VITIRA VIA Analytics Platform in IoT Analytics

VITIRA VIA Analytics Platform
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2017
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VITIRA VIA Analytics Platform USP

Vitira's platforms offer enhanced customer experience by deliverng a resilient and predictable infrastructure for service delivery that reduces churn and cost of managing increasingly complex environments. The platforms easily manage streaming or batch data from disparate devices and help users in deploying ML and augmented intelligence using VIAs drag and drop libraries. Also, they automate processes and workflows like anomaly detection, incident lifecycle automation, dynamic change management, dynamic failure prediction. Request VITIRA VIA Analytics Platform Pricing to get more information.

Summary

Vitira offers VIA Digital Operations Suite, which leverages VIA’s low code, big data analytics, including the pre-assembled templates. It also offers an agonistic collection of interfaces, pre-built data visualization and schema, applied AI, intuitive GUI components and workflow automation functions; VIA AIOps Platform facilitates Ops teams to identify the signals that hint towards a single problem, identify the possible root cause with the speed and accuracy; BusinessWare is an integration platform for complex business processes such as order fulfillment, supply chain interactions, insurance claims processing, and financial transactions.

360 Quadrants

Strengths and Weaknesses
  • +10 Batch Data Processing
  • +12 Directly
  • +11 Real-time Streaming Data Processing (Data-in-Motion)
  • +13 Through Partners / Third-Party Vendors
  • +6 Semi-Structured Data
  • +5 Structured Data
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +7 On-Premise
  • +10 Descriptive Analytics
  • +11 Diagnostics Analytics
  • +12 Predictive Analytics
  • +13 Prescriptive Analytics
  • +9 Databases
  • +12 Remote Support
  • +10 Servers (such as Hadoop, Apache)
  • +8 Operations/Production
  • +11 Per User Basis
  • +9 Product Development
  • +10 Subscription / Licensing
  • -8 Microsoft Corporation Office (including Spreadsheet)
  • -11 On-Site Support
  • -7 Programming Language (such as R, Python, Java)
  • -11 Any other Integration type
  • -11 Customer Service
  • -6 Finance
  • -9 Full Time Equivalent
  • -7 Human Resources (HR)
  • -5 Marketing
  • -14 Sales
  • -8 Charts and Graphs
  • -9 Data Profiling
  • -6 Location
  • -10 Master Data Management (MDM)
  • -12 Protocols for Data Collection (such as LAN, DNP3, SCADA, etc.)
  • -5 Speech/Audio
  • -6 Visualization on Mobile Devices
  • -13 Any Other Data Preparation Features
  • -9 Any Other Data Presentation Features
  • -7 Other Data formats
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