Scale Data Science across your Enterprise and Act in Real Time

Analyze real-time data and automate decisions: connect intelligence and action

Accelerate innovation and achieve a competitive advantage with data science and streaming analytics. Algorithms are only one piece of the advanced analytics puzzle. Being able to access, prepare, visualize, model, deploy, score, monitor, and retrain models within a fully auditable and governable framework is the end-to-end analytics lifecycle that is paramount to success. To outpace the competition, your organization needs to evaluate high-volume, streaming data directly within your business systems and at the edge.

Benefits

Simplify, collaborate, and do more

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.

Find anomalies and take action

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.

Operationalize, monitor, manage, and trust

Many organizations struggle to operationalize analytics. As data drifts and models decay, being able to retrain, refresh, and automatically deploy new analytic models at the edge or directly within business systems lets you understand and act on trustworthy results.

Connect intelligence to action

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.

Customer: University of Iowa Hospitals and Clinics transforms patient care with predictive analytics

Easily accelerate analytics

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.

Respond fast and correctly

Respond to events in a fraction of a second and ensure the right people take the right actions at the right time to get issues corrected quickly. Employ microservices for edge scoring and modern serverless applications with a tiny footprint based on open source technology

Capabilities
Related Products
Customers

2019 Gartner Critical Capabilities for Data Science and Machine Learning Platforms