FastCube FMX

Developer's DescriptionBy FastReport SoftwareAnalyze data and build summary tables (data slices), create a variety of reports and graphs.FASTCUBE FMX is a tool for effective data analysisFastCube 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 applicationsFastCube FMX end users do not require high programming skills to build reportsFastCube FMX is a set of OLAP Desktop components for Delphi/C++Builder/LazarusConnection to data-bases can be not only through the standard ADO or BDE components but also through any component based on TDataSetInstant downloading and handling of data arraysReady-made templates can be built for summary tables. It is posible to prohibit users from modifying the schemaAll FastCube's settings may be accessed both programmatically and by the end userFastCube's data can be saved in a compact format for data exchange and data storageKey features:Instant data slices creation. Data sources schemas or SQL queriesAll basic statistical operations (count, sum, minimum, maximum, average, variance)Special functions (number of unique values, first value, list of unique values)Filters for measured valuesAutomatic component layout of date and timeUnlimited number of measures in a summary tablePossible to put data into table columns or table rows, as well as on any level of measurementsCalculated data (based on FastScript)Calculated filters for numeric data by using output formattingCalculated filters for values when calculating data (based on FastScript)Numeric data display control by using output formattingNumeric data output as a value or as percent (in a row, column, group or table total)