DataOasis is the Data Quality Operating System. Drop in a spreadsheet and it tells you exactly what is wrong — duplicates, broken formats, missing values — then fixes it with suggestions that cite the rows proving the problem. Unlike asking an AI, it gives the same answer every time, refuses a broken load, and tells you the morning a feed breaks.
Trusted by teams who cannot afford to be wrong
Financial services
Policyholder and intermediary data
Insurance
Claims and broker records
Retail & building supply
Product, supplier and branch data
Short-term insurance
Policy and payment reconciliation
Insurers, banks and retailers all have the same problem in different clothes: the number in the report is only as good as the file it came from, and nobody can say who last touched that file. DataOasis was built to answer that question before it is asked.
ByteOasis Technologies · delivery across financial services, retail and government
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Phone numbers in six formats. The same supplier spelled five ways. Leading zeros eaten by Excel. Teams spend their week fixing data by hand — and then do it again next month, because nothing was recorded.
Analysts re-do the same find-and-replace every reporting cycle, by hand, with no record of what changed.
When a regulator asks who changed a value and why, the honest answer is usually "someone, in a spreadsheet, sometime".
Duplicate customers inflate counts. Broken dates skew trends. The number looks fine until someone acts on it.
A language model is a brilliant suggestion engine and a poor system of record. DataOasis keeps the suggestions and adds the four things an organisation actually pays for: determinism, memory, enforcement and proof.
Three runs, three formats. Nothing recorded, nothing repeatable, and no way to prove what it did to the other 1,274 rows.
Identical every time, because the run is a recorded recipe — replayable next month, on the next file, by someone else, with every change attributable.
Write a rule once — supplier codes match SUP#####, totals are numeric — and it is checked on every load. Set it to block and a broken upstream feed never becomes today's numbers.
Every monitored dataset is re-profiled on a schedule and compared to the version before it. Quality drops, row-count swings and failing rules become alerts that carry both numbers.
Card Transactions: unusual change in row count
Row count moved down 41.2% — from 2,510 to 1,476 rows.
Certification withdrawn
Removed automatically because 4 rules now fail.
Two systems that should agree, compared record by record — not sampled. Matched, missing on each side, and the exact rows where the amounts disagree. This cannot be done in a context window.
Spellings collapse to one entity, and that entity keeps its reference through every future refresh — because it is looked up by canonical form, not by asking a model again.
Re-run on next month's file: 6 matched, 0 created
Pasting customer records into a public AI tool is not just risky — under POPIA and GDPR it is usually a breach. DataOasis runs on your infrastructure, or ours in your region, or entirely air-gapped. The data stays where your compliance officer expects it to be.
Excel, CSV, JSON and more. Everything lands as text on purpose, so leading zeros, account numbers and IDs survive the trip.
Completeness, uniqueness, formats, duplicates, blank rows and semantic types measured in a single pass — before you touch anything.
"1,080 numbers use mixed local formats." Every suggestion names the problem, counts the rows and shows its confidence. You approve.
Trim, split, merge, standardise phones and dates, clean numbers, fill blanks, deduplicate — across text, columns, types, rows and quality.
Every change becomes a step you can mute, delete, reorder or replay on next month’s file. Undo goes back forever.
Roles, organisation-scoped data, and an activity trail that answers who changed what, when — without anyone maintaining a change log.
Drag an Excel or CSV file onto the page. DataOasis reads it exactly as it is — nothing is silently converted.
Within seconds you get a quality score, per-column health bars, and a ranked list of issues with the row counts behind them.
Apply suggestions one by one or all at once. Watch the score climb. Mute a step to see what it did. Undo anything.
Export to Excel, CSV, JSON or Parquet, or save a clean copy. Next month, replay the same recipe on the new file.
KYC remediation, customer deduplication, regulatory reporting extracts
Registry clean-up, census and permit data, inter-departmental migrations
Patient record matching, clinical registers, medical aid reconciliation
Subscriber hygiene, call record normalisation, revenue assurance
Product and supplier master data, loyalty lists, pricing files
Address standardisation, consignment records, fleet and driver data
Student registries, survey data, publication-ready datasets
Customer lists, invoices and stock files that outgrew the spreadsheet
An LLM will clean your file differently every time you ask.DataOasis produces the same result every time, records why, and does it again next month without being asked.
ByteOasis is a Namibian technology company building world-class digital products for African businesses. Our team has delivered national payment platforms, government e-services, airline instalment finance for the Emirates Group, and compliance systems for clients in the United Kingdom.
DataOasis grew out of the same work. On every large project we found the same thing: the hardest part was never the software — it was the state of the data going into it. So we built the tool we kept wishing existed, and made it accessible to organisations that global vendors price out of the market.
Most data tools were designed for companies with a data team. We designed DataOasis for the analyst who was handed a spreadsheet and a deadline — and then made it strong enough for the bank behind them.
Monthly licence in Namibian Dollars. No implementation fee, no seat minimums, cancel with 30 days’ notice.
For a small team with spreadsheets to tame.
For teams that need connections and automation.
For organisations with governance requirements.
Enterprise, government and on-premises deployments are quoted individually — including air-gapped installations.
Send us a note and we will run a demo against a real extract of yours. Most sessions take thirty minutes, and you keep the cleaned file either way.