Master’s Capstone Project: Measuring Membership & Impact
![(Image of PDF) This analysis looked at: 29 years of Membership Records, 18 years of Financial Contributions, [...]. To answer questions like: "The top X% of donors represent what percent of donations?" "How long until friends become members? Is there a good time to check in?" "How long do members typically remain a member?" "How are members engaging with programs?" "How has the age of members changed over time?" "How has the age of donors changed over time?" "Is there a gap between how older and younger members are financially contributing to the Center?" Abstract How often do organizations you know make decisions based on gut instinct? This project brings the numbers to measure if the organization is having the impact it intends. By combining data analytics techniques with information from events, contributions, and the member database, we can understand how members are engaging with the organization over time – how their relationships with the organization have changed, how they are interacting with programs, and how they are giving back to the organization. This information can validate and improve the organization's understanding, and thus ability to serve, its constituents – ensuring the longevity of the organization.](data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%203000%202000'%3E%3C/svg%3E)
I did a data analytics project with a nonprofit as part of completing my Master’s degree. This project was both the largest breadth and depth of any analysis done by the organization to date, looking at everything from basic membership statistics to attendance at major events to financial contributions. The largest outcome from this was…
Smithsonian Collections
This project is an interactive dashboard visualization of the Smithsonian Institute’s Smithsonian Open Access dataset, which contained 11.9 Million Records at time of. The dashboard allows insight into the composition of the Smithsonian’s collections, including what, when, and where items come from. Specifically, the visualization looks at the unit (such as the National Museum of…
Cleveland Museum of Art Collections
This project is a narrative visualization seeking to interpret some of the information that can be obtained by looking at a museum’s collections. The dataset contains about 62,000 records including data like department, type (such as “print” or “jewelry”), and whether the item is on display.
![(Image of PDF) This analysis looked at: 29 years of Membership Records, 18 years of Financial Contributions, [...]. To answer questions like: "The top X% of donors represent what percent of donations?" "How long until friends become members? Is there a good time to check in?" "How long do members typically remain a member?" "How are members engaging with programs?" "How has the age of members changed over time?" "How has the age of donors changed over time?" "Is there a gap between how older and younger members are financially contributing to the Center?" Abstract How often do organizations you know make decisions based on gut instinct? This project brings the numbers to measure if the organization is having the impact it intends. By combining data analytics techniques with information from events, contributions, and the member database, we can understand how members are engaging with the organization over time – how their relationships with the organization have changed, how they are interacting with programs, and how they are giving back to the organization. This information can validate and improve the organization's understanding, and thus ability to serve, its constituents – ensuring the longevity of the organization.](https://www.ctmartin.dev/wp-content/uploads/martin-SP24-capstone-web-1mb.png)
