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Imagine building a new city without a "town plan" yet some people build IT solutions without the data equivalent.
The reader will be equipped with "how to" guidelines to facilitate their business in the building of their own Data Town Plan. Steps include forming a tight team, delivering initial value (potentially in weeks), then enabling ongoing alignment of the business vision with progressive IT solution delivery.
Data Town Plans should:
Some people shy away from vital enterprise-level initiatives because they believe they take too long, cost too much, or are simply unachievable. Data Town Plans shouldn't take forever to articulate, nor cost a fortune. But their contributions should last forever (well, a long time) and save a fortune.
John's approach allows everyone, not just the technical experts, to focus on what really matters: how data reflects the actual reality of the business and how we can and should capture that reflection to give our initiatives a solid blueprint, while still avoiding getting tangled in never-ending enterprise-scale documentation efforts. The real-life examples and anecdotes from John's long career not only offer further proof that this can really be done and it works, but also help us remember that it all comes down to understanding and learning from our fellow human beings. Few data books can make you smile while you learn like John's does!
Juha Korpela: Independent consultant
John Giles has consistently been an inspirational and trusted voice in the world of data modeling, with his prior books, The Nimble Elephant and The Elephant in the Fridge, serving as cornerstones in my own career. This new book is a compelling continuation of that legacy, masterfully building on the foundations he has laid. By introducing the concept of "Data Town Planning," John positions data as a vital bridge between IT and business, advocating for collaborative workshops, pattern-based planning, and iterative refinement to align organizational goals with technological execution.
Keith Belanger: Consultant at SqlDBM
John Giles shows how a future-oriented enterprise-wide conceptual data model can potentially be created in just four weeks in collaboration with the relevant departments. At its core, his approach consists of a strong categorization with nine basic concepts, their relationships to each other and the use of sample data models for these nine concepts.
Michael Muller: Independent consultant
