Which products, services, customers, or jobs are actually profitable?
Compare revenue and direct costs, then examine shared overhead and owner time separately.
Didymus Analytics helps Lincoln-area business owners answer practical questions about profit, pricing, and how work gets done. We start with the reports and software you already use, check what the numbers establish, and investigate what remains unclear. Each project has a defined question, an agreed fee, and practical next steps.
Profit, pricing, capacity, and cash: start with the decision that matters to you.
Compare revenue and direct costs, then examine shared overhead and owner time separately.
Understand how staff and owner time affect capacity, delivery, and the work you choose.
Compare pricing options against costs, capacity, margin goals, and evidence about customer response.
Use bookings, receivables, and recurring expenses to explore cash timing under stated assumptions.
Identify the recurring measures that help you make decisions, starting with your current reports.
Check classifications, definitions, and reconciliation before relying on a comparison.
We investigate one important question about an agreed set of jobs, services, or customers. We review the relevant revenue and costs, check the assumptions behind the comparison, and explain the practical options the findings support.
Your proposal defines the exact scope. Implementation, extensive historical cleanup, and ongoing monitoring are included only when expressly agreed.
We review your business question and a sample of the available information before recommending an approach and price. Your proposal explains the work included, what you will receive, and the expected timeline.
We begin with your current reports and the question you need answered. Sometimes the next step is improving an existing report or how it is used. When additional analysis is useful, we agree on the specific work needed before the project begins.
A defined follow-up review can be agreed when useful—for example, reviewing subsequent projects after a change to estimating assumptions. It is scoped and priced separately unless included in your proposal.
These figures illustrate a cost comparison, not a client result or a recommendation.
Before recommending a pricing or service change, we consider which costs would actually change and how the decision would affect staff and owner time.
Choose an industry to explore a familiar operating question, the records we would examine, and how useful reporting can look. A dashboard is one possible output; the question determines the work.
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Illustrative sample data. All figures are fictional. Targets are examples to agree with each owner, not industry benchmarks or client results.
Select a measure to explore its trend and what it tells the owner.
What the owner learns
How it’s calculated
Start with this record
Example target · A discussion point, not an industry benchmark.
Tap any measure above to chart it. The dashed line is the example target.
| Month | Value |
|---|
Gross profit (revenue minus direct costs) over the last 12 months.
This sample shows margin after direct delivery costs, before shared overhead.
| Segment | Revenue | Direct costs | Gross profit | Margin |
|---|
Differences between segments identify questions; they do not prove causes. Direct costs are not always avoidable. Before changing a service, consider capacity, costs that would actually change, and any unpaid owner time not included here.
Try a decision
Choose a segment from this example. Adjust its income or direct costs to see why a small change can matter to the owner.
Illustration only, using the segment’s last 12 months. Income and direct costs change independently; volume, service mix, and shared overhead stay fixed. A price change could affect demand. Gross profit is before shared overhead, taxes, and owner distributions. This is a sensitivity example, not a forecast or recommendation.
How each number is calculated, why an owner should care, and which report it usually comes from.
| Measure | How it's calculated | Example target | Why it matters | Usual source |
|---|
What would you want to know about your business?
We review the available records, agree on a focused scope, and make the cost definitions and assumptions clear before the analysis begins.
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.
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.