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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.

Data Fields

Airline Code

Arrival City Code

Passenger Name

Published Fare

Validation Formats

Match TravCom Data - Ensure that invoice data captured matches system data, i.e. Client Department, valid City Code etc.

Chain Code

City Code

Purchase Order

Record Locator

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

Commission Amount


Reference Fare

Return Date

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

Routing Code

Exact Match

Exception Code

Selling Fare

Free Field (any)

Group Code

GSA Number

Item Type

Low Fare



Ticket Number

Tour Code

Transaction Code

Travel Date

Validating Carrier

Match Character Rules

By Product Code

By Vendor

and more...

Other Features
Reporting that highlights the whowhat 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

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Register interest

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

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