National Express were having trouble with misspellings and inconsistent structure when customers were inputting their information. Turning away from this manual way of doing things, they turned to Data8 for address lookup.
A rapidly growing database meant that AQA moved over to Microsoft Dynamics 365. With their previous CRM being so unreliable, data was stored in a variety of different places including personal spreadsheets. This mean they required a good data cleanse.
Defaqto realised that their outdated database was hindering them from improving their communications and marketing efforts. That’s when they sought out Data8 to utilise a bespoke process to amalgamate and cleanse their data.
Underperforming email marketing campaigns with high bounce rates left Elemis in search for a cost effective, simple way to clean their data. After turning to Data8, they learned 6.73% of their database was made up of invalid email addresses.
Paragon integrated Dotmailer and Salesforce to use Dotmailer’s marketing automation tool and segment more effectively within Salesforce. Prior to migrating their data, they wanted to complete a data cleansing exercise to ensure quality data was taken over.
Clarks previously had no address lookup service installed across their tills, meaning address input was a manual task for cashiers and presented a number of challenges which included their consistency and formatting of data.
Without a way to minimise invalid addresses, IOCEA’s product would not be up to standard in the competitive market. Upon their search across the market for a quality validation tool, IOCEA stumbled upon Data8 and were quick to integrate with their product.
Liquid Friday needed a bank validation service that could be rapidly deployed into their Salesforce CRM solution. With a security update surrounding Salesforce, Liquid Friday chose Data8 for it’s effective and secure service
To minimise errors and to improve the overall experience on the website, Active Background Checks wanted to give their online customers the ability to identify previous addresses even if they only had partial information such as street name or postcode.
With data coming in from a variety of different sources More Partnership were tasked with building a new CRM. Alongside this, they needed a tool that standardise the format of their address data.
