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From Data to Decisions How to Make Wisdom Executable

   Author: creativelivenew1   |   09 October 2026   |   Comments icon: 0


From Data to Decisions: How to Make Wisdom Executable (Wisdom as Strategy Book) by Rogério Figurelli
English | October 17, 2025 | ISBN: N/A | ASIN: B0FWPFTTQ3 | 165 pages | EPUB | 1.73 Mb
Most teams are rich in data and models yet poor in decisions that keep their shape when the world moves. The missing piece isn't another dashboard; it's a visible brake that ties intent to action. This book offers that brake and a method you can run.


At its core is a compact claim: W = I^C - wisdom is capability (I) modulated by conscience (C). Permission is not decoration; it's the exponent that determines how much power you may deploy. Neutrality is explicit (C = 0 ⇒ W = 1, a safe no-op). Full strength is earned (C = 1 ⇒ W = I), which only makes sense if capability is measured where it hurts: kWh per decision, latency in ms, dollars per case - benchmarked against a fixed budget so trade-offs stop hiding behind slogans.
Conscience becomes computable too: a composite of consent, admissibility, reversibility, provenance, and ethical alignment governed by a bright-line that turns debate into pass or hold. Every claim ships with a receipt - one page, pass-fail, in native units - with a data window, deterministic IDs and seeds, and an evidence hash. No receipt, no decision. Because change bends risk before it breaks systems, the method adds curvature κ with warning/stop thresholds that trigger promote, hold, or rollback while the curve is still turning. Invariants carry non-negotiables across upgrades - tail harm ≤ budget, P95 latency ≤ target, kWh/decision ≤ cap - so improvements stop injuring the very segments they promised to help. A Decision Card binds context, options, receipts, and reversal cost into a contract you can read in minutes and replay in one command. Quiet SLAs and promotion windows make reversals ordinary and cheap.
Evaluation leaves averages and goes to segments and tails, where harm lives and fairness must pass in numbers, not rhetoric. A Proof Interface standardizes ledgers, IDs, windows, and replay scripts so reproducibility becomes a button, not a week-long project. Energy honesty sits next to quality: by tracking CPU·s, DRAM·GB·s, I/O, and network as kWh per decision, teams learn to choose the smallest-sufficient model that meets the bar and to price reversibility alongside accuracy and revenue. Strategy gets a crisp map: high-I/low-C is fast and brittle; low-I/high-C is safe and inert; the destination is high-I/high-C - real capability with active permission.
You will learn how to:
* Make capability I computable in native units under fixed budgets.
* Compose conscience C from consent, admissibility, reversibility, provenance, and ethics.
* Write one-page receipts and run "no receipt, no decision" with confidence.
* Set invariants and κ-gates to act on bend-before-break.
* Use Decision Cards, quiet SLAs, and promotion windows to keep reversals cheap.
* Audit with a Proof Interface and tails-first evaluation.
* Choose the smallest-sufficient model and price portability and rollback.
The promise is deliberately modest: fewer, stronger statements your systems can keep - governed by a brake you can justify and a receipt you can share. The future of advanced analytics belongs to teams that can prove what they claim and undo what they must.


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