VIA Business Benefits
VIA enables you to maximize value from your IoT initiatives and transform your business through Faster Analytics, Smarter Actions, and Rapid Innovation that drive Better Outcomes Faster.
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Faster Analytics
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Smarter Actions
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Rapid Innovation
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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 design tools that empower teams to create innovative solutions in minutes vs. months. Together these benefits drive Better Outcomes Faster via IoT Analytics.
Platform Capabilities
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.
Key Capabilities
- Fast Data Ingestion & Integration leverages IoT protocols to process the huge speed and volume of data that typically flows in IoT.
- Open IoT Data Lake – stores, secures, and curates all of your IoT data, from raw device data to time-series analytic data, and provides an Elastic Query Service.
- Visual Analytics provides powerful visualization to explore analytical results, highlight key relationships, spot anomalies, test hypotheses, and diagnose problems.
- Advanced Analytics provides a unified, comprehensive set of descriptive, predictive, and prescriptive analytics that can be executed across real-time data streams or historical data-sets. Machine learning tools support the generation of predictive models, and Automated Actions enable fast responses to opportunities and threats
Fast Data Ingestion and Integration
IoT Analytics solutions require advanced data ingestion and integration to process the huge speed and volume of data that typically flows in IoT. The platform’s Fast Data Ingestion provides a rich set of tools for accessing, parsing, transforming and integrating the three major types of data found in IoT scenarios:
- IoT data from sensors, devices, and other telemetry data
- Traditional Enterprise Data from systems like CRM and ERP
- Cloud & Public Data sources such as weather or traffic
Open IoT Data Lake with Elastic Query Service
The volume and speed of data in IoT Analytics require a level of scalability and elasticity that goes well beyond traditional enterprise data systems. VIA’s Open IoT Data Lake provides the open, scalable data services required to support the complete analytics life-cycle: raw data ingestion, data enrichment, data exploration, model building, and analytics processing. Data at all stages are captured, stored, secured, and curated, along with its appropriate metadata. An Elastic Query Service supports access by IoT applications, self-service analytics, and 3rd party data consumers via SQL standards.
Agile Analytics
VIA analyzes data in real-time from any device, including IoT sensors and applications. The VIA platform supports historical, predictive and prescriptive analytics providing operations and the lines of business they support a way to transform data from many sources and the streaming data from IoT into near real-time actions that improve business outcomes.
VIA Analytic Data Flow (ADF) provides a comprehensive visual development environment that empowers developers and business analysts to rapidly create analytics solutions using visual models that require little or no coding.
VIA provides one platform for all your data needs:
- For streaming data, VIA provides Fast Real-Time Analytics including contextual awareness and situational intelligence using descriptive analytics, multidimensional analysis, pattern matching, anomaly detection, trend analysis, and behavioral analytics.
- For batch data VIA provides Historical Analytics including historical KPIs and baselines, and auto-regression and time-series analysis, yielding historical context required for real-time analysis and machine learning.
- Machine learning algorithms operating against the Open Data Lake required for predictive and prescriptive analytics models.
- Rapid operationalization of Analytics Models in streaming or historical analysis modes.
- Multi-dimensional time-series analytics for pattern detection and trend analysis.
- Complex IoT analytics processing is specified via a visual “flow language” that empowers developers and analysts to rapidly create analytic processing flows graphically with no coding.
Visual Analytics
VIA’s Visual Analytics provide an easy and fast way for Operations and Business Analysts to explore and visualize analytical results, identify key relationships, spot anomalies, test hypotheses, and diagnose problems – ensuring the right decision and the right action at the right time.
Intelligent Actions & Automation
Timely action is the critical final step in creating value in IoT. Predictive and prescriptive analytics can trigger Intelligent Actions within VIA’s process automation suite. VIA supports both fully automated processes and human-guided workflows. VIA intelligent actions are analytics-driven, situationally aware, and adaptive.
Platform Essentials
VIA employs a mix of open source and proprietary technologies that support elastic, scalable Analytics for streaming and batch data. The VIA platform employs:
- Hadoop’s HDFS and Hive for storing massive amounts of data,
- Spark and Spark Streaming for scalable processing
- Kafka for scalable ingestion.
Vitria integrates these discrete technologies and adds enterprise-class security and holistic lifecycle management to make VIA a robust platform to build, manage, and secure even the most mission-critical initiatives including extracting value from IoT applications.
Vitria is constantly integrating new versions of foundational components seamlessly. Vitria has a history of fast and agile development and replaces the risk of DIY experimentation with the reliability and security of a supported and evolving solution.
Service Operations Management
Improve customer experience, increase service levels, and capture employee productivity through insight and analytics that enable faster action and transform operational performance.
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Real- time Performance Monitoring
Improve Quality of Service through real-time performance monitoringDeploy VIA to monitor and measure Quality of Experience (QoE) and Quality of Service (QoS) in real-time and easily spot anomalies to improve performance.
- VIA processes streaming data in millions of events per second with sub second processing latency
- Real-time streaming data combined with historical data provides contextual awareness and situational intelligence.
- Visual analytic tools accelerate business insight in spotting anomalies and out of compliance indicators.
- Dash Board Builder enables you to rapidly create interactive visual dashboards for your KPIs with drill down capabilities
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Incident Lifecycle Management
Accelerate issue resolution through faster detection and automationAccelerate the time from incident detection to quality restoration and issue resolution by improving issue detection, prioritizing and automating root cause analysis, then taking remedial action automatically.
- VIA detects complex customer-impactful incidents faster by leveraging advanced methods of anomaly detection in granular populations to uncover difficult to detect issues (false negatives)
- Advanced anomaly detection and machine learning reduces alarm and alert noise delivering a single intelligent alert
- Integration with downstream systems enables checking on existing incidents/alerts to prevent redundancy
- VIA accelerates root cause discovery through machine learning and analysis of the association of attributes-to-events to identify potentially impacted entities to help narrow down the root cause.
- Incident command center shows the real-time incident impact and predictive analysis supports prioritization of issues for resolution to maximise quality of service.
- Actions can be prescribed and implemented automatically for remediation by applying machine learning to historical incident data to determine possible remedial actions and Integrating with 3rd party systems to automatically prescribe actions or workarounds.
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Predictive Maintenance
Improve availability through predictive analyticsAccurately predict when maintenance should be performed to avoid failure or degraded performance lowering cost while maintaining availability and avoiding downtime
- VIA ingests and integrates streaming sensor data on actual equipment performance and environmental factors such as climate changes or temperature with enterprise resource planning (ERP) systems, computerized maintenance management systems (CMMS), and production data.
- Predictive analytics and machine learning are applied to this integrated data to predict failures so that you can be alerted to issues and address them proactively through a visual dashboard.
- Key performance indicators can be monitored in real time and predictive alerts automatically delivered to define areas requiring attention.
- Data driven analytics displayed through the visual dashboard improves the efficiency and effectiveness of your staff allowing you to improve maintenance planning.
Deploy VIA to monitor and measure Quality of Experience (QoE) and Quality of Service (QoS) in real-time and easily spot anomalies to improve performance.
- VIA processes streaming data in millions of events per second with sub second processing latency
- Real-time streaming data combined with historical data provides contextual awareness and situational intelligence.
- Visual analytic tools accelerate business insight in spotting anomalies and out of compliance indicators.
- Dash Board Builder enables you to rapidly create interactive visual dashboards for your KPIs with drill down capabilities
Accelerate the time from incident detection to quality restoration and issue resolution by improving issue detection, prioritizing and automating root cause analysis, then taking remedial action automatically.
- VIA detects complex customer-impactful incidents faster by leveraging advanced methods of anomaly detection in granular populations to uncover difficult to detect issues (false negatives)
- Advanced anomaly detection and machine learning reduces alarm and alert noise delivering a single intelligent alert
- Integration with downstream systems enables checking on existing incidents/alerts to prevent redundancy
- VIA accelerates root cause discovery through machine learning and analysis of the association of attributes-to-events to identify potentially impacted entities to help narrow down the root cause.
- Incident command center shows the real-time incident impact and predictive analysis supports prioritization of issues for resolution to maximise quality of service.
- Actions can be prescribed and implemented automatically for remediation by applying machine learning to historical incident data to determine possible remedial actions and Integrating with 3rd party systems to automatically prescribe actions or workarounds.
Accurately predict when maintenance should be performed to avoid failure or degraded performance lowering cost while maintaining availability and avoiding downtime
- VIA ingests and integrates streaming sensor data on actual equipment performance and environmental factors such as climate changes or temperature with enterprise resource planning (ERP) systems, computerized maintenance management systems (CMMS), and production data.
- Predictive analytics and machine learning are applied to this integrated data to predict failures so that you can be alerted to issues and address them proactively through a visual dashboard.
- Key performance indicators can be monitored in real time and predictive alerts automatically delivered to define areas requiring attention.
- Data driven analytics displayed through the visual dashboard improves the efficiency and effectiveness of your staff allowing you to improve maintenance planning.
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