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FastCube-FMX

FASTCUBE FMX is a tool for data analysis

Tool Name:

FastCube-FMX

Tool Version: 1.2

Tool Type: Shareware

Tool Cost In: 249 US$

Tool Target Platform: Windows

Tool OS Support: Win2000,WinXP,Win7 x32,Win7 x64,Windows 8,Windows 10,WinServer,WinOther,WinVista,WinVista x64

Limitations: Nag screen

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Short Description:
FASTCUBE FMX is a tool for effective data analysis 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. FastCube FMX is a set of OLAP Desktop components.

Long Description 1:
FASTCUBE FMX is a tool for effective data analysis 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. 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, XE5, XE6, C++Builder XE4 - XE6, RAD Studio XE4 and higher.

Long Description 2:
FASTCUBE FMX is a tool for effective data analysis 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. 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, XE5, XE6, C++Builder XE4 - XE6, RAD Studio XE4 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)