Maximizing Fundraising Efforts by Leveraging Data Science & Machine Learning

Presenters: Arup Banerjee, CEO, Windfall, Ben Weber, Lead Data Scientist, Windfall
Year: 2018
Price: Members: $0, Non-Members: $39
Body of Knowledge Domains: Prospect Research, Data Analytics, Campaigns

Competencies and Levels: 

Prospect Research:

  • Competency 1: Information Management/Records Management
  • Competency 2: Prospect Research Essentials
  • Competency 4: Utilizing Research Resources
  • Competency 5: Financial Capacity Evaluation and Wealth Indicators
  • Competency 6: Prospect Interests and Networks/Relationships
  • Competency 7: Screenings
  • Competency 9: Organization and Fundraising Knowledge
  • Competency 10: Research and Campaign

Data Analytics:

  • Competency 3: Data Manipulation Skills
  • Competency 4: Statistical Techniques and Competencies
  • Competency 5: Visualization/Reporting Techniques and Competencies
  • Competency 7: Fund Raising Knowledge
  • Competency 8: Analytics and Campaign

Campaigns:

  • Competency 5: Prospect and Portfolio Management
  • Competency 6: Campaign Analytics, Reporting and Data Management

Do you want to leverage data to better inform your organization’s strategy and efforts? Do you have broad sets of data but only use traditional analytics and dashboards? Is it hard to free up technical resources to help you work on your next large initiative? In this webinar, Windfall’s CEO, Arup Banerjee, and Lead Data Scientist, Ben Weber, will provide a primer on data science principles and how you can apply them in your organization without a data scientist. Whether it is maximizing your donor relationships or converting prospects to major gift donors, data science can unlock hidden gems and better align organizations.

During the webinar, you will learn: how to take your existing database (1st party data) and combine it with external data sources (3rd party data), the basic frameworks for data science, how to define parameters to optimize for your organization’s goals, and how to build a robust model without writing a single line of code!

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