Event Processing with TIBCO BusinessEvents

Influence the Outcome of Your Critical Business Moments

In the emerging digital world, billions of people, systems, and devices will interact in real-time, suggesting new and disruptive competitive advantages. How do you play there? By building distributed, stateful, rule-based event-processing systems, experimenting, learning, and quickly evolving.

Benefits

Change the game

Data is arriving in real time from hundreds of internal and external sources—and it has shelf life; its value diminishes over time. With TIBCO, you can jump-start big data processing initiatives that give you the ability to sense, reason, respond, and visualize—much different and much faster and smarter than the traditional store, analyze, report, act approach.

Collaborate and create

With multiple rule authoring environments, you support collaboration between IT developers and business professionals. Developers can rapidly create a browser or custom UI self-service environment where users can influence the behavior of rules without coding. It’s the best way to experiment, try, learn, and allow for changes in rapid response to dynamic market conditions or competitor actions.

Decide and act instantly

You need to find the important events in a deluge of data, minimize decision latency, and respond in the moment to bring a favorable business outcome. All this is possible with your unique event-processing applications that are much easier to build using the TIBCO framework. It prevents ever having to build from scratch and reduces project complexity and development time.

Introduction to Fast Data and TIBCO BusinessEvents
Introduction to Fast Data and TIBCO BusinessEvents

Use real-time intelligence

Not only can you detect and respond in real time and process events instantly, you can generate actionable insights. This real-time intelligence becomes part of your competitive strategy, providing a continuous feedback loop that continually enriches your knowledge, capabilities, and responses.

Capabilities

Relate real-time to at-rest data

Inference rules provide a mechanism for relating events that represent points in time to other events that represent historical data residing in diverse data sources.

Track and trace lifecycles

State machines provide an event-driven and rules-based mechanism for tracking and tracing lifecycles and identifying missing events, such as orders that go through a number of steps before being fulfilled.

Create conditional rules

Decision tables are business-user defined rules that provide a spreadsheet-like interface that hold combinations of values or ranges of values for a set of parameters for which actions can be specified.

Compute parameter values

Business rules are easy to modify parameterized rules implemented by business users based on templates defined by technical users used to, for example, compute loyalty-related discounts based on total purchases over a period of time.

Orchestrate processes

Event-driven process orchestration can be used to, for example, orchestrate order fulfillment when computation of a number of rules or decision tables are involved.

Match event patterns

Temporal relations across event streams can often be expressed through patterns such as sequencing, duplicate detection, store and forward, and others. Pattern-matching can be used to, for example, either collect a minimum number of containers for a particular destination port or wait for some period of time, whichever comes first, before ordering shipment.