One place your team decides from
Dashboards & Business Intelligence in Tanzania
Instead of three people checking three files, one dashboard everyone trusts answers the question on a phone, before the meeting starts.
01 — The problem
Signs you need this
- 01.1
The same question gets two different numbers
- 01.2
The management report is stale when it lands
- 01.3
Decisions wait on one person’s spreadsheet
02 — Deliverables
What you get
- 02.1
Executive and departmental views
An overview for leaders, and the detail for those who act.
- 02.2
KPIs graded automatically
Target, actual and gap, colour-coded.
- 02.3
Drill-down to the record
From the total to the branch, officer and transaction.
- 02.4
One engine, one answer
Same logic everywhere, so finance and operations see one figure.
03 — Sample
See it in a sample
Charts from our sample dashboards, with the decision each one supports.
Sample data — we never publish client dashboards
Sample lender (microfinance) · Jan–Sep 2026 · TZS
SAMPLE DATA
- Revenue, year to date
- TZS 18.4 bn
- Watch94% of TZS 19.6 bn target
- Collection efficiency
- 96.8%
- On targetTarget 95.0%
- Active borrowers
- 48,210
- On target+6.1% since end of June
- Cost-to-income
- 58.3%
- On targetCeiling 60.0%
Fig. 03.1
Revenue against target, by month
Revenue was below the TZS 2.18 bn monthly target until September (TZS 2.30 bn).
Sep · TZS 2.30 bn · 106% of target
- September is the first month above target.Decision: Leadership can adjust the fourth-quarter plan now.
Source: DataHub sample data · TZS · Jan–Sep 2026
View as table
| Month | Revenue (TZS bn) | Target (TZS bn) |
|---|---|---|
| Jan | 1.86 | 2.18 |
| Feb | 1.92 | 2.18 |
| Mar | 2.08 | 2.18 |
| Apr | 1.98 | 2.18 |
| May | 2.11 | 2.18 |
| Jun | 2.16 | 2.18 |
| Jul | 2.02 | 2.18 |
| Aug | 1.97 | 2.18 |
| Sep | 2.30 | 2.18 |
Fig. 03.2
Branches, % of revenue target
Only Kariakoo is above target, at 104%.
Mbeya · 84% of target
- Mbeya is lowest, at 84% of target.Decision: Regional managers know where to go first.
Source: DataHub sample data · TZS · Jan–Sep 2026
View as table
| Branch | % of target |
|---|---|
| Kariakoo | 104% |
| Mlimani City | 99% |
| Arusha CBD | 97% |
| Mwanza | 95% |
| Moshi | 93% |
| Zanzibar Stone Town | 91% |
| Dodoma | 88% |
| Mbeya | 84% |
Every name and number here is invented.
Source: DataHub sample data · TZS · Jan–Sep 2026
04 — Questions
Questions about Dashboards
Q 04.1Do you build custom dashboards or use Power BI?
Both. Power BI suits clean data and standard questions; a custom dashboard suits logic that is your own.
Q 04.2Where does the data come from?
Wherever it lives now: core banking, ERP, a database or spreadsheets. We bring it together.
Q 04.3Can our team use it without training?
Yes, and we train them anyway. If a chart needs explaining, we fix the chart.
05 — More services
