In the legal sector, an inaccurate address, email, phone number or wrong bank details can have serious consequences. Papers are not served within legally binding timeframes, conflicts of interest may not be identified, and witnesses cannot be contacted.
Stakeholder relations are of equal importance. Client confidence and a firm’s reputation are underpinned by the timely delivery of communication, made possible using accurate data.
We partner with law firms big and small helping them validate and cleanse their client contact data.
Name, Address, Phone, Email and Bank data can all be validated to help reduce invalid data being entered into your systems.
Existing data can also be cleansed to check if the data is valid, and where possible correct them.
There is potential for error in any human typing of bank account details. Client bank data has to find its way onto our systems, and we need to be sure that it is accurate before processes of authorisation, entry to accounting systems and fund transfers take place.
Financial Controller at Pannone
AFD software products which may interest you
Address validation saves time and money. It is the backbone of excellent service, customer retention, data analysis, prevention of duplicates, enhanced reputation and more profitable business performance.
Maintaining a clean, duplicate-free customer, supporter, student, member or prospect address database underpins the foundations of effective marketing, high-quality customer service and punctual delivery.
Email validation saves time and money. A simple mistake in typing an email address makes it impossible for an email to reach the right recipient. For a business or service-based organisation, this can be costly to both revenue and reputation.
Accurate phone and mobile data allows your organisation to maintain contact and relationships with customers. If the contact details in your contact database have errors, communications will fail.
Successful electronic payments require precise and accurate bank details. But people make mistakes when reading them, writing them down or keying them in. In some cases, delayed payment or fraudulent activity can occur by introducing deliberate errors.
Grouping | Dataset | Description | Demo |
---|---|---|---|
Demographics | Censation Code | Censation Code assigned to this Postcode. | Try It |
Demographics | Censation Label | Label for the Censation Code. | Try It |
Demographics | Affluence | Provides a description of affluence. | Try It |
Demographics | Lifestage | Provides a description of life stage. | Try It |
Demographics | Additional Census Info | Additional information from the Census. | Try It |
DX | DX Number | A DX Exchange number is the unique identifier used for a customer who is a member of the DX Document Exchange. | |
DX | DX Exchange | Provides the DX Exchange address for any member of DX Exchange. | |
DX | DX Organisation | Returns the Organisation name held on the DX Exchange for the organisation selected. | |
DX | DX Profession | This is an optional data field and requires a licence to return. | |
Property Characteristics | Multiple Residency Indicator | Indicates if an address is a multiple residency address, e.g., a flat within a building with a single delivery point. This is a single character – O for Multiple Residency Owner, M for Multiple Residency address. 1 where the flag is indicated, 0 where the flag is not valid. This is only available to Multiple Residency users. | Try It |
Property Characteristics | Not Yet Built | Identify and deliver services to the addresses of properties that are at the planning and construction stage. | Try It |
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