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Scott Robinson: Data as a Service
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Scott Robinson: Data as a Service






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    Scott Robinson: Data as a Service Scott Robinson: Data as a Service Presentation Transcript

    • Data as a Service
      • Scott Robinson
      • Director – Global Data Products
      • Pitney Bowes Business Insight
      • September 24, 2009
    • Agenda
      • Evolution of Location Intelligence
      • The Need for DaaS
      • SaaS and DaaS
      • Use Cases
      • Delivering DaaS
    • LI Evolution
    • What does LI for the Masses encompass?
      • Web mapping
      • Navigation (Personal, Auto)
      • Information services (Navigation, alerts, POI lookup)
      • LBS – advertising, commerce
      • SaaS – GIS in the Cloud
      • Real time data/analytics
      • 3D maps, high quality imagery
      • Predictive modeling for geoactivity
      • Mobile resource management
      • Entertainment/games
      • LI focused Social networking
      • Personal security (tracking, locate kids, emergency assistance)
      • Open source mapping
      • User generated content
      • Geotagging
      • Geosearch/communities
      • Vertical content networks
      • iPhone, Android, Blackberry apps
      Hundreds of companies, thousands of applications
    • The Need for DaaS
      • The key value of Location Intelligence for business and government is making informed, accurate, and timely decisions based on Location.
      • This requires access to data and information about location that is fit for purpose, both in data quality, and data currency.
      • Location Intelligence is a fusion of both the data and the software used to analyse and visualize it. Having both available, on demand is critical to making the best decision.
    • The Need for DaaS
      • It has become clear that today’s mapping and GIS end users do not want to be concerned with the typical complexities about spatial information:
          • Getting the data off disk, or media
          • Converting it into a format they can access
          • Its projection schemes, its styles, its data model, or combining data from other sources
    • SaaS and DaaS
      • Software as a Service (SaaS)
      • No need for end user to build infrastructure on which to deploy, access and maintain the software.
      • One version of the software running, and the end user does not need to worry about downloading updates or patches.
      • End user subscribes via on-demand licensing, only paying for what is required in order to access the software, for the time it is used.
    • SaaS and DaaS
      • Data as a Service (DaaS)
      • Consumer gets the latest data if that’s what they need, delivered to them on-demand, integrated into their analytic workflow.
      • Accessed anywhere
      • Potential to derive value more easily/quickly
    • Add Spatial to Get an Answer
      • User opens desktop application or browser
      • Import Excel spreadsheet of stores/customers
      • Send to DaaS
      • Options for addresses (geocode & clean; base map data with x mile radius around stores; add demographic data with 30 mile radius; draw 25 minute drivetime -> return as map layers I can view or just perform operational transactions)
      • Connect into Acxiom consumer list for purchase
      • Delivered to desktop, web (export to JPEG or KML), deliver to share, append and save to flat file, XML, metadata, to cloud
      Use Cases
    • Insurance/Risk
      • Insurance analyst in mapping software, using base data that comes with program
      • The user engages with a DaaS Toolbar (i.e. onebox), and types “ Insurance Risk data ”, the location of where I am in my map window is identified and the search returns risk data for that geography from catalog
      • Types of risk data presented as options (flood, windpool, earthquake)
      • Next to each dataset are 2 options (preview, buy)
      • When I click preview -> (1) browser window opens and I see coverage areas, could have map or not, separate from your active map window; and/or (2) add as preview layer in your current map window (raster)
      • Ability to buy and complete full download
      Use Cases
    • Delivering DaaS
      • Access
      • Use
      • eCommerce
    • Delivering DaaS - Access
      • Create/build Catalog
      • Can be accessed anywhere, anytime by any device (PC, phone, etc…)
      • Catalog searchable in many ways
      • Catalog should contain the most current data assets, but can also store historically relevant data to allow for time series analysis
      • All elements of the data catalog available for on-demand download of whole files or subsets, bundles, variables
      • Try before you decide
    • Delivering DaaS - Use
        • Natural follow up to access
        • Assist customers in deriving value – right now they are responsible
              • Analysis on-demand; Answers on-demand
        • Take advantage of cloud power to ask questions that have never been asked
      • Data Integration/transformation
          • Transparency with formats
          • On-demand transformations
    • Delivering DaaS - eCommerce
      • Billing & Subscriber Mgmt
      • Single landing spot for 3 rd party content
      • Opportunity for new pricing models
        • Limited term licensing
        • Data vending
    • Questions?
      • Thank You