01 · Profitability
Which products, services, customers, or jobs are actually profitable?
Match revenue to the fully loaded cost of delivering each product, service, customer, project or job, or location so volume does not masquerade as profit.
Analytics for owner-led businesses
Turn the numbers you already have into better decisions.
Didymus Analytics helps small-business owners see what is actually profitable, where their time is going, whether pricing works, and what cash flow is likely to do next—without buying enterprise software or building a data department.
✓ Fixed-scope engagements
✓ Uses your existing data
✓ Built around real business questions
What the owner learns
The work with the most revenue is not necessarily the work making the most money.
1
Custom projects bring in the most revenue—but not the most profit$118,000 of revenue turns into only $17,000 of profit once the full cost of delivering the work is included.
2
Maintenance plans are the strongest economic engineThey produce $43,000 of profit on only $72,000 of revenue, a 60% margin.
3
Rush jobs are actively losing moneyThe owner can now decide whether to raise rush pricing, change how the work is delivered, or stop offering it.
The work starts here
Small-business questions that deserve a numerical answer.
Most owners do not need “analytics” in the abstract. They need clarity on a handful of decisions that directly affect margin, time, and cash.
02 · Owner time
Where is my week going?
Map calendar time against revenue and operating work to identify what should be delegated, automated, standardized, or stopped.
03 · Pricing
Am I charging enough?
Build the rate from actual labor, overhead, capacity, and target margin instead of relying on competitor prices or gut feel.
04 · Cash flow
What will slow season look like?
Turn bookings, receivables, and recurring expenses into a simple forward view before cash timing becomes an emergency.
05 · Reporting
Which numbers should I watch every month?
Reduce a messy spreadsheet stack to the few measures that actually change what you do next.
06 · Data quality
Can I trust the data I’m using?
For businesses and nonprofits, clean up classification and reporting logic so management decisions rest on consistent inputs.
Three practical ways in
Scoped for a small business, not a corporate analytics team.
Start with a defined question. Use the systems you already have. Get a result you can keep using after the engagement ends.
Service Line Snapshot
A short fixed-fee analysis of what you sell, what it takes to deliver, and where margin is really coming from.
- Service profitability by line
- Owner time mapped to revenue
- Pricing implications
- Concrete recommendations
Dashboards & Reporting
A lightweight reporting system in Power BI or spreadsheets—whichever you will actually maintain and use.
- Monthly KPI structure
- Board or owner reporting
- Source-data cleanup
- Repeatable refresh process
Advisory
A light retainer for owners or executive directors who want a numbers person in their corner before bigger moves.
- Quarterly business reviews
- Pricing and revenue decisions
- Scenario modeling
- Second set of eyes
01
Bring one questionWe define the decision you are trying to make.02
Use existing dataBookings, invoices, calendars, spreadsheets, bank feeds, or donor systems.03
Build the modelThe analysis is scoped to the question—not to a software implementation.04
Leave with a systemYou get the answer and a simple way to keep the useful part running.An operator’s lens
Business first. Analytics second.
Didymus Analytics is built around a simple premise: small-business owners do not need someone to sell them a complicated stack. They need someone who can understand the operating question, work from imperfect real-world data, and translate the result into a decision.
Before founding Didymus Analytics, Thomas managed operating budgets, reported to boards, led systems transitions, trained healthcare providers, and owned compliance responsibilities. That background shapes the work: practical scope, careful definitions, and an insistence that the numbers lead somewhere useful.
Early conversations
What is the one question about your business you wish your numbers could answer?
Bring that question to a free, no-pitch 30-minute conversation. We will look at the data you already have and decide whether a small analytics engagement can answer it. If it is not a fit, you will hear that plainly.