Customers

The Teradata Aster Discovery Platform is the market-leading big data analytics solution. This big analytics & discovery platform utilizes Aster's patented SQL-MapReduce┬« to parallelize the processing of data and applications and deliver rich analytic insights at scale. From applications like fraud detection, customer intelligence, trending & forecasting to scenario modeling, customer personalization and targeting, and click stream analysis — it is evident that enabling big analytics and discovery has a material impact on the business.

Companies including Barnes & Noble, Limited Brands, Aurora Healthcare, LinkedIn, and Gilt Groupe use Teradata Aster to deliver value from big data for digital marketing optimization, social network and relationship analysis, and data science.

  • Comcast

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • Dell

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • XL

    XL

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • Wells Fargo

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • Senshukai

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • Otto Group

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • Barnes&Noble

    Barnes & Noble

     Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. 

    Marc Parrish,

    VP, Retention and Loyalty Marketing,
    Barnes & Noble

  • Gilt Groupe
  • Razorfish
  • Aurora Health Care
  • Zazzle
  • Supervalu
  • Machinima

    myspace

     Integrating Aster Data and including them from the very beginning in the project ... is what allowed that to be the most successful data warehouse implementation we’ve had to date... We should definitely use it as a blueprint for any future implementations we do. 

    Christa Stelzmuller,

    Chief Data Architect, MySpace

  • Intuit
  • Edmodo
  • US Air Force

    US Air Force

    GCN Article
    SAS Article

  • Orchard Supply Hardware
  • InsightExpress

    InsightExpress

     Every month we have billions of ad impressions coming into our servers that we need to analyze for our clients. By moving to an in-house solution with Aster Data, we have been able to run advanced analytical queries on big data and provide insights in as close to real-time as possible. This speed is an extreme value-add, both to us as a company and to our customers, as we help them optimize marketing initiatives across all media channels. 

    Marc Ryan,

    SVP, Chief Research Officer, InsightExpress

  • SAS

    SAS

  • Chegg
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The Best Insights Possible
White Paper: A Revolutionary Approach for Advanced Analytics and Big Data Management
White Paper: Using Multi-Touch Attribution for Deeper Insight in the Customer Journey
Now that all our data is in one place, we can understand customer interactions across our entire [retail/ online/e-reader] ecosystem. (MapReduce helps researchers) see trends more quickly than possible in systems only using massively parallel processing.

Barnes&Noble
Marc Parrish, Vice President,
Direct Marketing