Explain the Key Features of Dundas BI?

Following are the Key Features and Benefits of Dundas BI
  • Self-Serve Business Intelligence: Dundas BI gives you the ability to create your own reports, run ad-hoc queries, and perform data analysis, all without having to involve your organization's technical or IT staff. From the interactive designer screen in Dundas BI, you can easily explore available data sources and use intuitive operations to arrange dashboard, report, or scorecard views of your data. For further analysis, you can apply formulas to data using a familiar scripting interface. Smart defaults and automatic data preparation are used throughout Dundas BI to provide a streamlined workflow, which means there are a lot fewer steps needed to progress from your data to desired visuals.
  • Full API Support: Right from the start, we focused our development of Dundas BI on extensibility and integration. Every capability you see visually in the user interface of Dundas BI is powered by underlying APIs which you have access to as well. Dundas BI conveniently offers .NET, REST, and JavaScript APIs. Depending on the type of extension, integration, or embedding you require, a combination of these public APIs may be used. In particular, our REST API makes it possible to access available functionality regardless of the programming language, platform, or operating system you are using.
  • HTML5, Mobile & Touch: The client-side of the Dundas BI platform is based entirely on the latest web standards including HTML5, JavaScript, and CSS. There is no requirement for Silverlight or other browser plug-ins. This means Dundas BI works and looks the same on a desktop as it does on a mobile device such as a tablet or smartphone. The user interface of Dundas BI fully supports touch-based gestures so you can even design dashboards and reports directly on an iPad. All you need is a standards-compliant browser for your specific client device.
  • Data Visualizations: Dundas BI provides an array of data visualization types you can use to compose your dashboard and report views. Our JavaScript-based data controls including charts, maps, tables, gauges and more, have all been designed with performance and support for ad-hoc analysis in mind. We've also programmed our data controls with default styles and behavior that conform to established best practices in data visualization.
  • ETL Layer & In-Memory Analytics: Extract-Transform-Load (ETL) capability is built directly into Dundas BI via our data cube layer. Simply add transform nodes to a data cube and connect them together to perform data cleansing or join tables sourced from different databases. The output of a data cube can be cached to our internal data warehouse for improved performance. Or, you can build an in-memory analytical model of your data to enable even faster results for analytical queries.
  • Administration & Configuration: Dundas BI provides a flexible data security model which includes support for multi-tenant / SaaS deployment. For scalability, load balancing is supported through the use of application and data processing server groups. Application configuration can also be performed in Dundas BI without having to log in directly on the server, making it easier to administer the system and perform tasks such as changing configuration settings or adding a new license.



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