Sammlung
Subscription Analytics Jigyasa Analytics has extensive experience in the publishing industry and this collection will focus on data science topics relevant for the industry.
Events in dieser Sammlung Anstehend (1) Abgeschlossen (10)
Improving Subscriber Churn Models with Synthetic Data Thu, Jan 22, 11:00 AM EST
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Beyond One-Size-Fits-All: Building Smarter Product Recommendations for Subs Thu, Nov 20, 11:00 AM EST
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Dieses Event speichern: Beyond One-Size-Fits-All: Building Smarter Product Recommendations for Subs
Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics Wed, Nov 5, 10:00 AM EST
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Dieses Event speichern: Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics
Using AI to Generate Synthetic Customer Data -- Business Applications Fri, Jun 6, 11:00 AM EDT
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Dieses Event speichern: Using AI to Generate Synthetic Customer Data -- Business Applications
Using AI to Generate Synthetic Customer Data Thu, Jun 5, 11:00 AM EDT
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Dieses Event speichern: Using AI to Generate Synthetic Customer Data
Predicting Subscriber Churn Wed, May 14, 11:00 AM EDT
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Dieses Event speichern: Predicting Subscriber Churn
Predicting Subscriber Churn Thu, Apr 3, 11:00 AM EDT
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Dieses Event speichern: Predicting Subscriber Churn
Customer Churn Models for Magazine and Newspaper Publishing Thu, Apr 25, 2:00 PM EDT
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Dieses Event speichern: Customer Churn Models for Magazine and Newspaper Publishing
Subscriber Analytics: Best Practices from the Magazine Industry Thu, Apr 4, 2:00 PM EDT
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Dieses Event speichern: Subscriber Analytics: Best Practices from the Magazine Industry
Magazine Subscriber Analytics: Best Practices from Machine Learning and Data Science Part 2 Wed, Dec 13, 1:00 PM PST
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Dieses Event speichern: Magazine Subscriber Analytics: Best Practices from Machine Learning and Data Science Part 2
Magazine Subscriber Analytics: Best Practices from Data Science Thu, Dec 7, 1:00 PM EST
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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.