


Create an unlimited number of data check rules. see variable list below



Be specific -> define data checks by product type and/or vendor



Numerous validation scopes, i.e. define exact data checks, variable data checks or even match back-office data



Analytics to better understand which data errors occur frequently and by which agent



Customised user setup to ensure admin staff only manage client bookings they are responsible for



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.
Airline Code
Arrival City Code
Passenger Name
Published Fare
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
Department
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
Mileage
Source
Ticket Number
Tour Code
Transaction Code
Travel Date
Validating Carrier
Match Character Rules -
By Product Code -
By Vendor -
and more...
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
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Most frequent data errors (daily, weekly, monthly & quarterly)
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Review of data errors by booking agent
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List of client specific data errors
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Review of data errors by booking platform
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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