TIBCO Software

概述
总部
美国
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成立年份
1997
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公司类型
私营公司
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收入
$1-10b
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员工人数
1,001 - 10,000
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网站
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公司介绍
TIBCO Software Inc. 释放了实时数据的潜力,可以做出更快、更明智的决策。我们的互联智能平台无缝连接任何应用程序或数据源;智能地统一数据以获得更好的访问、信任和控制;并自信地实时、大规模地预测结果。在www.tibco.com上了解 TIBCO 如何为客户最关键的业务挑战提供解决方案。
物联网解决方案
物联网应用简介
技术栈
TIBCO Software的技术栈描绘了TIBCO Software在平台即服务 (paas), 应用基础设施与中间件, 和 分析与建模等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.

Case Study
CTI Solutions Improves Reporting and Data Handling with Jaspersoft
CTI Solutions needed a new reporting solution for customers as they couldn't keep up with programming and maintenance. They wanted a more automated and uniform solution that could provide real-time data and a better user experience.

Case Study
Biota Technology: Revolutionizing Industrial Genomics with Data Integration
Biota Technology, a pioneer of industrial genomics, wanted to apply innovations in DNA sequencing and genomics to subsurface exploration in oil and gas. However, the complexity of genomes and biological material made it difficult to accomplish and scale their vision.

Case Study
Bigmate Solves IoT Asset Management with Embedded BI
Bigmate deals primarily with the Internet of Things (IoT), or more specifically, the Internet of Assets (IoA). The company needed a solution to collect and analyze data from business assets and provide meaningful business intelligence to their customers. They also needed to deliver visualizations that bring clarity to the data, which was generated as frequently as once a second.

Case Study
Compliance.ai and TIBCO Cloud API Management: Simplifying Regulatory Compliance
Regulatory change management is currently accomplished through costly, time-consuming, error-prone, manual, and unpredictable processes. The volume of regulatory information published by state and federal governments poses a huge, expensive, time-consuming challenge for financial companies.

Case Study
Improving Marketing with Predictive Analytics: How a High Tech Company Achieved Best Results with TIBCO Data Science
This large company's analytics software supported over 500 internal clients with predictive modeling projects for improving customer acquisition and retention, identifying up-sell and cross-sell opportunities, increasing revenue, and understanding customer lifetime value. Members of the global analytics team had been using other legacy analytics platforms for years, and they were heavily dependent on them for data extraction, processing, analysis, and reporting. However, there were drawbacks with these systems.
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