2 in 5
job items pinned on the map in the wrong country.
The addresses said London. The map said London, Ohio.
Check your data before you bet on it.
Decisions get made on numbers nobody has checked. DataIkenga reads a company’s data directly, finds where it is wrong or misleading, and says what that means for the decision in front of you.
Reads Salesforce directly: see the Salesforce check. Other CRMs, warehouses and spreadsheets on request.
8 yearstesting data for a living
3 industriesclinical trials, fintech, sport
Millionsof records a day, checked
257,000appointments in one review
When it matters
The moments a business is about to trust its numbers more than usual.
Moving systems
Before the data is moved, and after, so nothing is lost or changed on the way.
Buying or selling
Data due diligence: what the records actually show, before a price rests on them.
Rolling out AI
An AI tool is only as good as the data it reads. Find out what it would be reading.
Scaling fast
Small errors in a process get copied with every new client. Find them while they are cheap.
What a check finds
Four findings from one field service company
Every record was complete, so nothing in the system flagged any of them. Each took testing the records against the system’s own rules.
1,999
of the last 2,000 visits due exactly seven days after they could start.
A default, read everywhere as a deadline.
129%
of the data storage the company pays for, in use.
More than it pays for. The rest has to be bought or cleared.
50,752
cancelled jobs whose reason is not on the list.
Loaded years ago, and never tidied since.
See the whole thing
A full sample census, for an invented org.
See one first
What you get, for an invented company
Ashgrove Facilities doesn’t exist. Its census is drawn by the same tool and layout a client receives, from figures modelled on real orgs.
The censusEight pages of measured fact: what the org costs, what stands in the way of change, and where its rules and records disagree.Open the PDF →
The one-page summaryWritten by a person, for the decision in front of you: what changes the size of the job, what’s fine, and three questions.Open the PDF →
How it works
1. A 30-minute call
What you’re about to decide, and whether checking the data first is worth it. Sometimes the honest answer is no.
2. A read-only login
Your administrator creates one user. It can read, and can’t change anything. About ten minutes.
3. Findings in a week
The census, a one-page summary, and a walkthrough of what it means for your decision. Then the login is switched off.
Case studies
What went wrong elsewhere, and what a check would have shown
Public failures, read the way a data check would read them.
Your AI will believe whatever your data says
A platform fault, bad data from one customer, and about $110 million less revenue.
Nobody told them it had to be right
75,000 products, typed in on a deadline, about 30% accurate.
The rows that were never counted
16,000 positive tests missing from the daily figures for eight days.
Have a decision coming up?
Book a short call. Tell us what you’re about to decide and what data it rests on, and we’ll tell you honestly whether it’s worth checking.
Book a callOr email nicholas.ofonagoro@dataikenga.com