Best self service business intelligence tools: II

AquSag Technologies
App Indexing
Tags: Analytics, BI, data, reports, self service, service, tools
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1. Izenda:

Izenda is a self service embedded BI platform with self-service reports, dashboards, and visualizations. It helps to easily create reports, dashboards and visualizations without IT support. It also enables its users to unlock insights in real-time with interactive drill-downs. Moreover, it has provisions for scheduling and sharing reports and dashboards.

Izenda

2. Dundas BI:

Dundas BI is an efficacious enterprise-level, self-service, BI and analytics tool. It has the ability to deliver powerful dashboard, reporting and visual data analytics, enabling users access to all of their data for better decisions and faster insights. Moreover, this powerful BI tool allows you to easily connect, analyze, and visualize any data, on any device.

Dundas BI reviews

3. Alteryx:

Alteryx is yet another self service BI tool that provides strategic analytics and agile BI for companies making strategic business decisions using a variety of data sources. The tool’s drag and drop, intuitive features of the software allow predictive capabilities to be utilized by all users. The predictive tools offered by this tool can actually be custom-designed by the user, and coding can be imported to help with the design. Another notable capability is it’s simplicity of sharing insights where reporting and sharing of analytics are melded together. In other words, it provides a user-friendly workflow of data blending.

Alteryx

4. Datorama:

Datorama is a BI tool for advertisers and ad agencies which connects to many different marketing systems. With the help of this tool, custom data can be added and automatically updated via APIs or if its in excel via email.

Datorama

5. Jaspersoft:

Jaspersoft offers a flexible set of tools in order to enable better decisions through highly interactive, web-based reports and dashboards. The platform has the ability to run in the cloud or on-premises to meet the architectural and economic demands for large scale deployments.