Deduplication and matching
Fuzzy matching across sources that never quite agree on how a name is spelled.
United States · Miami · Data cleaning
Cross-border trade data arrives in inconsistent units, currencies and date formats, often from counterparties you cannot dictate terms to. The cleaning has to be repeatable because next month's files will be just as inconsistent.
Abhishek
Abhishek Singh
Akhilesh
Prahalad
ShaktiA remote team of Excel and spreadsheet specialists. You work directly with the person building your file, from the first question to the final handover. More about us.
A typical job here
Budget 10–20 hours as a starting point. If what you send turns out larger, you hear about it during scoping rather than at the end.
| Build a repeatable pipeline for multi-source trade and freight data | 10–20 hours |
|---|
Why Miami specifically
Clients for this are typically in Brickell, Doral, Wynwood and Coral Gables, across trade and logistics across Latin America, private real estate and construction, hospitality, import-export, and a growing cluster of finance and crypto firms. Multi-currency trade, property portfolios and hospitality reporting across borders.
For the wider picture of what we see in this market — the recurring problems, the source systems, how the time difference plays out — the Miami guide covers it properly rather than repeating it on every service page.
10–20 hours is typical here. You get a number in writing before we start.
Unlocked files, documentation, recorded handover.
Full guide
This page covers one service. The city guide covers the whole picture, including the problems we see most in this market.
Excel experts in MiamiScope
Two of the things this covers most often for Miami clients. The data cleaning page sets out the full scope and method.
Fuzzy matching across sources that never quite agree on how a name is spelled.
Pivots, statistical summaries and the analysis that answers the question you actually asked.
The records that could not be resolved automatically, listed rather than quietly dropped.
What counts as a duplicate, what happens to a blank, how a bad date is handled — written down and agreed.
Need to check a feature before hiring? Read Microsoft’s official Excel help and learning for formulas, PivotTables, importing data and troubleshooting.
Questions
Answers for this service in this market, including the ones that might cost us the job.
Ask us something elseNot much — assume they never will. We build the import layer to absorb what they actually send and report what it could not parse, rather than depending on cooperation you are unlikely to get.
That is the point. Power Query steps are visible and rerunnable, and we document the process. If you would rather we run it each cycle we can, but you should not need us to.
Explicitly. Pick a rate source, record the rate and the date used in the file, decide whether you are translating at closing or average rate, and document it. Most of the multi-currency workbooks we review get the arithmetic right and the traceability wrong.
Related
Most projects touch more than one of these. We scope them together rather than selling them separately.
Same service elsewhere
Start with the problem
Send the workbook or describe the problem. An hours estimate back within a day, at no cost and no obligation.
Post your project