PivotCubeX is a Royalty-Free visual component for OLAP analisys and reporting. You can use it to load data from huge relational databases, look for information or details and create summaries and reports that help the end user in making accurate decisions. It provides highly dynamic interface for interactive data analysis.
Tree-like (Hierarchical) dimensions
Each measure reperesentation(Value,Rank,Percent) in separate cells
Add support for set statistical functions like quartiles,deviation,median etc
Simple load data from any ADO compatible datasource
Unlimited number of dimensions and measures
Save builded cubes into file or stream for future use or publications
Upgrade saved cube with new data You can build your own cubes like in a 'big' OLAP servers - day-by-day without refreshing data, just adding new records into saved cube
Simple sorting (with changing order) over any measure and dimension
Custom dimension wrapping - for example to Seasons, Quarters, Day/Night etc over ANY dimension, not only datetime
View data as their absolute value and in percent representation and in ranks
Simple export data into MS Excel
Allows many image enhancements, like colors,fonts etc, including different views of different data depending on their values.
Custom cell values formating or recalculating (for example add VAT)
Multiline column and row headers
Automatic sizing of columns and rows such as to fit values into cells
Many others abilities
If you are not familiar with Online Analytical Processing (OLAP) PivotCube is a state of the art instrument to familiarize yourselves with this cutting edge data processing technology. If you are an expert in OLAP we hope that you would enjoy breakthrough performance of our OLAP engine. We do hope that with PivotCube you will develop unique solutions that will give your customers satisfaction and provide a long-run success of your business. Powerful API allows you building very customizable applications with all PivotCube OLAP abilities.
PivotCubeX - ActiveX control for OLAP analisys keywords:
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