Business intelligence changes a decision in two specific ways: everyone looking at the number sees the same one, and the wait between asking a question and getting an answer drops from days of exporting spreadsheets to the time it takes to open a report. Neither of those is abstract. Both show up in how a pricing or inventory decision actually gets made.

Same number, less latency

Before a shared semantic model, a margin question usually meant someone building a pivot table from an export. A different person built a different pivot table from a different export. The two numbers rarely matched exactly, and the meeting spent time reconciling them instead of deciding anything. A shared Power BI semantic model removes that step: one measure, one definition, and everyone in the meeting is looking at the same number.

Example: catching a margin problem before it compounds

A margin measure with conditional formatting flags any SKU below target the moment the report opens, instead of waiting for a monthly review to notice it:

Margin % =
DIVIDE ( [Total Margin], [Total Revenue] )

Applying a background color rule to this measure in a table visual, red under 20%, changes what a buyer sees. Scanning fifty SKUs, the problem rows stand out immediately. Nothing gets lost in a column of numbers read one at a time. That is the decision BI changes: not whether someone notices a margin problem eventually, but whether they notice it before the next order is already placed.

Example: deciding how much stock to reorder

Days of stock cover turns a raw inventory count into a number a buyer can act on directly:

Days of Stock Cover =
DIVIDE ( [Ending Inventory Units], [Average Daily Units Sold] )

A buyer comparing this measure across products decides which ones to reorder now and which can wait, instead of reordering everything on a fixed schedule regardless of how fast each one is actually moving.

What BI does not change

A report does not make the reorder decision. It puts the number in front of the person who does, when they need it, in a form they can compare across products. The decision is still a person's judgment call. BI removes the delay and the disagreement over the number, not the judgment itself.

The tool matters less than the discipline behind it

A shared semantic model, one set of measures, and conditional formatting rules that surface a problem instead of hiding it in a column of numbers, work the same way regardless of which BI tool sits on top. Our Power BI vs Tableau comparison covers where the tools genuinely differ. What actually breaks most BI projects is rarely the tool choice. Our guide to why Power BI projects fail covers the more common causes. For building the strategy this sits inside, see how to create a business intelligence strategy.

Sources

• Conditional formatting in tables and matrixes - Microsoft Learn