![]() ![]() To create a real-time SQL dashboard, you need to use a BI tool that can fetch live data from your relational database. Next, you need a way to visualize your results. If you use Chartio, you don’t need to know SQL to fetch data, just use our Visual SQL, which allows you to query data without code. A number of tools can help you do this, such as database management systems (DBMS) like MySQL or business intelligence (BI) tools like Chartio. Once you have your data in one place, you need the ability to fetch the data you need using SQL. If you want to see the relationship between these two tables, you can use TrackID to do so. The “Albums” table contains a column for TrackIDs and so does the “Track” track table. In our SQL tutorial, we use the example of TrackID as one of the values that exists in multiple tables. “Relational” means that the data is related to each other, which means the values in one table also exist in another. To create a real-time SQL dashboard, you need some groundwork in place, including a relational database, the ability to fetch data, and a way to visualize it.Ī relational database is where you will pull your data from. What You Need to Create a Real-Time SQL Dashboard This allows the Partner Success team to be proactive and work to create more positive experiences, ensuring repeat business.Ĭreating an SQL dashboard is possible for any business (yes, yours too), and it’s not as difficult as you may think to get started. This live feed shows the status of the orders and important details and, in particular, highlights when an order is delayed or canceled. For instance, Toronto-based startup Platterz created a dashboard they named Order Tracker, which is a “live feed of order data that Partner Success team uses daily.” Ultimately, a good SQL dashboard will empower anyone who sees it to make data-informed decisions that have a direct impact on the bottom line. These snapshots serve as an integral part of business intelligence systems, pulling from real-time data to visualize trends and make insights easy to identify. ![]() When you create a SQL dashboard, you get a snapshot into the health of your business.
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