IoT Analytics Platform
Vitria VIA is a full-stack IoT analytics platform that enables the rapid design,REQUEST FREE TRIAL WATCH DEMO
development, and deployment of real-time analytics against big IoT data.
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Optimize Your Supply Chain
with Vitria IoT Analytics Platform
Learn how one Major Fast-Fresh Retailer did just that!DOWNLOAD CASE STUDY WATCH DEMO
VIA enables you to transform your business operations through Faster Analytics, Smarter Actions, and Rapid Innovation that drive Better Outcomes Faster.
Better Outcomes Faster
VIA executes Faster Analytics in real-time over all data varieties and speeds to provide the context and insight needed for the fast decision-making required in IoT. Smarter Actions yield better outcomes by combining predictive and prescriptive analytics with intelligent automated actions. Rapid Innovation is achieved via self-service tools and visual designer tools that empower teams to create innovative solutions in minutes vs. months. Together these benefits drive Better Outcomes Faster via IoT Analytics.
Learn more about VIA on our capabilities page…
- Who We Are
Founded in 1994, with long history of success in streaming analytics, business process management, enterprise application integration, operational intelligence and IoT (Internet of Things) analytics across enterprises and vertical markets.
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- What We Do
Our mission is to empower customers to achieve better business outcomes
faster via an advanced analytics platform that unifies real-time streaming analytics, historical analytics, predictive analytics, prescriptive analytics, and intelligent actions.
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- Why It Matters
Vitria's Platform delivers Fast IoT Analytics via rapid analysis and intelligent action and automation to capture business value at the right moment. Our platform meets the requirements for success in the IoT era.
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The VIA platform leverages telemetry, elastic cloud computing, fast analytics, self-service model-driven development, and machine learning to apply the power of predictive and prescriptive analytics to IoT challenges and applications. It includes an intelligent actions and automation capability that is critical for creating value in IoT – taking timely action on analytics.
Vitria’s Operational Intelligence Suite is designed to enable decision makers to respond in real-time to changing business conditions, thereby increasing operational efficiencies and overall responsiveness.
Maureen Fleming Program Vice President
The TXU Energy Case Study demonstrates how a small development team can quickly implement a process monitoring solution that gives business people much-improved visibility into complicated business processes, leading to substantial improvements in customer service levels and customer satisfaction.
W. Roy Schulte VP Distinguished Analyst
Vitria Operational Intelligence has enabled Indra to rapidly deploy new customer experience management initiatives for our mobile telecom service provider clients.
John Wallace Director of Telecommunications
Customer service is crucial to maintaining our position as the leading energy company in the highly competitive Texas market. Vitria offers an integrated suite in which all components naturally work well together to provide real-time visibility across our internal information systems. This enables us to identify and correct service delivery issues before they occur and impact our customers.
Kevin Chase CIO
We need a holistic picture of each individual customer’s experience so that we can proactively identify and resolve service issues before they negatively impact our customers Vitria Operational Intelligence offers a single user friendly platform that identifies and addresses our most important customer-facing issues and will allow us to enhance our service experience.
Dave Akeroyd Head of OSS Strategy and Architecture
In The News
IoT Data Analytics | @ThingsExpo #IoT #M2M #IIoT #BigData #AnalyticsOctober 15, 2016 | SYS-CON Media
The IoT Analytics Hot List: Integration, Implementation, and IoTAugust 29, 2016 | IoT Evolution Magazine
It Pays Off to be at the Forefront of Utilising IoT Data Analytics TechnologyAugust 2016 | ThingsExpo Journal