Optimizing the Enterprise in the AI-Native Era, Volume 3 (Paperback)
Language: English
Published by Independently Published, 2026
Series: Book 3 of 4 - Optimizing the Enterprise in the AI-Native Era
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 17.49
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Paperback. Your platform needs 8.69% of your tables. The other 91% is a three-year project nobody can defend.Ashgrove Group has 2,140 tables across eleven source systems. Its 68 priority decisions need 186 of them.That single change of question - from "what data do we have?" to "what do our decisions need?" - is the largest cost lever in platform design, and everything in this book is downstream of it.The number this book is written aroundAshgrove's platform costs $4.17 million a year and supports decisions worth $18.6 million. That is 22.40% of the value it enables - defensible, but not obviously so. This book answers the three questions that follow with arithmetic rather than argument: would buying it as a service cost less, which decisions cost more to support than they return, and how many more decisions must it carry before the ratio becomes comfortable.What you will be able to doReconcile the four tiers - DATA, INFORMATION, KNOWLEDGE, DECISION - with the seven build layers, once, so the whole organization stops arguing about which "layer three" it meansScore sixteen capabilities against evidence rather than impression, and find that the groups scoring 1 are exactly the groups with no named ownerChoose technology with a weighted matrix whose minimums eliminate, and discover when the choice is not a technology choice at allAnswer buy versus build with all five costs, including the three that are borne by other teams and never appear on the slideSize the platform from decision volume: 5.2 cores where a data-volume rule of thumb says 237Allocate cost honestly - half of it is joint and always will be - and compute marginal and total cost per decisionSecure a system where no component is breached and the composition still disclosesWrite exit criteria that a stage cannot be declared complete four times againstEvery number was produced by running the codeTwo runnable models and thirty-nine check chains bind every figure in this volume to a single data sheet. Two of those chains tie it to Volumes 1 and 2 - change the earlier company's revenue and this book fails immediately. The chains caught real errors during writing, and the book says which ones.Reads on its ownChapter 33 reproduces everything this volume depends on: the tier layer map, the complete Ashgrove data sheet, and the four results from Volumes 1 and 2 that the platform arithmetic rests on.Fourteen chapters, ten self-test questions each with explained answers. Five appendices including the capability matrix with a blank version to fill in for your own organization, and a 182-term glossary shared across the series. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
Seller Inventory # 9798174014046
- Title
- Optimizing the Enterprise in the AI-Native Era, Volume 3 (Paperback)
- Author
- Vu Tri Cong Mobiluck - Code247 Ai
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798174014046
- Series
- Book 3 of 4: Optimizing the Enterprise in the AI-Native Era
Your platform needs 8.69% of your tables. The other 91% is a three-year project nobody can defend.
Ashgrove Group has 2,140 tables across eleven source systems. Its 68 priority decisions need 186 of them.
That single change of question — from "what data do we have?" to "what do our decisions need?" — is the largest cost lever in platform design, and everything in this book is downstream of it.
The number this book is written around
Ashgrove's platform costs $4.17 million a year and supports decisions worth $18.6 million. That is 22.40% of the value it enables — defensible, but not obviously so. This book answers the three questions that follow with arithmetic rather than argument: would buying it as a service cost less, which decisions cost more to support than they return, and how many more decisions must it carry before the ratio becomes comfortable.
What you will be able to do
- Reconcile the four tiers — DATA, INFORMATION, KNOWLEDGE, DECISION — with the seven build layers, once, so the whole organization stops arguing about which "layer three" it means
- Score sixteen capabilities against evidence rather than impression, and find that the groups scoring 1 are exactly the groups with no named owner
- Choose technology with a weighted matrix whose minimums eliminate, and discover when the choice is not a technology choice at all
- Answer buy versus build with all five costs, including the three that are borne by other teams and never appear on the slide
- Size the platform from decision volume: 5.2 cores where a data-volume rule of thumb says 237
- Allocate cost honestly — half of it is joint and always will be — and compute marginal and total cost per decision
- Secure a system where no component is breached and the composition still discloses
- Write exit criteria that a stage cannot be declared complete four times against
Every number was produced by running the code
Two runnable models and thirty-nine check chains bind every figure in this volume to a single data sheet. Two of those chains tie it to Volumes 1 and 2 — change the earlier company's revenue and this book fails immediately. The chains caught real errors during writing, and the book says which ones.
Reads on its own
Chapter 33 reproduces everything this volume depends on: the tier × layer map, the complete Ashgrove data sheet, and the four results from Volumes 1 and 2 that the platform arithmetic rests on.
Fourteen chapters, ten self-test questions each with explained answers. Five appendices including the capability matrix with a blank version to fill in for your own organization, and a 182-term glossary shared across the series.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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