The best way to learn more about how our solutions can help is to let us know more about your data challenge.
DQ for Excel™ provides a suite of Data Quality Improvement Tools within the familiar Microsoft Excel environment. Our no code product can be easily downloaded from the Excel add-in store and you can begin to Validate Data In Minutes!
Go further than just Excel data validation
Enrich your customers information, and authenticate emails and phone numbers in real time! Process hundreds of thousands of records at once and only pay for your usage on a pay-as-you-go basis.
KYC within Excel
Through our partnership with Experian you can achieve AML compliance by surfacing KYC data insights within Excel spreadsheets.
With DQ for Excel™ you can ensure the data within your Excel spreadsheets is accurate and correctly formatted with data validation in Excel. High quality data at point of entry will save you time and improve customer satisfaction.
Check the syntactical validity of Phone Numbers, Email Addresses, I.P. Address, URL’s and more… e.g. A telephone containing 3 digits is not Valid, nor is an email without an ‘@’ symbol
Cross reference third party data to enrich your database for marketing, sales, or compliance purposes. Add contact or company data to existing datasets and ensure you maintain a complete and accurate database
Compliance allows you to access Experian's powerful FinCrime data on excel. Acquire new data and enrich the customer data within
Truly confirm if a piece of data, record or entity is Authentic. e.g. Will an email truly deliver to an inbox or telephone number dial
Using our vast metaverse of data transformations, users can leverage this DQ function to format worldwide telephone numbers, email addresses, I.P. address, URL’s
Transform data (Abbreviate, Elaborate, Exclude or Normalize) in 5 spoken languages. Choose from 11 different transformation libraries including: Business, Countries, First Names and Addressing… e.g. Abbreviate country transform (United Kingdom to UK)
The DQ Compare function gives users the ability to analyse if records are legitimate matches, essential when bulk processing duplicate records. Score the similarity between records and choose from multiple comparison methods
Obtain information from a piece of data by analysing its structure, pattern, or values. e.g. derive a gender from a first name, country ISO code from a telephone number, or segment contacts by job roles
Manipulate data by splitting data into its constituent parts. Including: Email Addresses, I.P. Address and URL’s
Compare elements of a record to assess its congruence. Analyse two data field values to examine if they are aligned. For example, does a dialling code align with the country field or ISO code?
Match records against reference data, including: Addressing which covers 240 Countries, Location GeoCodes, Company Names and People living at an address
Discover whether people are deceased, gone away, or have expressed a preference not to be contacted