an Agile Data Guide to Information Product Canvas: Capturing data and information requirements in a repeatable way so stakeholders love them and data teams can build from them - Couverture souple

Gibson, Shane

Couverture souple

ISBN 10 : 1067047913 ISBN 13 : 9781067047917

Editeur : Agile Data Guides, 2025

Synopsis

Are you tired of spending valuable time documenting data requirements, only to hear "that's not what I wanted"?

Do you feel like a "data order taker" instead of a trusted partner who helps drive meaningful organisational outcomes?

Is your data team struggling because stakeholders speak a "very different language" when it comes to their data needs?

Are traditional requirements gathering methods leaving you with ambiguous needs, leading to wasted effort and projects that underdeliver?

If you answered yes to any of these, then An Agile Data Guide To Information Product Canvas is for you. This isn't just another tech or methodology heavy book, it's the beginning of your journey into a set of proven patterns and pattern templates designed to change how you gather data requirements and deliver organisational value.

Created by Shane Gibson, Agile Data Coach and author of the Agile Data Guides, drawing inspiration from the proven Agile Data Way of Working, this guide introduces the Information Product Canvas. It's a simple, clear, and concise pattern template specifically designed to quickly discover and capture data and information requirements in a repeatable way.

Imagine capturing requirements in just 30 minutes using a shared language that everyone understands, regardless of their role or technical fluency. This guide shows you how to use the Information Product Canvas to visually collaborate with stakeholders, validating requirements as they are captured and ensuring that what will and won’t be included is clearly defined to set scope boundaries.

By focusing on capturing both the what and the why, connecting data work directly to the Actions and Outcomes stakeholders want to achieve, you will ensure every piece of your data work is tied to a clear and measurable organisational benefit.

This approach helps you avoid building things no one uses and ensures your Information Products, carefully prepared 'products' like dashboards, reports, datasets, or APIs that deliver the right information to the right people, valuable outcomes like reducing churn or increasing revenue.

This guide is essential for Business Analysts, Product Managers, Data Analysts, Data Engineers, Data Leaders, Agile Coaches, and Stakeholders. It provides actionable methods to:

• Capture stakeholder needs and data requirements clearly, concisely, and in a way that receives instant feedback;
• Empower data teams with everything they need to build, without drowning them in unnecessary detail;
• Help stakeholders prioritise what’s important by making requirements understandable at a glance;
• Reduce rework and minimise back-and-forth between data teams and stakeholders;
• Ensure faster delivery of valuable Information Products;
• Become a "data to business translator" in your organisation;
• Create trust within your stakeholders by consistently identifying what’s important.

Shane Gibson, with over 35 years in the data domain and 10 years coaching data teams, shares his expertise and experience in this guide, helping you adopt new ways of working patterns so your teams can deliver value earlier and have fun while delivering it.

An Agile Data Guide To Information Product Canvas is just the beginning of your journey. You can continue learning via the companion website, a virtual in-person course, or get instant answers from the AgileData.Coach AI Chatbot.

Get your copy today and start gathering requirements in 30 minutes, building trust with stakeholders, and delivering valuable outcomes with less waste!

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Détails de l'édition

• Éditeur: Agile Data Guides
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 1067047913
• ISBN 13: 9781067047917
• Reliure: Broché
• Nombre de pages: 193
• Coordonnées du fabricant: Manufactured by Amazon on behalf of the author; https://www.amazon.fr/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxembourg