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Data mashups skyhook

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  • 1. Skyhook’s Location Platform: Precision Positioning at Global Scale 1 (c) Skyhook Wireless, Inc. 2013 - Confidential 1,000,000,000 Sensor Points 13,500,000 Cell Towers 50,000,000+ Devices 200+ Countries 850,000,000 People Covered Many Billions Location Transactions / month Geography and Population Volume WiFi Access Points
  • 2. Fueled by Big Data Skyhook surveys with proprietary scanning devices to establish baseline coverage • High Precision Data • Low Update Frequency • Errors Generally Random Diverse consumer devices return a constant stream of feedback data • Extremely Variable Quality • Very High Update Frequency • Errors Follow Multiple Distributions Service providers, institutions, and individual users submit data about their own networks • Typically High Quality • Sporadic Batch Delivery • Errors Often Systematic or Malicious
  • 3. Key Insights Detect Pathological or Malicious Data Sources • Any data source can develop problems • Filter out bad actors and model larger-scale patterns Characterize Data Quality at Source and Sample Level • Use side information to inform data classes • Use empirical data to create quantitative metrics Build Algorithms for Variable Quality Data • Leverage quality metrics in “soft” algorithms • Plan for and handle outliers Review, Refresh, and Recalibrate • Systems will change and drift over time • Constantly re-evaluate parameters and assumptions