Automated Data Validation
Ensure your data is complete, consistent, accurate & valid
You can build custom data checks to ensure the data is clean, relevant and meets your clients specific internal protocols.
Create an unlimited number of data check rules. see variable list below
Analytics to better understand which data errors occur frequently and by which agent
Be specific -> define data checks by product type and/or vendor
Customised user setup to ensure admin staff only manage client bookings they are responsible for
Numerous validation scopes, i.e. define exact data checks, variable data checks or even match back-office data
Easy deployment - our support team can have you setup within the hour!
Validation rules that ensure data integrity
Whether you want to avoid invoice duplication, create simple data checks, or a solution to implement complex global data quality, Data Validator is here to help. We take your raw customer data & highlight data inaccuracies so the team can correct, ensuring clean customer reporting & invoicing.
Customisable Data check controls
Control exactly how your data should be captured.
Arrival City Code
Match TravCom Data - Ensure that invoice data captured matches system data, i.e. Client Department, valid City Code etc.
Specific Format - Define a specific format, i.e. AA-999-A-9. This can be very useful if you know that a client will be providing a reference in a consistent manner
Field Must Have - This allows users to validate a field and specify that it must have a particular character(s), i.e. you may capture booker email addresses You can setup a validation rule to ensure that '@' is captured.
Departure City Code
Exact Match -
Free Field (any)
Match Character Rules -
By Product Code -
By Vendor -
Reporting that highlights the who & what so that you can manage the why
Information on which data fields frequently error, along with details of agent specific errors providing your operations team with clear insights on where improvements can be made.
Data error reporting
Most frequent data errors (daily, weekly, monthly & quarterly)
Review of data errors by booking agent
List of client specific data errors
Review of data errors by booking platform
Monthly analysis to indicate whether operational improvements have been made
Maintain data integrity and have complete trust in your invoice data
Boost productivity by eliminating manual invoice data checking
Improve customer satisfaction through consistent and correct invoicing & reporting