PARKVIEW ANALYTICS

CLOUD-BASED DATA ANALYTICS SOLUTION FOR R&D

Keep your big data scalable and create the right visualization and workbench customized for your business needs.

Reduce R&D test & analysis cycle time by up to 75%

 

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A DATA SCIENCE PLATFORM ACROSS THE DEVELOPMENT LIFECYCLE

Tomorrow’s big breakthroughs will come from deep, dynamic pools of reliable data that can be visualized in meaningful ways. ParkView Analytics eliminates manual processing, simplifies storage, enables analysis using the latest technologies, and provides continuous anytime access.

THE PARKVIEW ANALYTICS TOOL STANDS FOR

  • Web first and cloud native
    Reliable and reproducible data processing and visualization at any scale
  • Focus on value-add rather the added value
    Increase productivity by leveraging proven state-of-the-art tools
  • Automating everything
    Infrastructure as code powered by GitOps
  • Privacy and trust by default
    Build in security tests & checks from the start
  • Enabling predictive analytics, data mining and AI/ML
    Enhanced data intelligence and secondary use of data



ANALYZE WHAT MATTERS IN R&D

Test Data Processing & Analysis
  • Experimental data must be accessible to remote teams in a timely manner
  • Data sources are increasingly heterogeneous with different types and formats
  • Effective processing and analysis of test data requires immediate access to state-of-the-art methodologies, tools, and libraries
 
Machine Generated Data
  • Increasing amounts of information generated continuously by computer processes and machines must be captured and processed
  • Examples include metrics and logs from IoTs, messages from service endpoints, and APIs
 
Verification & Validation
  • Regulatory requirements demand robust data analysis and documentation processes
  • Verification requires efficient methods to map data reports to design requirements
  • Validation requires effective compilation of data evidence and demonstration of compliance with required features
 
User Behavior
  • Increase user satisfaction by enhancing product functionality or improving system usability
  • Continuously capture and analyze interaction data to gain valuable insights into user behavior
 
Product Engineering Lifecycle
  • Product lifecycle management processes should be data-driven
  • System performance must be constantly monitored throughout deployed lifetime
  • Automated data collection and logging in the cloud significantly improves visibility and provides invaluable insights
 
Software Bill of Materials (BOM)
  • Today´s complex software systems require significant dependency management efforts
  • Automated software supply chain analysis will dramatically reduce the processing burden
 
Software Development Process
  • Software system under development by multiple remote teams requires constant monitoring to maximize efficiency
  • Metadata analysis of anonymized repository servers provides deep insight into progress and resource utilization
 
Scale Up and Scale Out
  • Increasing demands on your system, from the number of users to compute resource requirements to new data types or volumes and emerging technologies
  • Scaling must be able to handle such diverse requirements within anticipated investment and time constraints
 

4 STEPS APPROACH: FROM UNSTRUCTURED DATA INTO VALUABLE KNOWLEDGE

Extract
  • Get started in minutes
  • Collect & clean data from any source
  • No hidden costs or paywalls
Explore
  • Explore your data interactively
  • Process and visualize your data
  • Review at any place, any time
Exploit
  • Leverage data insights
  • Increase productivity in all your processes​
  • Empower experts with low-code tooling
Expand
  • Scale your data for AI & ML
  • Better data intelligence and secondary use
  • Grow your user base easily


Showcase

ParkView is a toolset for building your own technology-neutral data visualization and processing platform in the cloud for analytics, data mining, and AI & ML.


Benefits

  • Technology-neutral visualization and processing of data and metadata
  • Improve productivity across all development processes
  • Transparent data review anywhere, anytime
  • Reuse data for predictive analytics, statistics, data mining, and AI & ML
  • Enhance data intelligence and secondary use of data



TAKE THE NEXT STEP WITH US –
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