Business analytics dashboards can be implemented not only with specialized BI tools, but also using databases and programming languages. This approach, although requiring the involvement of programmers, opens up more opportunities for flexibility, customization to specific requirements, and automation of complex processes.
Direct use of databases and programming to create dashboards provides a number of advantages:
Programmers can create reports that are fully tailored to specific business requirements, with greater flexibility in data visualization and processing.
Programming languages and databases can effectively handle large volumes of data that are sometimes difficult to process with standard BI tools.
Allows you to automate data extraction, processing and updating monitoring denmark email list panels in real time or at specified intervals.
Developers can integrate data from a variety of different sources, including databases, external APIs, cloud services, and other platforms.
You are not tied to the interface and capabilities of a specific BI tool. Using code, you can create any dashboard elements and use any visualizations.
Custom or in-house implementation of dashboards may be justified in the following cases:
When data comes from multiple sources and requires complex processing before visualization.
If standard BI tools cannot provide the required flexibility and customization.
When you need to set up complex automatic collection and updating of data in a report.
If a business needs complex and interactive dashboards that require constant data updates and providing interactive capabilities to users.
If a business has very strict or specific requirements for restricting access to data.
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