Data & AI Strategy – Data Product Kickstart (DE)

Start small, gain clarity, and deliver tangible value

Turn a promising idea into a working data product. This hands-on workshop series guides you through three phases – Explore, Plan, Deliver – to identify a high-impact Microsoft Azure use case, map a pragmatic build path, and ship a Data Product MVP that proves real results. Along the way, we align roles, workflows, and ways of working so your teams can build and run data products efficiently and repeatably. You leave with a live MVP, a clear backlog, and a team ready to keep delivering value.

Why Data Products?

If you want results, build a product—not just a pipeline. We create a shared understanding of what a data product is, how it works day to day, and how to deliver one quickly while laying the groundwork to scale.

This workshop provides the answers by:

• Creating a shared understanding of data products
• Defining roles, responsibilities, and processes in a scalable operating model
• Making data findable, understandable, and trustworthy
• Delivering a Data Product MVP that proves value and enables scale

What You’ll Gain

By the end of the workshop, you will have:

• A validated Data Product MVP with a clear business case
• A pragmatic view on roles, processes, and data quality needs
• Hands-on experience with an approach to define a data product
• A scaling blueprint for future data products and a Data Product Factory

Our 3-Phase Approach

1. Definition

Lay the conceptual foundation.

• Use Case Ideation – Understand user needs, assess value contribution, and define proposed solutions
• Data Product Definition – Clarify product design, producers/consumers, data contracts, and business case

2. Enablement

Set up the structures and enablers.

• Meaning of Data – Ensure data products are findable, understandable, and trusted
• Data Organization Mapping – Define roles, processes, and operating model
• Data Quality – Identify and frame quality requirements for sustainable use
• Data Product Planning – Plan the MVP scope and implementation path on Microsoft Azure

3. Proof of Value

Translate theory into practice.

• MVP Data Product Development – Build and present your first Data Product
• Validation & Lessons Learned – Test, validate, and refine the MVP
• Scaling Blueprint – Define requirements for going live, scaling structures, and establishing a Data Product Factory

Guided by Builders and Product Advisors

A blended team—builders and product advisors—guides you from idea to launch. With proven toolsets and enterprise delivery know-how, we help your teams align, execute, and deliver a working Data Product MVP you can build on.

Start your journey to scalable data products today – with the Data Product Kickstart Workshop.