A Worked Example
An analyst may ask why order fulfilment slowed in one region. The dashboard can show the trend by week, product and hand-off stage. The analyst then checks definitions and writes an explanation.
Bring approved business data together. Define the measure, explore what changed, and build a dashboard people can question. Then explain what the evidence means in your own words.
Mimasa AI helps you move from a scattered request to a clear business analysis. Keep the work in your team or choose what is suitable to publish.
Source-aware measures · Analyst review · Connected dashboards · Controlled sharing
The Question
Why did order fulfilment slow in the northern region last quarter?
Measure Definition
On-time delivery = delivered by agreed date ÷ eligible deliveries. Grain: shipment.
Weekly Trend · Fictional Data
Weeks 1 to 6: 92, 91, 89, 88, 85, 84 per cent. Source: sample delivery extract.
Analyst Note
Most of the decline sits in one hand-off stage. Open orders are not included yet.
A business analyst dashboard is a working view of measures tied to a business question. It should help people compare results, inspect differences and decide what to investigate next.
An analyst may ask why order fulfilment slowed in one region. The dashboard can show the trend by week, product and hand-off stage. The analyst then checks definitions and writes an explanation.
Mimasa supports that workflow with connected data, charts, narrative analysis and sharing controls. This is business intelligence for business analysts who must explain measures as well as show results. The analyst decides what the result means for the organisation.
Business analysts often receive a request such as “Show me why delivery is slower.” A chart cannot answer it until the team agrees on what “delivery” and “slower” mean.
What will someone decide from this analysis?
What counts as an on-time delivery?
Is the unit an order, shipment, item or customer?
Which period, region, product or team matters?
Which system holds the authoritative event?
When did that source last update?
Who may view the underlying records and results?
These are the business analyst data requirements behind a reliable view. The business analyst reporting requirements also cover the audience, filters, explanations and review cadence.
A business analysis dashboard should keep the question, source and result together. Build it in a short, reviewable sequence.
01
Select approved data from the systems and files relevant to the question.
02
Align dates, keys and definitions. Mark missing or stale fields.
03
Define the measure and filters before charting.
04
Ask a question in plain language and inspect the result.
05
Adjust the chart, then verify totals against the source.
06
Add a short written finding and the limits of the data.
07
Save the dashboard and set a review or refresh schedule.
The connected chart may update when its source refreshes. The written conclusion needs an analyst’s review when new data changes the story.
Learn how interactive charts are built from governed data. The product page covers the tool; this page covers the analyst’s method.
Good business analysis performance measures connect a goal to an observable result. The analyst defines the formula, checks the data and records any exclusions.
An illustrative business analyst KPI dashboard might include these measures.
| Measure | Definition to check | Useful next question |
|---|---|---|
| Order cycle time | Order accepted to delivery confirmed | Where did waiting time increase? |
| On-time delivery | Delivered by the agreed date ÷ eligible deliveries | Which hand-off caused the gap? |
| Rework rate | Cases reopened ÷ completed cases | Did the reason change by team? |
| Backlog ageing | Open cases by age band | Are old cases concentrated in one step? |
Illustrative example only. No numbers in this table are live Mimasa, client or industry results.
A business analyst scorecard can present agreed business measures. It should show the period, owner and definition. It does not measure an individual analyst’s productivity.
Suppose the on-time measure declines. A business analyst can compare periods and break the result down by region, supplier or process step.
Mimasa can help reveal patterns and draft a summary. The analyst checks whether the pattern is real, asks what else could explain it and presents the evidence.
For a focused logistics implementation, see carrier, lane and delivery analysis.
Business analyst data visualization is about choosing a view that answers the question.
Useful view: Trend line
Verify: Consistent periods and missing dates
Useful view: Ranked bar chart
Verify: Group sizes and comparable definitions
Useful view: Stage comparison
Verify: Start and end events for each stage
Useful view: Composition chart or table
Verify: Parts sum to the stated total
Give each visual a descriptive title. Include a source and last-updated label. Describe the takeaway in text for people who cannot see the chart.
People need to know what changed, why the analyst thinks it changed and what remains uncertain. Keep the writing close to the view.
Business analyst KPI reporting becomes more useful when each update shows the measure definition, data period, change, interpretation and next question.
The later stage accounts for most of the rise in order cycle time. This view covers completed orders only. We should check open orders before changing the service target.
That note separates an observed pattern from a possible next step. Mimasa can draft a report, but the analyst verifies the source and approves the final wording.
An analyst may need one dashboard for an internal review and another for a public audience. Choose visibility before sharing.
Suitable content: Working questions, draft measures and untested views
Review first: Check data access and definitions
Suitable content: Approved internal measures and review notes
Review first: Check role permissions and intended recipients
Suitable content: Licensed or approved aggregate data and an explained method
Review first: Check disclosure, source rights, redaction and preview
Where publication is available in the configured product, a public dashboard can stay connected to approved data. State its update schedule. Review the accompanying narrative when the figures change. Only publish data your organisation permits you to share.
The business analyst can work through a question without losing its context.
Step 01
Work with approved data from relevant systems.
Step 02
Align fields and create reusable definitions.
Step 03
Ask questions and inspect patterns.
Step 04
Write a finding with source context and caveats.
Step 05
Give access to the right team or publish suitable work.
Step 06
Check changes as the connected data refreshes.
The analyst method travels across teams, but the measures and questions differ.
For a specialist example of connected data and analyst review, explore institutional and student performance analysis.
Clear answers about dashboards, measure definitions, refresh schedules, sharing choices and the analyst’s role.
Start with one business question. Define the measure, build a connected dashboard and share an explanation your audience can examine.