In this series of talks, we will discuss best practices for putting together an analytics framework for different aspects of Non-Profit operations including fundraising, donor management and donor retention.
Événements de cette collection
Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics
Thu, Sep 25, 10:00 AM EDT
Gratuit
Using AI to Generate Synthetic Customer Data -- Business Applications
Fri, Jun 6, 11:00 AM EDT
Gratuit
Prospecting Models for Household Item Donations
Thu, Feb 27, 2:00 PM EST
Gratuit
Using Cloud-based technology for cost effective Non-Profit Analytics
Wed, Feb 12, 2:00 PM EST
Gratuit
Machine Learning Approach to Identifying High Value Donors
Thu, Jan 16, 2:00 PM EST
Gratuit
Using Cloud-based technology for cost effective Non-Profit Analytics
Thu, Sep 5, 3:00 PM EDT
Gratuit
Machine Learning Approach to Identifying High Value Donors
Thu, Apr 18, 2:00 PM EDT
Gratuit
Leveraging Donor Giving Cycle for Effective Fundraising and Retention
Mon, Dec 11, 1:00 PM EST
Gratuit
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Thu, Aug 10, 1:00 PM EDT
Gratuit
A Machine Learning Approach to Activating Lapsed Donors
Thu, Jun 29, 1:00 PM EDT
Gratuit
Leveraging the Donor Giving Cycle for a Non-Profit
Thu, May 18, 1:00 PM EDT
Gratuit
Leveraging the Donor Giving Cycle for a Non-Profit
Thu, Dec 15, 1:00 PM EST
Gratuit
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Thu, Dec 8, 1:00 PM EST
Gratuit
Leveraging the Donor Giving Cycle for a Non-Profit
Tue, Nov 8, 1:00 PM EST
Gratuit
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Tue, Nov 1, 1:00 PM EDT
Gratuit
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Tue, Sep 6, 1:00 PM EDT
Gratuit
Leveraging the Donor Giving Cycle for a Non-Profit
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.