VIA IoT Analytics Platform #marketing #analytics #platform

#

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.

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.

VIA 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

Key Capabilities

  • IoT Applications provide easy access to common IoT tasks, such as defining KPIs, via self-service tools.
  • 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 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.

Advanced Analytics

Advanced Analytics

VIA’s Advanced Analytics executes fast analytics in real-time to provide the context and insight needed for the fast decision-making required in IoT. VIA’s advanced analytics includes all the key types of analytics – real-time, historical, predictive, and prescriptive – needed for IoT.

Its key capabilities include:

  • Fast Real Time Analytics (Streaming) providing contextual awareness and situational intelligence using descriptive analytics, multidimensional analysis, pattern matching, anomaly detection, trend analysis, and behavioral analytics.
  • Historical Analytics (batch) providing historical KPIs and baselines, and autoregression and time-series analysis, yielding historical context for real-time analysis and machine learning.
  • Machine learning algorithms over your Open IoT Data Lake for producing predictive and prescriptive analytics models.
  • Rapid operationalization of Analytics Models to support real-time Predictive and Prescriptive Analytics, running in real-time or over historical data.
  • 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

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

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, which supports both fully automated processes and human-guided workflows enabling intelligent business processes that are analytics-driven, situationally aware, and adaptive.

Open IoT Data Lake with Elastic Query Service

Open IoT Data Lake with Elastic Query Service

The volume and speed of data in IoT Analytics requires 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.

Fast Data Ingestion & Integration

Fast Data Ingestion & 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

Foundation

Foundation

Underlying the VIA analytics platform are a mix of open source and proprietary technologies that support elastic scalable IoT Analytics. The platform’s Foundation includes Hadoop’s HDFS and Hive for storing massive amounts of data, Spark and Spark Streaming for scalable processing, and Kafka for scalable ingestion. Vitria has integrated these discrete technologies and added enterprise-class security and holistic lifecycle management to make this a robust Foundation to build, manage, and secure even the most mission-critical IoT applications. Vitria is constantly integrating new versions of foundational components seamlessly, so that your IoT solutions work better and faster – future-proofed for the rapid-pace of innovation.

Use Cases

Our platform addresses critical use cases across industry verticals such as utilities, high tech manufacturing, telecommunications, and more.


  • Predictive Maintenance
    Maintain, manage, and optimize equipment & machines with foresight – address problems before they occur.

  • Outage Management
    Act rapidly to prevent and minimize outages before they create major business interruptions.

  • Fraud Detection
    Detect and prevent fraud in real-time to shut it down before it destroys business value and major operational disruption.

  • Demand/Supply Optimization
    Balance demand and supply in complex operations. Satisfy customers while maintaining an efficient supply chain.

  • Customer Engagement
    Deliver a customized experience for your customers to meet the demands of today’s customer-driven service environment.

  • Predictive 1:1 Marketing
    Deliver the right message to the right customer at the right time. Expand revenue and generate loyalty.

Read more about how to get value from loT Analytics for
your business with vitria’s loT Analytics value chain

Resources





Leave a Reply

Your email address will not be published. Required fields are marked *