ibax - enterprise business intelligence
 
 
 
 
ibax - we transfer data to knowledge
 
SSAS Value Pack - Professional Productivity
for Microsoft Analysis Services (SQL Server)
 
Leverage your Analysis Service platform to a cost efficient
Business Intelligence (BI) self-service solution
within a few days.


 
SSAS Value Pack - Application Independence
 

 
Value Pack - Advantage
 
  • performance optimized
  • front-end application independent,
    leveraged use of Microsoft Excel as alternative front-end
  • maximum degree of end user functionality for
    standard reporting and ad-hoc analysis
  • centralized, time-efficient customizing & maintenance
  • well documented components, generic HTML solution documentation
 
 
SSAS Value Pack
 
 
 
 
Value Pack - Offerings
 
  • Value Pack with individual implementation service at a fixed rate
  • Value Pack for corporate use, with full technical detail documentation and free introductory training
  • Value Pack Development Edition - upon request
 
 
Productivity Boost
 
Develop (or migrate) your individual best-practice reporting and analysis solution witihin a few days.

Source Independent
You can also build and use best-practice Analysis Service solutions without an underlying ETL / data warehouse environment and directly get the data from any SQL database product platform (incl. Oracle, Sybase, MySQL, etc.).
 
 
 
SQL Parallel Boost - Free Download | August 2011
A Community Edition of SQL Parallel Boost can be downloaded for free at www.codeplex.com
 
ETLight 2.5 | Juli 2011
The new version of ETLight provides a lightweight implementation framework for rapid implementation of custom data mart implementations.
 
Development Partnership | April 2011
Official development partnership with excellente for aito standard reports.
 
New Offices | January 2011
ibax is moving all existing locations to new offices.
New address from
15th January 2011:

Talweg 74
8707 Uetikon am See
 
aito for ABACUS | Nov 2010
aito 2.0 goes in production at Athleticum Sport Markets. The platform is used for financial & analytical dashboards/reporting and multi-scenario financial budgeting & planning.