Addressing Data Discrepancies in Bear IQ
This article guides you through the process of handling discrepancies between Bear IQ's reported data and your internal systems or vendor data. Timely identification and resolution of these discrepancies are essential to maintaining data integrity and ensuring accurate event analysis. By following these steps, you can effectively communicate with the Bear IQ Customer Success Team and expedite a resolution.
Tip: Provide as much detail as possible in your initial report to facilitate a quick and efficient investigation by the Bear IQ team.
Key Moments to look out for:
Initiating a discrepancy report via live chat
Completing the alignment form thoroughly
Attaching supporting documentation
Heads up: Gather all necessary information, including any supporting documents, before initiating the discrepancy report for a streamlined resolution process.
Step-by-Step Instructions:
Contact the Bear IQ Customer Success Team:
Use the live chat feature at the bottom right corner of the interface to report any discrepancies between Bear IQ data and your internal records. Clearly describe the nature of the discrepancy and any suspected causes.
Complete the Alignment Form:
When prompted, fill out the alignment form provided by the Bear IQ team, ensuring all fields are completed with relevant information such as current registrant expectation, revenue expectation, and corresponding timestamps.
Attach Supporting Documentation:
Include all necessary attachments, such as attendee lists, screenshots, or internal reports, that illustrate the differences between Bear IQ data and your records.
Submit the Alignment Form:
After providing comprehensive details and attaching supporting documents, submit the form to initiate Bear IQ's investigation process.
Monitor Feedback and Updates:
Stay attentive to communications from the Bear IQ Customer Success Team as they work to reconcile the discrepancies and provide you with an updated analysis.
Engaging proactively with the Bear IQ Customer Success Team and providing detailed information facilitates the efficient resolution of data discrepancies, helping ensure accurate and consistent event analytics.