Ventana Research Analyst Perspectives

Vitria Brings Power of Big Data and Business Analytics to Operational Intelligence

Posted by Mark Smith on Mar 17, 2013 11:29:53 PM

For almost two decades, Vitria has been harvesting data across networks and systems and using events to drive operational intelligence using the science of complex event processing (CEP). The company won the 2012 Ventana Research Technology Innovation Award in the category of Operational Intelligence for KPI Builder, and in past years its customer TXU Energy won our Leadership Award. Last year my colleague Richard Snow assessed how Vitria uses big data from sources inside and outside the enterprise to enable timely action across the organization. Vitria can parse big data in motion across the network through its correlation, workflow and analytic architecture and compare it with historical data to provide insights for those responsible for taking action.

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Topics: Big Data, Sales Performance, Social Media, Mobile Technology, Vitria, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Complex Event Processing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence

Like Big Data, Operational Intelligence is Evolving to Deliver Right Time Value

Posted by Ventana Research on Jan 2, 2013 11:32:12 AM

Ventana Research has been researching and advocating operational intelligence for the past 10 years, but not always with that name. From the use of events and analytics in business process management and the need for hourly and daily operational business intelligence, but its alignment with traditional BI architecture didn’t allow for a seamless system, so a few years later the discussion started to focus around business process management and the ability of companies to monitor and analyze BPM on top of their enterprise applications. Business activity monitoring became the vogue term, but that term did not denote the action orientation necessary to accurately describe this emerging area. Ventana Research had already defined a category of technology and approaches that allow both monitoring and management of operational activities and systems along with taking action on critical events. Today, Ventana Research defines Operational Intelligence as a set of event-centered information and analytics processes operating across the organization that enable people to take effective actions and make better decisions.

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Topics: Big Data, SOA, Supply Chain Performance, business activity monitoring, business process monitoring, IT Performance, Operational Performance, Service oriented architecture, Business Analytics, Business Intelligence, Business Performance, Complex Event Processing, Customer & Contact Center, Operational Intelligence, real time analuytics

What Every CEO Needs to Know About Key Supporting Technologies

Posted by Robert Kugel on Nov 30, 2012 11:00:28 AM

I recently started a series of blog posts on what CEOs (and for that matter, all senior corporate executives) need to know about IT. The first covered the high-level issues. As I noted there, it’s not necessary for a CEO of a company to be able to write Java code or master the intricacies of an ERP or sales compensation application. However, CEOs must grasp the basics of IT just as they must understand basic corporate finance, the production process and – at least at a high level – the technologies that support that process. This installment is about four supporting technologies that will be drive considerable change in business computing over the next five years. Each of these subjects is worthy of a chapter-length discussion or even a book; what follows is the “elevator pitch” version.

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Topics: Big Data, Mobile, SaaS, Sales Performance, Social Media, Supply Chain Performance, Customer, ERP, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud, Cloud Computing, Complex Event Processing, Customer & Contact Center, Financial Performance, In-memory, Information Management, Workforce Performance, CFO, CEO, PaaS

Tibco Bets on Event-Driven Analytics

Posted by Ventana Research on Aug 20, 2012 11:29:44 AM

Over the years Tibco has provided infrastructure for enterprise data integration and has built a substantial installed base. Now the company positions itself as supplying next-generation analytics for big data through service-oriented architecture (SOA). SOA has been around for a while; Ventana Research has been tracking it since 2006 and conducted benchmark research on SOA. But it remains a vaguely understood technology. Our research shows that SOA is not clearly defined in the market and that interpretations vary across the software industry. The basic function of an SOA is to provide common components and a common implementation that enable programmers to plug in and share applications through open application programming interfaces (APIs). In recent years, SOA has morphed into more of a general approach than a fixed set of standards. SOA architectures (though not always called SOA) are at the heart of modern platforms such as salesforce.com, Facebook and Amazon Web Services. In SOA Tibco competes with IBM and Oracle, among others.

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Topics: Big Data, Predictive Analytics, Sales Performance, SOA, Spotfire, IT Performance, Operational Performance, Service oriented architecture, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Complex Event Processing, Customer & Contact Center, Information Management, Operational Intelligence, Tibco, CEP

Information Management Technology Revolution and Research Agenda for 2012

Posted by Ventana Research on Mar 16, 2012 10:50:44 AM

In our definition, information management encompasses the acquisition, organization, dissemination and use of information by organizations to create and enhance business value. Effective information management ensures optimal access, relevance, timeliness, quality and security of this data with the aim to improve organizational performance. This goal is not easily met, especially as organizations acquire ever more data at an ever faster pace. In our business analytics benchmark research of more than 2,600 organizations, almost half (45%) have to integrate six or more types of data in their analyses. More than two-thirds reported that they spend more time preparing data than analyzing it. To assist in dealing with these sorts of issues and others, we’ve laid out an ambitious information management research agenda for 2012.

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Topics: Data Quality, Master Data Management, Social Media, IT Performance, Business Analytics, Business Intelligence, Cloud Computing, Complex Event Processing, Data Governance, Data Integration, Information Applications, Information Life Cycle Management, Information Management, Operational Intelligence