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An import model shows old figures until someone updates it. Scheduled updates do this automatically—once the prerequisites are in place.
The model must be able to log in to the source on its own. Use an account that is not tied to a single person—updates that stop because someone left are a classic.
A daily update on weeknights meets most needs. More frequent updates consume capacity and place additional load on the source system, and should be justified by someone actually acting on more up-to-date figures.
Heavy updates in the middle of the day affect both the report and the source system. Schedule them for early in the morning so the figures are ready when people arrive.
Without alerts, you will not discover that something is wrong until a manager asks why the figures have not changed in a week. Send the alert to a shared inbox, not to one person.
Display the time of the latest update prominently in the report. It is the simplest way to build trust and puts an end to questions about whether the figures are up to date.
Updates that work on the first day may fail as the amount of data grows or a source changes. Check the history a couple of times during the first month.
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Published 11/13/2024
A data platform is a system that collects and structures data from various sources to provide comprehensive insights and support analysis and decision-making. Think of it as a centralized data repository where information from different systems can be collected, processed, and utilized. This makes it easier for organizations to gain a complete picture of their operations and make decisions based on actual data.
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