Vitria Updates Operational Intelligence for Real-Time Insights from Big Data, Events

Vitria Technology’s latest update to its operational intelligence platform delivers rapid, scalable and continuous real-time insights from big data analytics. Vitria OI 4 also derives insights from streaming events, and business processes. IDN speaks with Vitria execs.  

Tags: analytics, big data, Hadoop, Operational Intelligence, Twitter, Vitria, expert voice,

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Dale Skeen
CTO and co-founder
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"Vitria OI presents continuous, real-time analytics from unified views across big data, streaming data and event, historical data and unstructured sources."

Vitria Technology’s latest update to its operational intelligence platform delivers rapid, scalable and continuous real-time insights from big data analytics. Vitria OI 4 also derives insights from streaming events, and business processes.

 

Vitria’s OI multi-tiered, clustering architecture is designed to provide insights by correlating complex events, streaming data, unstructured data and historical data – all in real time, Dale Skeen, CTO and co-founder of Vitria told IDN.

 

“Vitria OI presents continuous, real-time analytics from unified views across many data and event sources, including big data, streaming data and event, historical data and unstructured sources. We then correlate all that to provide users a single, actionable 360-degree view of any situation,” Skeen said.
 
Because of Vitria OI’s underlying capability to tap real-time into so many data and event sources – in motion and at rest -- it can also present users with ‘predictive analytics’ that can use past and present data and trends to predict future situations, Skeen added.

 

Among Vitria OI 4’s key improvements are:

 

  • Continuous, Real-Time Big Data Analytics: To enable users to compare, combine, and correlate a wide variety of data from Hadoop to social media streams in a single, live dashboard.
  • Elastically Scalable Architecture: To dynamically scale up and down to meet demand. This flexibility also enables companies to meet challenges of handling real-time big data of any size, as well as rapidly adjust deployments and prioritizations based on changing use cases. 
  • Dynamic Workload Assignments: Automatic load partitioning and assignments can match company policies and optimize hardware utilization for optimum performance.
  • Advanced Process Intelligence: For continuous, real-time monitoring, measurement, and improvement of process outcomes. Users also gain visibility into hidden processes, as well as insight from a 360-degree, real-time view of the business.

 

Vitria IO 4’s advanced process intelligence also includes  finely-tuned capabilities to help companies uncover what Skeen calls “hidden processes,” which are stealth workflows that can impact efficiencies or profit opportunities.

 

“Hidden processes are not explicit business processes, but are the way things really work across your IT systems,” Skeen told IDN. Vitria OI 4 can automatically uncover these “hidden processes” using its sophisticated process discovery tools and techniques. These search for trails of the “hidden processes” that reside throughout a company’s IT systems, and include dates and times for database changes, audit trails log files, message queue activities and so on.

 

vitria_02_01Unlocking and improving hidden processes can prove a major step in improving company efficiencies and profits, Skeen added. “Hidden processes are useful because they reveal the way workflows really work inside your company, which may not be the way your team thinks they work. And, while they are not explicit, these hidden processes leave footprints that Vitria can uncover and track,” he said.

 

Leading use cases for Vitria OI 4 include mobile telecoms, customer experience management, real-time network monitoring, demand/response management and order-to-cash.

 

Indra, a multinational IT services firm, is using Vitria OI to deploy customer experience management for its mobile telecom clients. “Vitria OI 4 continuously monitors network performance by analyzing real-time, big data network events, and combines this data with mobile device events and customer information. [This gives] our service providers 360-degrees of insight into the individual customer experience,” said John Wallace, Director of Telecommunications at Indra, in a statement.

 

One analyst also noted Vitria’s capability to deliver a real-time experience to firms using historical-based data warehousing. “Vitria is well positioned to enable the real-time enterprise,” with its integrated workflow engine and elastic architecture features to support continuous analytics, said Robin Bloor, co-founder of The Bloor Group.

 

Vitria OI 4 Also Brings Real-Time Insights
To Traditional Data Warehousing Users
Vitria OI 4 debuted last month at TDWI 2013 (The Data Warehouse Institute’s annual meeting). Given that audience, Vitria OI 4 showed features that can offer real-time insights to traditional data warehousing users, noted Rick Saletta, Vitria’s vice president of global marketing.

Under the covers, Vitria OI 4 can unite in a single view historical data from huge data stores and warehouses with continuous, real-time analytics on streaming data and events, as well as big data in motion. 

 

“Users of data warehouses have commitments to their infrastructure, but they want faster access and they want to access more types of data,” Saletta told ID. “We can essentially put Vitria OI 4 on the front of the data warehouse and as all the incoming flow moves through OI it can analyze it, generate real-time analytics and send the raw data to the data warehouse.”

 

And even as traditional data warehousing firms are moving to embrace big data, Saletta said that big data is only half of what these large customers are looking for. “Corporate customers are drowning in big data, and at the end of the day customers really want real-time intelligence drawn for many sources of data,” he said. These can include sources of big data, such as Hadoop, social media, such as Twitter and all types of analytics about how consumers use websites or mobile apps.

 

To give an example of how Vitria OI 4 can help, Saletta mentioned the capability to offer a coupon to a customer using a smartphone. “Think about it, this example combines historical buying patterns from a customer with real-time, geo-location data about where that customer is right now. And, bang, you send them a coupon right in front of your coffee shop or whatever,”  Saletta said.

 

Vitria OI 4 is available on-premise or in private, public or hybrid clouds. 




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