PurposeWhat decision does it serve?

Analytical dashboard

Slice, filter and drill into detailed data to find out why something happened.

Example dashboard

Click a category bar to filter the table below it, the way an analyst drills in.

Margin investigation
Why did margin fall in Q3?
Order-line data · refreshed hourlyShare
Date:Jul to Sep 2026Compare:Q2 2026Channel:AllPromotion:AnyReset
Margin change by category (pts)
Weekly margin by promotion type
No promotionBundleClearance
Products driving the change
ProductCategoryPromotionDiscountMargin
Aurora 55" TVElectronicsClearance32%8.4%
Nimbus earbudsElectronicsBundle25%19.0%
Vega sofaHomeClearance28%21.5%
Orbit lampHomeNone5%38.2%
Linen shirtApparelNone0%52.3%
Serum kitBeautyBundle15%47.9%

The data model behind it

Sales order lines

A transaction fact at order-line grain with six dimensions. Each dimension is another way to slice the question “why?”, which is exactly what an analytical dashboard needs and exactly what would overwhelm a strategic one.

Tables read
5 of 7
Joins
4
Fact type
Transaction fact (order-line grain)
Grain
One row per order line
Refresh
Hourly
Widgets

Highlighted: every table this view reads. Pick a widget to isolate its query.

Where it sits in the taxonomy

Its main question is “why?”, answered by exploring rather than by reading a fixed view. If a view answers “how are we doing?” without digging, it belongs to one of the other purposes.

  1. Does its audience own a decision the dashboard was built to support?Yes
  2. Is the main question “why did this happen?”Yes, they dig into causes
  3. Analytical dashboard

At a glance

Audience
Analysts and data-savvy managers
Decision horizon
Any; usually looking back
Refresh
Hourly to daily
Interaction
High: filters, drill-down, cross-highlighting
Typical content
Breakdowns, comparisons, detailed tables

Not to be confused with

Strategic dashboard
Strategic reports outcomes at a glance. Analytical exists to explain them.
Operational dashboard
Operational wants a reaction now. Analytical takes the time to find the cause.

How to recognise it

  • Many filters, and readers are expected to use them
  • Clicking one chart filters the others
  • Tables go down to individual transactions

Use it for

  • Root cause analysis
  • New questions nobody planned a report for

Avoid it for

  • Executives who need the answer in seconds
  • Wall screens with nobody to click

Often combined with