INFINEXT / 23YR / TRADE-DATA
00OPENING|HERO
Power BI & Data Infrastructure for International Trade Operations

When a client says your report is wrong, do you know why?

That email, call or meeting where the numbers don't align — it's more than a technical problem. It's a relationship problem. While you're trying to determine who's right, your client is quietly reconsidering how much they trust you.

Begin the conversation A focused session about your reporting. No cost. No obligation
01DISCREPANCY|WHERE

There's a discrepancy in your data. The question is where it came from.

By the time a client flags it, it's been there a while.

Data errors result from many different causes. There could be an issue in one of the sources that feeds data into your system, the way that data was processed and stored, or a calculation that works correctly in most scenarios but breaks under the exact conditions your client just encountered.

Finding it requires someone who can move through your entire system — from where your data originates, through every transformation it undergoes, to the reports and visuals displaying the number your client is looking at.

/ 01

The Data Coming In

Vendor systems update without notice. File formats change. Data arrives differently than your system expects. These failures can go undetected and remain invisible until a client catches them.

/ 02

The Logic Built On Top

Calculations that work in controlled conditions can break under real-world combinations of data, filters, and date ranges. The discrepancy that surfaced in that client meeting has usually existed longer than anyone realized.

/ 03

The Structure Beneath

Architecture decisions made during the build determine whether a reporting system stays accurate as data volume, client requirements, and business complexity grow. Structural problems don't announce themselves early.

02OPERATOR|WHO
Founder portrait

23 years inside the data that international trade runs on

In 2003, I built the first client-facing data portal for a Top 20 U.S. Customs broker. Clients had no real-time visibility of their shipment data. My system changed that, pulling live data from their customs software and making it accessible 24/7.

Over two decades, I expanded the platform into a comprehensive operation: U.S. and Canadian Customs tracking, commercial invoice and ISF filing, financial details, document access, custom reports, and most recently a full Power BI Embedded implementation. I built the complete data infrastructure and the validation logic that keeps client-facing data accurate when source systems update, regulations shift, or a vendor changes something without notice.

In Customs, wrong data has consequences beyond a client complaint: Regulatory exposure, goods held at the border, financial penalties, and fractured relationships that took years to build. That environment is where I've worked for over two decades.

03QUALIFY|FIT

Clients I Work With

You provide reporting to your clients where the accuracy of that reporting can make or break your client relationships, and you're currently dealing with one of these issues:

  • 01 A client has questioned your numbers and you weren't immediately certain who was right.
  • 02 Your reporting was built by someone who's no longer there, and no single person fully understands how it works.
  • 03 Your data comes from multiple systems and keeping it consistent doesn't have a clear owner.
  • 04 You need to build client-facing reporting correctly, from the start, by someone who understands international trade data before touching Power BI.
04EVIDENCE|RECORD
Case Study

A Reporting Failure Put a $360,000 Client Relationship at Risk

Problem

A Fortune 500 importer raised the issue with their customs brokerage that the reports they were receiving didn't match their internal records. The discrepancy had been building for weeks. Their contract was up for renewal.

The system appeared to be running normally, but the failure was in a processing layer pulled from a vendor's system. Wrong numbers had been reaching client-facing reports cleanly, with no visible indication anything was broken.

Solution

I built a Power BI solution to cross-check vendor's calculations and identify all errors, then rewrote the affected logic, built in automated validation to catch similar failures before they surface to clients, and audited the rest of the pipeline for the same exposure.

$0
Annual Revenue Added
Multi-Year
Contract Secured

The client started receiving accurate reports and signed the contract renewal.

05METHOD|HOW

How To Work With Me

1

Every engagement begins with a conversation. Not a questionnaire. Not a proposal call. A real conversation about your situation, your data environment, what you need your reporting to do, and where it's currently failing. We'll both know whether it makes sense to continue.

2

If it does, the next step is a structured assessment of your complete reporting environment: Sources, processing, architecture, and output. The deliverable is a written document with specific findings, root causes, and a prioritized plan. It is yours regardless of what you decide next. This is a paid engagement, scoped to the complexity of your environment.

3

Implementation — whether fixing, rebuilding, or building from scratch — is defined clearly before work begins. I work with a small number of clients at any one time.

Begin the conversation A focused session about your reporting. No cost. No obligation
06QUERY|FAQ

Frequently Asked Questions

Most Power BI consultants work from the reporting layer down. My background is in building and maintaining complete data infrastructures, from source systems through processing and warehousing through reporting, in an environment where errors carry compliance and client-relationship consequences. Those are different scopes of work.
Most companies have underlying data problems that prevent them from being able to rely on their reports to make critical business decisions. These data problems manifest as symptoms: Missing data, numbers that don't look quite right, and report refreshes that fail. If you've ever experienced one of these issues, you have data problems.
A conversation. If there's a fit, an assessment. If you want to move forward, a clearly scoped engagement. Every stage is defined before it begins.
Project length depends on the number of your systems, the complexity of your existing integrations, and the current quality of your data. Typical engagements last from 3 weeks to 3 months.
07BEGIN|END

Get reporting your clients never question

True confidence in your reporting means having clients who renew without friction, refer without being asked, and never need to pick up the phone to challenge a number.

Begin the conversation A focused session about your reporting. No cost. No obligation