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By automating the data ingestion process, we significantly reduce the risk of human errors that can occur during manual data entry. This ensures that the data you work with is accurate from the start.
Our platform is designed to handle increasing volumes of data effortlessly. Automation allows your data operations to scale without additional manual intervention, supporting growth and complexity in your data environment.
Initially, all data is ingested in its raw form. We then use a comprehensive set of mapping rules to transform your raw data into a predefined structure. This process covers aspects such as product, campaign, campaign type and channel data.
After mapping, the data undergoes a final review to ensure correctness and validity. This step is crucial to guarantee that the data you rely on is accurate and consistent for modelling.
The Data Overview dashboard acts as a centralised hub where you can monitor and manage all your raw data in one place. This includes KPI data, media data and other business-impacting data such as pricing, weather and competitor spend.
Each media channel, online and offline, has its own dedicated section within the dashboard. These sections display detailed information about the ingested data, including mapped data and feature progress bars to indicate the status of data uploads.
Data owners or channel specialists can perform quick sanity checks to validate the data with each update. This involves checking if the data appears accurate and aligns with other systems.
If any issues are identified, such as missing media accounts or discrepancies, users can promptly report these. Our team will address these issues before proceeding with the data update process, ensuring continuous data integrity.
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