Reporting and analysis are consolidated under one central function so the organization works from one set of numbers, and decisions argued from other figures must first reconcile to it.
Borderline: whether this move is justified depends on the situation, and only the person in it can judge.
An example
Leadership meetings at a global consulting firm kept stalling on whose billable-hours figure was right, and the chief operating officer had had enough. Each practice had its own analysts and its own spreadsheets. She created a central insights function, moved the practice analysts into it, and gave it one job: a single set of numbers. She published the definitions, left practice heads read access to the time-and-billing system, and asked internal audit to test the central figures twice a year. When the head of the healthcare practice argued that pre-sales work was being counted as unbilled time, the central team reconciled her figures line by line, found she was right, and changed the definition for every practice. Leadership meetings got shorter. Within a year, pricing decisions were made from one dashboard that practice heads trusted enough to cite.
Why it works
Central numbers carry institutional weight, so using them gives political cover and looks better, and they are easy to consume: no local analysts, standard definitions, one dashboard. Decisions argued from other figures look weaker and cost more, because they must first be reconciled to the official set. One set of numbers also shortens arguments, which is real value. It depends on a sponsor with authority over the analytics function, definitions published for all to see, and a check on the central figures, through audit, open source data, or both, so the single source stays trusted.
The thinking behind it
Jeffrey Pfeffer Pfeffer's The External Control of Organizations: A Resource Dependence Perspective (1978) holds that control of a critical resource gives power over those who depend on it. Consolidating analysis makes every unit depend on the central function for its numbers, which gives that function and its sponsor real influence. Keeping source data open to units limits the dependence to what one set of numbers actually requires.
Carl I. Hovland Communication and Persuasion: Psychological Studies of Opinion Change (1953) reports that the same message is judged by the perceived expertise and trustworthiness of the person or body delivering it. A central function's figures persuade because it is seen as expert and neutral. Independent audits and quick public corrections keep that credibility, and a function caught dismissing accurate challenges loses it for every number it produces.
When it fits
Firms where meetings stall on competing numbers, or where duplicated analytics teams cost more than they add, have most to gain. It requires authority to reorganize reporting, a central team capable of producing reliable figures, and the willingness to keep source data open and the central numbers audited. It suits a leader who wants decisions argued on substance.
How to use it well
Consolidate the analysts and pipelines under one function with a clear mandate: one set of numbers. Publish the definitions and methods. Keep read access to source systems open to units for reconciliation, and give them a route to dispute figures. Ask internal audit, or an outside firm, to test the central numbers regularly and publish the result. When a unit's independent figure turns out to be right, change the official one quickly and say so, because the single source earns its authority by being corrected in the open. Give each practice a named liaison in the central team who knows its business.
What it costs and where it backfires
Centralizing removes analysts from the businesses that knew their numbers best, and some practices will feel the loss. A central function that gets a number wrong now gets it wrong everywhere. The move crosses the line when units lose the means to check, with source access withdrawn and independent figures labeled shadow reporting, so that accurate challenges are dismissed. Then the single source stops being a shared standard and becomes a way of controlling what counts as fact.
When it is used on you
Before the restructuring closes, ask for continued read access to source data and a route to dispute the central figures, and keep the records you are entitled to. When you bring a different number, reconcile it line by line to the official one. If accurate challenges are refused, ask for an independent audit.