简化、协作并提高效率
Big data technologies are complex. Simplifying the end-to-end analytics lifecycle within big data ecosystems like Spark and Hadoop allows you to use data science techniques at scale. Collaborating across data science, line of business, and IT teams on big data and other advanced analytics projects increases efficiency and productivity for the entire organization.
发现异常并采取行动
Analyzing high-volume streaming data at the edge and directly within business systems allows you to find anomalies, make decisions, and take action at point of impact. With ever-increasing volumes of data, being able to analyze, filter, summarize, and gain insight in real time reduces the need to move and store every bit of data collected.
可操作、监视、管理和信赖
许多企业都在努力提高分析的可操作化程度。随着数据逐渐变化,模型不断衰减,能够在边缘或直接在业务系统内刷新、自动部署新的分析模型并对其进行再训练,将有助于您理解值得信赖的结果并据此采取行动。
利用智能采取行动
With full visibility into all data anywhere, your organization can make the best decisions based on real-time, actionable insights and intelligence with our advanced analytics. Improve business outcomes by infusing advanced analytics into the business and automating decisions. Learn more, refine, and build intelligence with a closed-loop solution featuring built-in, continuous feedback.

轻松地加速分析
Accelerators are reusable business application templates designed to solve specific business problems. From oil & gas drilling and connected vehicles to real-time inventory and risk management, our analytic accelerators solve your challenging problems. They include extensible and re-usable design patterns and reference architectures that are fully documented and freely available on the TIBCO Community.

快速做出正确响应
即时响应各种事件,并确保由适当的人员适时采取正确的行动来帮助快速解决问题。采用基于边缘评分的微服务和基于开源技术、占用空间极小的现代化无服务器应用。