What we do · Fix my data

Bad data in, bad decisions out.

Your business runs on data about other businesses, where they operate, and the people who run them. We clean it, complete it and keep it current, so you can trust every decision you make on it.

Your data Gmaven Your data + ours One colour code, used across this page: what you bring, what we add, what you get back.
Your dataMessy, duplicated, incomplete, going stale.
GmavenWe clean, enrich and maintain it.
Your data + oursClean, complete, current, trustworthy.
Why this matters now

Junk in, junk out.

Every decision your business makes, and increasingly every answer an AI assistant gives your people, is only as good as the data underneath it. Put junk in, and you get junk out: the wrong customers targeted, bad calls made, opportunities missed.

Fixing enterprise data properly is harder than it looks, and most once-off, in-house attempts fall short. They do the easy, surface-level part, run out of road on the hard part, and leave you with data that looks clean but still lies to you.

The benefit

Hand it to specialists.

We are enterprise data specialists, focused on data about businesses, their locations (commercial properties), and their decision-makers. We have already made the investment, and the expensive mistakes, over two decades. So you get data you can trust without hiring a data team, buying tooling, or climbing a learning curve. Your problem, solved, and off your plate.

The part others skip

There are two kinds of data fix. The difference is everything.

Vertical: makes it look right

Vertical fixes work down a column: putting every phone number in the same format, removing duplicates, checking a number is real. This scales, it is the easy part, and it makes your data look right.

Horizontal: makes it actually right

Horizontal fixes work across a single record: does this phone number actually belong to this person, or is it a dummy, or their spouse's? That takes judgement, the other clues in the record, and reference data. It is slow, it is where the real value sits, and it is the part most providers and in-house projects skip.

We do both. Reference data is the trusted master set you check each record against to know the right answer, and in South Africa we hold the deepest set there is for commercial property and the businesses and people attached to it. That is what lets us do the horizontal fixes others cannot. And knowing which record needs which only comes with experience.

Image
Teaching visual: a grid of records with one arrow down a column (vertical) and one across a row (horizontal), plus the worked "does this number belong to this person" example. To be produced in the image phase; fully de-identified.
Why we can do it

Our secret sauce.

Five things, built over years of iteration.

Algorithms

Our own scale-friendly data flows and processes, founded on years of deep intellectual property.

Code and tooling

Mature, automated data processing, with technologies applied in ways others don't.

Reference-data mesh

Our own data woven together with public and private sources into one trusted layer.

People

Skilled specialists working to a clearly defined process, alongside the technology.

Horizontal interventions

We go beyond the surface-level work most others stop at.

What we actually do

Clean. Enrich. Maintain.

Clean

We find what is wrong and fix it. First we detect the errors and do the surface fixes: deduplicate, standardise and normalise, and correct obvious mistakes. Then we resolve what is left by replacing it with the correct data, which is where cleaning flows into enrichment.

Enrich

We make your records complete. We replace wrong data with correct data, fill the gaps in fields you already have, and add the new fields you always wanted.

Maintain

We keep it right going forward. We validate, clean and enrich each new record as it arrives, then keep the rest fresh on a schedule, so your data stays trustworthy instead of quietly going stale.

Boundaries

What we don't do.

We don't sell data software, and we don't replace your business-intelligence or systems teams. We clean, enrich and maintain your data, and that is all. If you would rather plug our data straight into your own systems, see Machine access.

Compliance, built in

Contacts, done compliantly.

When we work on the people who make the decisions, we use only public, lawful sources, and we tell you which outreach channels you may use without consent and which you may not. We are your data provider, not your marketer: the outreach stays yours, and we make sure the data under it is sound. This is built into how we work, not bolted on.

This describes how we build. It is not legal advice: confirm your own outreach design with your counsel.

Proof

We have done the biggest jobs in the market.

For about two decades, on some of the largest data jobs in the market:

We also hold South Africa's largest commercial-property database, more than 64,000 properties with the richest metadata (names, addresses, lettable area, category, extent, value, solar), and we run the country's largest business-to-business commercial-property marketplace. Our core data-processing methods were built on work recognised by an Industrial Development Corporation innovation grant. We are an RICS Technology Partner and sit on the SAPOA PropTech Committee.

Pricing

You pay for results.

Every data set is different, so we price each job to its size, its condition, and the fields you need. No off-the-shelf package, and no charge for work that doesn't land. We scope it with you first.

Start with a free check.

Send us up to 10 records. We will show you what is wrong and what we would fix, at no cost. It is a quick read to prove the point, not the full fix.