This is a short introduction of the ReportView Data Analytics Application, a tour of the user interface and an overview of a few of it's key features. The vision for ReportView is to provide organizations with the ability to give all the users a unified front end to the organization's data as well as blazing fast performance in the daily business processes. This means using a single application for connecting, interacting with and visualizing any data on any device. 

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So rather than constantly switching between divergent systems which can each do a small part of the job, with ReportView, organizations will have one flexible platform unifying all their data from all data sources enabling users to retrieve, analyze, transform and report data with acumen and ease.

 

We are providing users with a self-service, single, uniform experience regardless of what kind of data is being shown and regradless of what kind of device is being used. Finally, we're providing a solution witch is easy to integrate, customize and operate so that ReportView can become part of your process rather than enforcing it's own process and allow users to get insights faster.

 

The application engine runs inside a microsoft IIS web server and is accessed through a web browser. The application engine also connects to a variety of databases including your own data sources and in-memory based data warehouses and finally, the application database, which stores meta-data such as user accounts, dashboard definitions and application configuration. ReportView was designed to understand human logic patterns and present information in a concise manner and to allow it's users to easily retrieve, analyze, transform and report data in a user-friendly way through intelligent dashboards and reports.

 

ReportView offers the concept of "Reports", where each user can create, customize, visualize and save their desired data analytics structure and results as well as the concept of "Subject Area" which can be used as a way to separate unrelated efforts from accross one or multiple departments inside the organization. For example, two different departments within your organization may want to work on separate projects and avoid clustering all the data in the same workspace. Clicking on "Change Subject Area" allows the user to easily navigate through multiple predefined working spaces and select the desired active area of interest.