The verdict in three sentences
For a company with four subsidiaries, Power BI is enough when data comes cleanly out of one or two accounting systems and users mostly consult. A custom dashboard at USD 22,000 to 50,000 (EUR 20,000 to 45,000) makes sense as soon as finance wants to enter forecasts, receive automatic alerts and manage access rights per entity precisely. Either way, the first workstream is not the tool: it is harmonizing charts of accounts and calculation rules across entities, without which the 14 Monday spreadsheets will never go away.
Power BI vs custom: the costed comparison
The table compares both approaches for a finance function of 30 users (CFO, FP&A analysts, subsidiary heads, executive committee).
| Criterion (2026 order of magnitude) | Power BI Pro with an integrator | Custom dashboard |
|---|---|---|
| Initial setup | USD 11,000 to 27,000 | USD 22,000 to 50,000 |
| Annual licences (30 users) | About USD 5,000 (USD 14 per user per month) | No licence |
| Maintenance and changes | USD 3,300 to 8,800 per year from the integrator | USD 4,400 to 8,800 per year |
| Forecast and budget entry | Limited, needs a third-party tool | Native (forms, versions, approval) |
| Threshold alerts (cash, DSO, margin) | Simple tile alerts | Business alerts via email, Teams or SMS |
| Rights per entity and per row | Row-level security to configure | Tailored access model |
| Team autonomy to build views | High | Medium, views defined upfront |
| Time to go live | 6 to 10 weeks | 10 to 16 weeks |
The real difference is usage: Power BI excels at exploration and reporting, custom at active steering with data entry, workflow and alerts.
Data sources drive everything
Before choosing, map your sources. A four-entity company rarely has fewer than five.
| Source | Common example | Integration difficulty |
|---|---|---|
| Accounting, entities A and B | Sage Intacct or NetSuite | Medium, export or connector |
| Accounting, entities C and D | QuickBooks or Xero | Low, API available |
| Banks (statements, balances) | Bank APIs or an aggregator | Medium, USD 220 to 660 per month for an aggregator |
| CRM and billing | HubSpot, Salesforce, in-house tool | Varies with the API |
| Forecast files | Subsidiary heads' spreadsheets | High, to replace with structured entry |
| Payroll and headcount | ADP, Gusto | Low to medium |
Rule of thumb: beyond two sources without an API and hand-typed forecasts, custom saves more time than it costs.
What the Monday dashboard must show
A mid-market CFO's priority metrics fit on one screen: consolidated cash and 13-week cash forecast, gross margin per entity and business line, DSO and aged receivables, budget variance, and working capital need. The most useful alerts in 2026 fire on a projected cash balance below a threshold, a customer more than 60 days overdue and a margin dropping more than 2 points in the month.
Mini case study
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Rachel, CFO of a USD 65 million New York company with four subsidiaries, has two FP&A analysts spending 1.5 days each every week consolidating 14 spreadsheets, about 966 hours per year at USD 75 per loaded hour: USD 72,450. With a custom dashboard at USD 38,000 plus USD 6,600 of yearly maintenance, she automates 80% of that work, recovering USD 57,960. Aged receivables alerts target 5 fewer days of DSO: USD 65 million divided by 365 times 5, about USD 890,000 of working capital released, or USD 44,500 of financing cost avoided at 5%. Net annual gain of USD 95,860 after maintenance: the project pays back in under 5 months.
FAQ
Can we start with Power BI and move to custom later?
Yes, provided you build a clean data warehouse from the start. The data model built for Power BI, around 40% of the budget, is reusable by a custom application.
How long until a first usable dashboard?
Plan 6 to 8 weeks for consolidated cash and DSO, then 4 to 6 more weeks for margins and forecasts. Harmonizing charts of accounts often takes the first month.
Will subsidiary heads see other entities' figures?
No, rights are set per entity and per metric. The executive committee sees the consolidated view, each head sees their own scope, configured in 2 to 4 days.
Does AI add anything?
Yes, for cash forecasting and anomaly detection. A collections forecasting model trained on customer history improves accuracy by 15 to 25% compared with a moving average.
Where is the data hosted?
Custom builds can be hosted with a US or EU cloud provider depending on your compliance requirements. Power BI also offers regional data residency.
Let's scope your project. List your entities, accounting systems and current spreadsheets: we will quote a consolidated dashboard between USD 22,000 and 50,000, or a Power BI rollout if that fits better, with a 6 to 16 week plan. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.

