenMetadata, OpenLineage, Great Expectations, OPA, Keycloak, and Docker/Kubernetes - so you see an end-to-end data strategy working, at no licensing cost. It is available in cohort delivery only.

Do I need budget or licenses for the lab?

No. The demonstration stack is entirely open-source, so you can reproduce the full end-to-end strategy on a laptop or a cluster without any licensing cost.

Who is it for?

CDOs and data leaders, heads of data and analytics, enterprise and data architects, governance leads, and practitioners who need to shape and execute a data strategy.

Is there a downloadable brochure?

Yes. A PDF brochure summarizing the 10 modules and the open-source lab is available from the download button at the top of this page.

Is it self-paced or cohort-based?

Both. The 10 modules are available self-paced with lifetime access. The live open-source demonstration lab is part of cohort delivery only. Private corporate delivery is also available.

How do I enrol or request details?

Use the contact form to request program details, cohort dates, or private corporate delivery, and a senior practitioner will respond.

Build a data strategy that ships

Take the 10 modules self-paced, or join a cohort to stand up the whole strategy live on open-source tools.

Enrol or enquire