The gather360 KPI dashboard enables users to identify bottlenecks that are increasing your data preparation time and slowing down your data supply chain.
The data preparation metric includes a drill-down view of the status of your data uploads. Data uploads have three possible statuses:
Uploaded
This means a file has been uploaded but the user or supplier has not progressed to the mapping stage.
Mapped
This means a file has been uploaded and mapped, but the user or supplier has not completed the data preparation work and committed the data. This is often because the data contains errors that require resolution.
Committed
This is the final status of an upload. It means that the file has been successfully uploaded, mapped, validated and transformed and has been submitted to your data storage infrastructure.
If you see a consistent pattern of data uploads being held up at one of the above three stages, there are a series of activities within the gather360 product that you can do to help.
If users or suppliers are consistently abandoning the process at the upload stage, they may be experiencing issues with data mapping. To resolve this, you can work with them to easily create a saved data mapping that is customised to match the file format that they upload. This is typically a 5 - 10 minute job.
If the process is consistently being abandoned at the mapping stage, it is likely that your users or suppliers are experiencing data errors that they are struggling to resolve. This can be resolved in two ways:
Adding additional error descriptions
gather360 makes it easy to communicate with suppliers to explain data requirements in business-friendly language. When setting up your rules, users have the option to write a business-friendly description explaining each rule. These explanations will be shown in-product during the error correction process, or in a downloadable data template available within the dataset interface.
Changing the error status.
gather360 has two error configurations available - Critical and Warning. Critical errors prevent data from being submitted if data does not meet the required condition. Warnings will allow data to be submitted but will pass it to a workspace user for review before it is committed to storage.
If your uploads are often getting stuck at the mapping stage, you can look over your rules and consider de-prioritising any low-risk critical errors to warnings.