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Identifying Ad Errors With Datazoom is Easy
How Datazoom Can Improve Ad Error Detection
Datazoom has two built-in features which can improve your ad error detection. Whether your operations engineers need ad error data quickly, to resolve the problem and stop the errors before more revenue is lost, or they need to standardize data about errors across multiple sources, these two features can ensure you are able to stem the tide of ad errors.
Two Features To Improve Ad Error Detection
Real-Time Delivery and Standardization
Stopping ad errors quickly, before they can have a significant impact on impressions, requires the right data delivered in real-time. But when collecting ad error information from multiple sources, having variable naming inconsistencies can add post-processing time, to relate the variables together, that your operations team doesn’t have. Datazoom’s Real-Time Delivery and Standardization features ensure you have consistent ad-error data as quickly as you need it.
Delivering Data Now
The difference between getting monitoring data every four seconds and every sixty seconds is like between blinking and keeping your eyes closed for 10 seconds. The amount of visual information that’s missed when your eyes are closed is almost incomprehensible. When trying to find ad errors, there can’t be any gaps in the data. You need to see what’s happening in real-time to track down and resolve the issues. Datazoom provides you the ability to configure any data source to be delivered in real-time.
Ensuring Data Consistency
When multiple data sources are part of a larger set, data consistency is critical. For example, if each data source in the set specifies a certain variable with a different name, it can be very difficult to create the relationships necessary for identifying bigger issues such as where ad errors are originating and what systems are contributing to them. But, Datazoom automatically standardizes datapoints by mapping them to the CDN Data and Video Player Data Dictionaries so that you can have a consistent data set from which to draw insight about ad errors.
Well Accepted And Documented Methods
Using Proven Technology
- Data is in name/value pair
- Data is separated by commas
- Curly braces hold objects
- Square brackets hold arrays