Someleze Diko shows off a powerful feature in Microsoft Fabric:
Driving actions from real-time organizational data is important for making informed data-driven decisions and improving overall efficiency. By leveraging data effectively, organizations can gain insights into customer behaviour, operational performance, and market trends, enabling them to respond promptly to emerging issues and opportunities.
Setting alerts on KQL queries can significantly enhance this proactive approach, especially in scenarios such as customer support. For instance, by monitoring key metrics like response times, ticket volumes, and satisfaction scores, support teams can identify patterns and anomalies that may indicate underlying problems.
This helps drive home an important mental shift around “real-time intelligence.” Ignoring my standard disdain for misuse of the term “real-time,” most people will ignore the feature because of a perfectly reasonable belief: my data doesn’t come in that frequently, so I don’t really need to process it in near-real-time. But the real-time intelligence functionality isn’t necessarily just about loading in your data and making it available to users faster. Instead, think of it as acting immediately when your data does change, especially if you have multiple sources of data loading at different times during the day.