A set of OLAP Desktop components that you can use to analyze data, create detailed tables, as well as generate reports and graphs
FastCube is a library that developers can use to create summary tables which supports Delphi 7, C++Builder 6, CodeGear RAD Studio 2009 and Lazarus.
FastCube components can be built into the interface of host applications and end users do not require high programming skills to build reports.
Main features:
- Instant data cut-off creation. Data sources schemas or SQL queries
- All basic statistical operations (count, sum, minimum, maximum, average, variance, etc.)
- Special functions (number of unique values, first value, list of unique values)
- Filters for measured values
- Automatic component layout of date and time
- Unlimited number of measures in a summary table
- Possible to put data into table columns or table rows, as well as on any level of measurements
- Calculated data (based on FastScript)
- Calculated filters for numeric data by using output formatting
- Calculated filters for values when calculating data (based on FastScript)
- Numeric data display control by using output formatting
- Numeric data output as a value or as percent (in a row, column, group or table total)
- Possible to use data of Date, Time and Row type
- Conditional highlighting of cell value in a cut-off (in a range)
- Possible to minimize measurements as a whole as well as separate values
- Possible to control the display of totals
- Control of axis sorting (according to measurement value or data)
- Control of each level of measurement sorting (line of sorting)
- Saving of templates (schemas) and data itself for future use
- Export of FastCube’s cut-off to Excel, Word or HTML
- Copying of a highlighted range to the clipboard
- Reviewing and exporting cut-off cell details
- Cube’s/data cube’s export to XML formats : XML for Analysis, xml-msdata, ms rowset or DataPacket
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