Data Does Not Decide The Strategic Data Activation Quadrant - Turning Information into action
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- Englisch ausgewählt
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
28.07.2026
Verlag
Independently PublishedSeitenzahl
318
Maße (L/B/H)
22,9/15,2/1,7 cm
Gewicht
429 g
Sprache
Englisch
EAN
9798189543807
Your organisation probably has enough data. What it lacks is the ability to act on it.
Dashboards multiply. Reports circulate. AI predicts. Meetings fill with numbers.
Yet priorities remain unchanged. Resources stay where they were. Accountability remains unclear. Organisations become more data-rich while making the same decisions in the same ways.
Data Does Not Decide explains why better information so often fails to produce better action, and what must change when it does.
At the centre of the book is the Strategic Data Activation Quadrant, or SDAQ. This practical framework diagnoses an organisation through two simple questions:
Can it see clearly?
Can it move on what it sees?
The answers reveal four organisational types: the Compliance Operator, the Reporting Machine, the Constrained Strategist, and the Strategic Data Leader. Each is trapped by a different constraint. Each requires a different path forward.
You will learn how to:
Identify where your organisation is stuck
Distinguish a data problem from a decision problem
Separate useful measures from reporting decoration
Build trust in the meaning of critical metrics
Connect numbers to owners, thresholds, decisions and consequences
Create governance that supports action
Prevent dashboards and AI from concealing weak decision processes
Decide where human judgement must remain
Assign accountability when automated systems act
Redesign one important decision through a practical ninety-day SDAQ Sprint
The book introduces four activation levers: governance clarity, trust in metric meaning, decision cadence and accountability linkage. Together, they turn data from something an organisation collects into something that changes what it does.
But this book is not only for executives.
Its principles apply wherever evidence, uncertainty and action meet. A prediction is not a decision. More information does not guarantee clarity. Acting and waiting carry different risks. A good outcome does not always prove that the original decision was sound. AI can offer an answer without accepting responsibility for what follows.
These lessons can improve decisions about projects, investments, careers, technology and everyday life. Formal authority is not required. Anyone who has watched strong evidence enter a conversation without changing the outcome will recognise the problem.
Developed through Daniel Berger's MBA research and enriched by seven years of work with an international organisation, the book draws on experience gained across more than fifty country visits and through discussions with leaders and key opinion leaders from a wide range of industries. It combines analytical discipline with the realities of organisations in which politics, incentives, authority and human judgement shape what happens next.
Data Does Not Decide is for executives, specialists, analysts, data and AI professionals, consultants, project leaders and anyone who must turn evidence into action, with or without formal authority.
You do not need another dashboard.
You need one trusted number, one consequential decision and the courage to act before certainty arrives.
Data does not decide. People do.
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