See which loads, lanes and customers actually pay after deadhead, fuel, detention, repairs and downtime.

I am Olga Toshchakova, a data analyst and BI consultant. I help trucking teams turn messy trucking data into numbers an owner can actually use: all-mile profit, deadhead, detention billed vs collected, customer margin, repair downtime and the weekly number each truck has to cover before it makes money.

1. Fleet data audit

   I map what data you have in dispatch software, ELD or fleet tracking, fuel card files, invoices, BOLs, rate cons and accounting files. You get a short report showing which numbers reconcile, where the gaps are, and what can be trusted now.

2. Reports for load, lane and customer decisions

   I build reports around questions fleet owners already argue about: which loads looked good by the mile but lost money on all miles, where margin leaks, which customers keep trucks sitting, and which lanes leave you in dead areas.

3. Weekly reporting without spreadsheet scramble

   If someone spends Friday copying exports into a workbook, I look for a cleaner path. That might mean scheduled imports, refreshable tables, validation checks, or a simple weekly report that removes the manual step.

4. Rate con, invoice and payment reconciliation

   I line up what was booked, what was hauled, what was billed and what was actually paid. Detention billed vs collected, quick-pay or factoring fees, fuel, tolls and customer payment delays stop hiding in separate files.

5. One-off lane or customer deep dives

   When you need an answer rather than a permanent system, I can run a focused analysis: customer profitability, deadhead patterns, detention recovery, fuel leakage, repair downtime or whether a lane is worth keeping.

6. Ongoing reporting support

   After launch I can stay on to add new trucks, customers, lanes, cost categories or source files, and remove reports that no longer help anyone. Hourly or on a retainer, whichever fits.

Small calculators and checklists for owner-operators and small fleets. They are built to be useful on their own, even if you never contact me.

These live demos show the visible layer of the work. Behind each report sits the cleanup, matching and metric logic needed before the numbers become useful.

Subscription BI tools make sense when you have an internal analytics team and many reports to maintain. For a smaller team, the expensive part is often the hidden work: cleaning exports, reconciling definitions, refreshing files and explaining why two reports disagree.

1. Audit only

   We can start with a short audit if you first need to know what you have. I review the exports, map sources and gaps, check which numbers reconcile, and send back a written report. You can stop there.

2. Audit + dashboard or reporting build

   If the audit shows a clear build path, we agree the exact output: dashboard, cleaned data layer, automated report, API pull, or a small internal tool. I quote that scope before build work begins, so there is no open-ended meter running.

3. Audit + build + ongoing support

   Some teams want me to stay close after launch. That can cover new sources, reporting tweaks, automation fixes, monthly checks and deeper analysis when the business changes. We agree that separately, based on how much support you want.

We agree the scope first: audit only, audit + build, or audit + build + support. Then I quote the work before paid work begins.

If the system is not listed, a sample export is enough to check. CSV, Excel and scheduled reports are often all we need to start.

1. 1

   Intro call, 30–40 minutes

   You walk me through the problem you’re trying to solve and the decisions riding on it. I ask about your data and how things work today. Free, no commitment.

2. 2

   Short data audit

   I look at your exports, check which calculations hold up, and come back with timelines, scope and a list of proposed metrics or automations.

3. 3

   Working prototype in 1–2 weeks

   I build a minimal working version on your real data. It might be a report, dashboard, cleaned dataset, refresh workflow or small internal tool. We review it together and decide what to keep, add or drop.

4. 4

   Final version and handover

   I polish the logic, document the process and walk your team through the finished setup. From there you can keep it in-house, or I can stay involved when the data changes.

What if our data is only in Excel?

That’s fine and often easier. I’ll consolidate the spreadsheets, check what reconciles with what, and build the reporting layer directly on top of them.

How do you quote the work?

It depends on what we agree to do: audit only, audit plus dashboard or reporting build, or audit plus build and ongoing support. I quote the agreed scope once the data sources, deliverables, timeline and handover needs are clear.

Can we edit it ourselves later?

You can always edit the source data. For the logic, refreshes and layout, I can train someone on your team or maintain it on a retainer.

Where will the reporting tool live?

Wherever suits you: your domain, an internal server, a private link, or just locally on the director’s laptop. Your data doesn’t leave your perimeter unless you want it to.

Do you sign NDAs?

Yes, I sign a non-disclosure agreement before any data changes hands.