It is data that powers our products. If you're using Experian hosted services, data management is done for you. If you're using Experian on premise products, such as Pro, Pro Web or Batch, you will need to ensure that your data is kept up to date.
Experian’s on premise products use datasets that are 'timestamped' to expire after a fixed amount of time, ensuring that the data is never out of date. To keep the reference data current, Experian carry out data expiry and update processes throughout the year.
If your data has expired and you haven’t updated the data you use, it may appear that your Experian product has stopped working.
You will need to perform a data update using the latest available data.
What is data vintage?
Data vintage is the release date of a particular dataset.
Additional datasets and DataPlus sets can only be used in conjunction with the related core datasets when they are of the same vintage. For example, if you are licensed to use GBR Address data and GBN Names data, these must be of the same vintage to work.
You must activate all related additional datasets at the same time as the core dataset, otherwise this may render your Experian applications unusable.
Test addresses and data expiry dates
Test addresses are used to confirm whether or not a data update has been successfully carried out. They are unique to the vintage and type of dataset installed, and help to visually confirm a successful data update.
Performing regular data updates is an integral part of an effective data quality strategy for any organisation. Experian datasets are shipped to customers at different times of the year, and in differing cycles. To help customers effectively plan their data updates Experian provide a shipping schedule for all data sets, listing current and future shipping dates.
Experian Data Quality DataPlus sets are shipped at the same time as the country data set they belong to. They are also typically found on the same media. For example, the GBR Health DataPlus set is shipped with quarterly GBR address data.