Who uses DataCleaner?

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This page is a work-in-progress of collecting information about the people and companies that use DataCleaner. Bear in mind that we have just recently started collecting these user testaments so the list is rather humble at the moment :)

If you're using DataCleaner and would like to tell us about it, please send in your user stories to kasper (at) eobjects.dk!

FAP Europe

FAP Europe is the UK’s leading profit protection business. Michael Womersley-Carter, Data Analyst from FAP Europe says:

"Our industry relies on client specific data sets that present themselves in multiple formats.
These formats often vary from year to year, with and without warning. DataCleaner allows us
to accurately predict the impact of these changes and manage new data sets accordingly.

Without DataCleaner, our only way of determining data validity would be after a transformation
script is written and data is uploaded. The data may be erroneous and therefore redundant;
a costly way to validate the data.

DataCleaner allows us to analyse the data and pass a validation mark against it before embarking
on an invalid transformation process.

The collaborative participation aspect of DataCleaner brings together a vast array of ideas and
offers us new ways of using the software.

As part of the DataCleaner development, we can work on improvements at our own pace. We can
work on an idea and test it locally before submitting it as an improvement or fix."

Ben Bor

Ben Bor is an Information Architect, currently working for the New Zealand government. Before moving to New Zealand Ben was a senior consultant with Cap Gemini, Acuma and Logica. Ben says:

As an Information Architect I often implement solutions that integrate data from several sources,
internal and external. This could be a data warehouse, a reporting system or any other large
information integration programme. Without exception, the biggest problem in each of these
programmes is Data Quality. Without it, the business can not rely on the information the system
is supplying. I always insist on ensuring Data Quality in any project I am involved in.
Open-source data profiling is a huge help, in that I can install and run a profiler in a day
(compared to the weeks it would take to evaluate, agree, purchase and install a ‘commercial’ product).
This gives me the ability to profile everything before it hits the integrated data store (or
data warehouse).

I have evaluated several open-source data profiling solutions and find DataCleaner to be the best.
It provides me with an easy way to run most of the profiling tasks that I need. The project team is
very responsive: they have implemented several of my suggestions in a very short time, thus making
the product even more suitable to my needs. I currently use DataCleaner for each and every project
I am involved in.