Cubus outperform EV Analytics

Cubus outperform EV Analytics is a web-based ad-hoc analysis and reporting environment. It is a easy to use frontend for Business Analytics on Oracle Essbase, Microsoft Analysis Services and IBM Cognos TM1. It is 100% compatible to IBM Cognos Executive Viewer.

Key Features:

• Lean Administration: To enable a user to connect to an OLAP database is simple and could be done in 3 minutes. Open the EV Explorer web-based Administration Interface. Configure a data source (this is where the OLAP server is installed) and define a database connection (this is the name of the cube to work on). All other metadata will be imported by EV itself and is immediately available to the end-users. Any change in the underlying database structure is available when the end-user opens the report or view next time.
• Virtual Calculations: Virtual calculations allow you to set up additional calculations without any knowledge of the underlying OLAP technology. Simply select on a pocket calculator style interface and create new KPIs, variances and other calculations using basic mathematical operators or enhanced statistical and mathematical functions.
• Sort & Select: With Sort & Select you can make EV Server do the work for you. Create the report of your top ten customer based on specific database values like revenue or margin or the bottom 5 report products that generated most negative profit within the last month. Look for all negative variances or products without revenue in the last 3 months. If you have 100 products or 100,000 products, EV server will do the work for you without programming simply by selecting from a menu.
• Easy Navigation: Cubus outperform EV Analytics is the most intuitive user-interface to OLAP databases. When a user connects to a database or cubes, the first view is automatically predefined and the user can start to navigate within the dimensions. You simply click on a dimension in the columns, rows or offgrid to select specific elements. You can pivot dimensions and change the column and row definitions simply with drag & drop operations directly in the table or the graph.