Data Science and Streaming

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.

Easy, Enterprise, Immediate: NOW– analytics you can act on.
Streaming 11.0

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.

Customer: University of Iowa Hospitals and Clinics

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.

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

Predictive models

Easily create and deploy predictive models that combine data prep, business rules, and machine learning. Give data scientists templates that can be easily deployed with industry-leading model management, monitoring, and governance to deliver actionable insights.

Machine learning for big data

Automate analytical models with algorithms that iteratively learn from data and optimize performance. With available machine learning algorithms for big data, you can find new patterns and insights without explicitly programming them where to look.

Streaming analytics

Automate action with advanced analytics and predictive models on live data. Use a visual development environment to quickly build and deploy streaming applications to enable systems to score data, send alerts, and quickly take action that is timely and contextual.

Edge analytics

Build analytics as a service and deploy microservices to analyze and score data at the edge. Reduce data bottlenecks and bring analytics to the data.

Security, governance & auditability

Deploying analytic and data pipelines solutions against Kerberos, Ranger, and Sentry can be challenging; many open-source implementations aren’t suited. Our advanced analytic solutions are underlying-technology agnostic and integrate with existing data security policies within a governable auditable framework.

Team collaboration

Deploying analytic pipelines against Kerberos, Ranger, and Sentry can be challenging; many open-source implementations aren’t suited. Our advanced analytics is technology agnostic and integrates with your data security policies within a governable auditable framework.