Collection

Subscription Analytics

Jigyasa Analytics has extensive experience in the publishing industry and this collection will focus on data science topics relevant for the industry.

Les événements de cette collection

  • Image principale de Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics

    Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics

    Thu, Sep 25, 10:00 AM EDT

    Libre

  • Image principale de Using AI to Generate Synthetic Customer Data -- Business Applications

    Using AI to Generate Synthetic Customer Data -- Business Applications

    Fri, Jun 6, 11:00 AM EDT

    Libre

  • Image principale de Using AI to Generate Synthetic Customer Data

    Using AI to Generate Synthetic Customer Data

    Thu, Jun 5, 11:00 AM EDT

    Libre

  • Image principale de Predicting Subscriber Churn

    Predicting Subscriber Churn

    Wed, May 14, 11:00 AM EDT

    Libre

  • Image principale de Predicting Subscriber Churn

    Predicting Subscriber Churn

    Thu, Apr 3, 11:00 AM EDT

    Libre

  • Image principale de Customer Churn Models for Magazine and Newspaper Publishing

    Customer Churn Models for Magazine and Newspaper Publishing

    Thu, Apr 25, 2:00 PM EDT

    Libre

  • Image principale de Subscriber Analytics: Best Practices from the Magazine Industry

    Subscriber Analytics: Best Practices from the Magazine Industry

    Thu, Apr 4, 2:00 PM EDT

    Libre

  • Image principale de Magazine Subscriber Analytics: Best Practices from  Machine Learning and Data Science Part 2

    Magazine Subscriber Analytics: Best Practices from Machine Learning and Data Science Part 2

    Wed, Dec 13, 1:00 PM PST

    Libre

  • Image principale de Magazine Subscriber Analytics: Best Practices from Data Science

    Magazine Subscriber Analytics: Best Practices from Data Science

    Thu, Dec 7, 1:00 PM EST

    Libre

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Organisateur de Subscription Analytics
JigyasaAnalyticsis an  Analytics Solutions firm based out of New Jersey, USA.We  have expertise in developing solutions for business problems in the areas of  Predictive Modeling,  Modeling Deployment, Business Intelligence, Commercial Lending Analytics, Scorecard Development, Customer/Donor  Acquistion Analytics, Cross Sell, Retention, Managing Donor Cycel, Identifying High Value Donors,Survey Design ,Marketing Mix Modeling, Marketing Optimization, Product  Analytics, Pricing, Risk and  Forecasting.