Monday, May 21st

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Corporate & Government

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Corporate & Government Systems Applications

Panopticon's visual data analysis software is designed to work with virtually any type of data. Customers in a wide range of industrial and government applications use our tools to monitor and analyze performance data for technical systems, sales, supply chain management, manufacturing, and more.

Most corporate and government users must make decisions based on data that share similar characteristics in terms of volume, throughput and complexity. Panopticon's ability to handle real-time streaming feeds as well as historic time series information stored in column-oriented databases and standard relational databases makes it an excellent fit for these type of use cases:

Consumer Brands & Retailing

  • Client & product profitability
  • Order management
  • Inventory analysis
  • Out-of-Stock analysis
  • Store revenue analysis
  • Sales performance monitoring

Infrastructure

  • Availability & performance monitoring
  • Building maintenance monitoring

Media

  • Readership analysis
  • Demographic analysis
  • Sales analysis

Business Services

  • Project management analytics

Travel & Hospitality

  • Airline performance dashboarding
  • Hotel bookings & room utilization analysis

Healthcare

  • Epidemic monitoring
  • Geographic epidemiology
  • Gene expression microarray analysis

Politics

  • Election results analysis
  • Demographic voting analysis

Charity

  • Pledge & donation analysis

Critical features required for Industrial and Government Systems applications

Panopticon's OLAP-enabled data visualization tools are integral parts of many business intelligence, reporting, monitoring, and analysis systems in corporate and government facilities.Panopticon's OLAP-enabled data visualization tools are integral parts of many business intelligence, reporting, monitoring, and analysis systems in corporate and government facilities. All Panopticon products support the key functions required to support a huge range of usage scenarios with corporate and government data, including:

  • Dynamically query data warehouses and retrieve aggregated data sets
  • Dynamically change hierarchies and aggregate values
  • Aggregation and netting
  • Perform calculations at every level in the data hierarchy
  • Interpolation between known values
  • Time window and time period analysis to identify deltas and changes between time periods
  • Time snapshot selection to drill into performance spikes
  • Visualize trends, clustering, correlations, and outliers

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