The need to clean, maintain and suppress data should be recognised by all organisations as a fundamental part of Data Management (CDM). Treating data in this way helps to retain customers, enhance database analysis and improve business efficiency.Sup

The benefits at a glance:

  • Differentiate consumers with the same credit profiles to produce better segmentation
  • Use more granular insight at the beginning of the application process
  • A faster customer experience with quicker credit decisions reflecting their behaviour
  • Treat customers fairly and appropriately to reduce detriment and reward good credit behaviour
  • Monitor credit stability and adjust credit limits accordingly.
  • Access to bureau trends without the need to conduct your own analysis

Tell us about you and your company’s needs:

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With help from Experian’s tracing solutions, we were able to reduce our ‘goneaways’ back book and reunite more of our customers with funds owed to them. This solution helps us work towards our original purpose of helping people take responsibility for their future and achieve a lifetime of financial security. The communication with Experian throughout the project was fantastic and we’re pleased with the results.
Sarah Simpson, Aegon

Functionality that delivers your goals

A credit score is an effective way to view a snapshot of a consumer’s financial behaviour. But how did they get there? Is their score improving or has their payment behaviour changed recently? To really get a sense of your customer’s financial history and predict their future payment behaviour you need more information, covering more time and from more sources. That’s where we can help. Through the capabilities of Trended Data, we’re able to give you the rich information you need to gain valuable insight into your customers and make informed and fair decisions, even with your thin file consumers.

Product Specification

Free Demo

Yes, available.

Demo options

Live, Video


Cloud based

Data integrations

Custom Integration available

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Trended Data

How a move to trended data can support overstretched consumers – and your business.

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Data Suppression refers to the regular or ad-hoc removal of any unwanted records from a contact database. Unwanted records may include:

    Inaccurate data – possibly due to spelling mistakes or being out of date.
    Opt out data – contact data of those who have since signed up to an opt-out of communications list.

This is done by comparing data against a Data Suppression File where any differences between the two lists can be reconciled – cleaning your list and giving a more accurate view of your data.

Contact data decays every single day (moving house, deaths, and marriages for example) so cleaning and keeping it up to date is crucial for Data Owners if they want to keep their data lists and target mailings accurate and effective.

The benefits of using Data Suppression to keep your data clean include:

    Maintains a better relationship with customers and prospects – communications are always sent to the correct people and in the way they want it.
    Reduces waste – decreases the cost of undelivered communications being sent to inaccurate contact data.
    Enables intelligent decisions –improves your data confidence, helping you make intelligent business decisions every time.

Depending on the type of contact data you hold, there are a huge variety of potential datasets that may be useful to use for your Data Suppression activities but some common examples are:

    National Change of Address (NCOA) – an update of all changes of address in the UK either through moving house or change of house name.
    The Bereavement Register (TBR) – a list of all those who have recently deceased.
    Mailing/Telephone Preference Service – people who have registered to not receive any unsolicited emails or phone calls.