History History

Data Discoveries was founded in 1995 on the premise that databases are the bedrock of any modern business.

Databases are used to drive processes including sending an invoice recording what customers have bought and collecting debts. The problem is that databases are static but people aren't. Therefore databases get out of date - frequently.

So everything a modern database driven organisation does is based on errors.

The solution to this endemic problem is to identify where data is out of date and do something about it in a fully integrated, easy to use manor.

Data Discoveries was set up to do 2 things.

  1. Build a database of the entire UK and constantly update it.
  2. Deliver this database within business solutions using software tools

There were systems at the time that would validate addresses from the Royal Mail Postcode Address File (PAF). While this was essential to ensure good address accuracy, PAF on its own does not provide the solution. The fundamental issue was that "houses don't buy things, people do". 

Our first product, Verify, was launched 5 months after the company was formed at the Direct Marketing Fair. This system now enables clients to enter a name and address in just 7 key strokes by entering a postcode and selecting the name from the available list of occupiers on National Canvasse.

The company has grown out of all recognition from these early days. We have won many awards for our financial growth and product innovation and have an enviable client list. Our renewal rate exceeds 95% year on year. We believe this is as a result of the focus we place on ensuring our products and service exceed customer expectations.

Now 12 years old, the company has developed a huge range of software tools with over 1,700 data variables about people, cars and businesses. The technology used to deploy our solutions has gone through many iterations and the volume of data now exceeds terabytes. However the fundamental principles of the business remain the same:

You can have the best systems, customer offers, workflow, call centre, tracing agents, credit control and technology available, but if you put bad data in, you'll get bad results out.