TIBCO Statistica 是一個久經考驗的分析平台,擁有20多年的歷史,為客戶提供成功的業務成果,這是一個擁有超過一百萬用戶的全球用戶群。
TIBCO Statistica 已在全球範圍內使用了數十年,並以多種語言用於各種應用。在製造環境中,作為專用的企業質量控制和過程監控和報警解決方案,提供簡單的標準圖表和分析,以及多變量控制圖表,基於模型的SPC(例如,用於基於實時模型的多階段監控批處理過程)和/或具有警報和儀表板的自定義分析工作流程.TIBCO Statistica 在全球範圍內安裝在經過FDA驗證的製造環境(符合FDA 21 CFR Part 11標準)中,以支持關鍵報告和分析需求。由於TIBCO Statistica 使用行業標準接口,語言,數據格式等構建,因此TIBCO Statistica 可以快速輕鬆地集成到復雜的數據倉庫中,實驗室信息管理系統(LIMS)和其他一般或專業的IT基礎設施。詳細了解製造解決方案。
在M2M Gateway中提供實際數據,相對於物理設備的行為和狀態,接收信息和通信業務解決方案,如國家統計,使動作自動觸發,根據定義的規則,監測和控制所有的設備,依賴在物理可測量單位。
Unique Features
Some of the unique features of the Statistica line of software include:
• the breadth of selection and comprehensiveness of implementation ofanalytical procedures,
• the unparalleled selection, quality, and customizability of graphics integrated seamlessly with every computational procedure,
• a selection of efficient and user-friendly user interfaces,
• the ease of customizability using the truly open architecture compatible with virtually all enterprise and development environments (including .NET), that exposes Statistica’s more than 14,000 functions,a wide selection of advanced software technologies that is responsible for Statistica’s practically unlimited capacity, performance (speed, responsiveness), and application customization options,
• Native R scripts can be run directly within Statistica and R output can be retrieved as native Statistica Spreadsheets and Graphs. One of the most unique and important features of the Statistica family of applications is that these technologies enable even inexperienced users to tailor Statistica to their specific preferences. You can customize practically every aspect of Statistica, including even the lowlevel procedures of its user interface. The same version of Statistica can be used:
• By novices to perform routine tasks using the default analysis Startup dialog Quick tab (containing just a few, self-explanatory buttons), or even by accessing Statistica with their Web browsers (and a highly simplified “front end”), and
• By experienced analysts, professional statisticians, and advanced application developers who can integrate any of Statistica’s highly optimized procedures (more than 14,000 functions) into custom applications or computing environments, using any of the cutting edge .NET and Web-compatible technologies.
Named User Installation
This licensing is also known as single user or desktop installation instructions.
Minimum hardware requirements for standard client configuration
Requirement | Details |
64-bitversion | |
Processor | |
2.0GHz,64-bit,quad core or more | |
Memory | 8GB RAM minimum,16GB recommended |
Hard disk space for installation | 10 GB |
Minimum Scratch/Temporary Disk Space | 50 GB recommended per user |
Operating System | Microsoft Windows 10 |
Software Requirements
Requirement | Details |
Microsoft .NET Framework | 4.6.1 |
Microsoft Visual C++ Redistribute for Visual Studio 2015-2019 |
x64 and x86 - or just x86, depending on application bitness |
Statistica installer delivers these requirements. It is optional to install them prior to running the installer
Preinstallation Checklist for Named User Installation
Follow the checklist before starting the Named User Installation.
● Users on their client machines must log on with Administrator permissions or run the installer with elevated privileges to complete the client installation. You might be prompted to reboot to complete the installation.
● If you have any Statistica version prior to 14.0, uninstall it. Refer to the Uninstalling section for instructions. Note that this method of removing Statistica does not affect or delete any data files created with previous installations. After this is complete, proceed with the installation instructions.
Important Instructions
● We recommend the 64-bit version of Statistica with 64-bit processor and operating system.
● The optional advanced hardware graphics support for transparency requires a graphics card that supports Direct2D.
● For integration with Python, use 3.8 and above. The comtypes module is required for Python integration.
● For R integration, R 3.6.1 and R 4.2.2 are recommended.
● For H20 integration, H20 3.10.4.7 and Sparkling Water 2.1.7 are recommended. This runs Spark 2.1.0.