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.
Händelser i denna samling
Unlocking Insights: AI & Synthetic Data in Donor and Subscription Analytics
Thu, Sep 25, 10:00 AM EDT
Gratis
Using AI to Generate Synthetic Customer Data -- Business Applications
Fri, Jun 6, 11:00 AM EDT
Gratis
Prospecting Models for Household Item Donations
Thu, Feb 27, 2:00 PM EST
Gratis
Using Cloud-based technology for cost effective Non-Profit Analytics
Wed, Feb 12, 2:00 PM EST
Gratis
Machine Learning Approach to Identifying High Value Donors
Thu, Jan 16, 2:00 PM EST
Gratis
Using Cloud-based technology for cost effective Non-Profit Analytics
Thu, Sep 5, 3:00 PM EDT
Gratis
Machine Learning Approach to Identifying High Value Donors
Thu, Apr 18, 2:00 PM EDT
Gratis
Leveraging Donor Giving Cycle for Effective Fundraising and Retention
Mon, Dec 11, 1:00 PM EST
Gratis
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Thu, Aug 10, 1:00 PM EDT
Gratis
A Machine Learning Approach to Activating Lapsed Donors
Thu, Jun 29, 1:00 PM EDT
Gratis
Leveraging the Donor Giving Cycle for a Non-Profit
Thu, May 18, 1:00 PM EDT
Gratis
Leveraging the Donor Giving Cycle for a Non-Profit
Thu, Dec 15, 1:00 PM EST
Gratis
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Thu, Dec 8, 1:00 PM EST
Gratis
Leveraging the Donor Giving Cycle for a Non-Profit
Tue, Nov 8, 1:00 PM EST
Gratis
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Tue, Nov 1, 1:00 PM EDT
Gratis
PDISM Scores: A Machine Learning Approach to Boost Fundraising Results
Tue, Sep 6, 1:00 PM EDT
Gratis
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.