FastCube FMX enables you to analyze data and to build summary tables (data slices) as well as create a variety of reports and graphs both easily and instantly

FastCube FMX is a tool for effective data analysis

FastCube enables you to analyze data and to build summary tables (data slices) as well as create a variety of reports and graphs both easily and instantly. It’s a handy tool for the efficient analysis of data arrays.

FastCube FMX is a set of OLAP Desktop components. It supports Embarcadero Delphi XE4-XE7, C++Builder XE4-XE7, RAD Studio XE4, Embarcadero RAD Studio 10.3 Rio and higher. You can integrate it to applications for MS Windows and Apple Mac OS X.

FastCube FMX components can be built into the interface of host applications
FastCube FMX end users do not require high programming skills to build reports
FastCube FMX is a set of OLAP Desktop components for Delphi/C++Builder/Lazarus
Connection to data-bases can be not only through the standard ADO or BDE components but also through any component based on TDataSet
Instant downloading and handling of data arrays
Ready-made templates can be built for summary tables. It is posible to prohibit users from modifying the schema
All FastCube’s settings may be accessed both programmatically and by the end user
FastCube’s data can be saved in a compact format for data exchange and data storage

Key features:

Instant data slices 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 slices (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 slices to Excel, Word or HTML
Copying of a highlighted range to the clipboard
Reviewing and exporting slices cell details
Cube’s/data cube’s export to XML formats : XML for Analysis, xml-msdata, ms rowset or DataPacket
Printing by means of FastReport
Graph construction by means of TeeChart for FireMonkey