Data Dashboard is an analysis tool that allows users to see the key performance indicators (KPIs) and detailed data for the analysis purposes. It can take data from different data sources (databases) like MS SQL, Oracle or even OLAP (online analytical processing) cubes. It allows users to see all the data in the same manner. The application has an ACL-based security to prevent unauthorized users to see any sensitive data. Data Dashboard has a possibility to store all the needed data from different data sources in cache so it would shorten the loading time for the big amounts of data.
Data Dashboard allows users to see the KPIs as KPI values itself; colored indicators where the color depends on whether current value meets the KPI goal; gauges or even history chart.
The detailed information can be presented as a table, chart, map (data is grouped by geographic location) or calendar (data is grouped by date). Most of the data visualization types can be combined in dashboards.
Current version of Data Dashboard is based on three-tier client-server architecture in which the user interface, business logic, data access and data storage are developed and maintained as independent modules. Apart from the usual advantages of modular software with well-defined interfaces, the three-tier architecture is intended to allow any of the three tiers to be upgraded or replaced independently in response to changes in requirements or technology.
Data Dashboard is sliced into several independent modules. Managed Extensibility Framework (MEF) is responsible for these modules loading. And IoC/DI container Autofac is responsible for these modules components registering.