Real-Time Monitoring of Events for Business Insight
Webinar Abstract
Companies in every industry operate in relation to a continuous sequence of many events—products are manufactured, sales are made, inventory is tracked, or packages are shipped. While there is no need to be notified when events happen as planned, when anomalies occur (such as a snow storm that prevents delivery), the organizations that receive early notification have an advantage over those that do not.
The explosive growth in the volume and variety of data makes it challenging to identify what’s important in mounds of data. And while the data warehousing approach may satisfy static reporting expectations, the latency of the traditional data warehousing cycle exceeds the time frame required for delivering information in real time so that the right people can take action in time to address changing business needs.
Identifying developing situations and understanding their potential impact to your business is the catalyst for a paradigm shift to a different analytical framework for continuously monitoring streams of millions, if not billions of events from a variety of data sources in real time. In this talk, we explore alternate approaches to monitoring and processing events in real time in order to distinguish between typical behavior and those unexpected events that can represent business opportunities or potential threats, and then providing real time visibility into those events so that your organization can adapt quickly to emerging situations.
In this Webinar, you will learn:
- Monitoring and processing events in real time to understand what’s happening
- Defining queries to identify patterns in streaming event data that are significant to business operations
- Correlating real-time event data with historic or predictive data to understand what’s important in context of the situation
- Delivering event insight to users in real time (via a variety of communication paradigms such as alerts or dashboards), so that users can analyze results and respond quickly
- Typical usage scenarios for event processing
David Loshin