Data Science

Note some products are tagged by multiple domains and may display a different domain image. 

Search by Format
Search by Type
Sort By
  • Contains 1 Component(s)

    Three years into revolutionizing their annual fundraising goal-setting process, Syracuse needed a way to produce solicitation data for all schools, colleges and central units in a timely fashion that didn’t unnecessarily drain personnel resources in the midst of a campaign and global pandemic. Further, senior leadership needed a pragmatic lens by which to view planned work and its likelihood of success, and managers needed comprehensive reports to view their frontline fundraisers’ activity. Join Syracuse University’s Assistant Director of Prospect Management and Assistant Director of Data Analytics to learn how they built a suite of Tableau dashboards that provides detailed insights into the university’s fundraising pipeline and optimizes individual and team portfolio management.

    Three years into revolutionizing their annual fundraising goal-setting process, Syracuse needed a way to produce solicitation data for all schools, colleges and central units in a timely fashion that didn’t unnecessarily drain personnel resources in the midst of a campaign and global pandemic. Further, senior leadership needed a pragmatic lens by which to view planned work and its likelihood of success, and managers needed comprehensive reports to view their frontline fundraisers’ activity. Join Syracuse University’s Assistant Director of Prospect Management and Assistant Director of Data Analytics to learn how they built a suite of Tableau dashboards that provides detailed insights into the university’s fundraising pipeline and optimizes individual and team portfolio management.

    Katie Pierce

    Director of Fundraising Intelligence & Analytics

    Syracuse University

    Katie Pierce has a B.A. in Physics from Hamilton College and is currently in the Applied Data Science M.S. program at Syracuse University.  She is the Assistant Director of Data Analytics in the office of Prospect Development and Analytics at Syracuse University where she develops analytic tools for pipeline analysis, forecasting, predictive analysis and data visualization reporting for both senior leadership and school/unit officers.

    Lindsay Scheuer

    Director of Prospect Management & Performance

    Syracuse University

    Lindsay Scheuer joined Syracuse University's Prospect Development & Analytics team in 2017, having previously worked in relationship management roles in secondary education and professional theater. She leads a team that directly supports advancement operations through strategic planning, goal setting, prospect pool development, and portfolio review.

  • Contains 15 Product(s)

    Get 15 sessions offered at the Prospect Development 2022 Conference, held July 27-29, 2022.

    Get 15 sessions offered at the Prospect Development 2022 Conference, held July 27-29, 2022.

    • PD 2022 Apra Talks: The Context of Change: Perspectives on Philanthropy
    • Advanced Fundraising Reporting
    • Revamping Portfolio Consultations
    • Pipelines and Metrics and Engagement! Oh, my! A Journey Down the Yellow Brick Road to Creating an Action-Driven Performance Development Reporting Suite
    • How to Convert to a New CRM in 4,000 Easy Steps
    • Enabling Advanced Analytic Tools and Access to Data: Bringing technology and people together for better analytics
    • Leadership Buy in through Design Thinking in Advancement
    • Lessons We Should Have Known, But COVID Had to Teach Us
    • Bon Appétit: How to Properly Digest Stock Form Alphabet Soup and Footnote Word Salad
    • Diversifying your Prospect Pool: Methods and Approaches to Social Inclusion in Prospecting
    • How Summa Health Engaged Retired Physicians as Partners in Fundraising
    • The Evolution of Due Diligence at Stanford: Building the Plane While Flying It
    • Free Solo: Campaign Planning On Your Own
    • Insights from a New Prospect Researcher
    • Building Relationships Based on Love
  • Contains 1 Component(s)

    What do you need to consider when you want to take your data analytics to the next level? To take your insights from Excel pivot tables to dynamic, automated business intelligence reports. With a strong foundation of data analysis, Pathways to Education Canada knew that to continuously improve and scale its donor data insights, it needed to implement new technologies and new approaches. Join us as we walk you through the considerations, initial implementations, and investments as we begin to level up our data insights. In this session, we will share our data governance, classification, and implementation methodology. We will talk about the successes and the challenges we faced along the way. If you are considering implementing business intelligence reporting, this session will help you understand what you need to consider to build a strong foundation.

    What do you need to consider when you want to take your data analytics to the next level? To take your insights from Excel pivot tables to dynamic, automated business intelligence reports. With a strong foundation of data analysis, Pathways to Education Canada knew that to continuously improve and scale its donor data insights, it needed to implement new technologies and new approaches. Join us as we walk you through the considerations, initial implementations, and investments as we begin to level up our data insights.

     

    In this session, we will share our data governance, classification, and implementation methodology. We will talk about the successes and the challenges we faced along the way. If you are considering implementing business intelligence reporting, this session will help you understand what you need to consider to build a strong foundation.

    Liz Rejman

    Director, Fundraising Operations

    Pathways to Education

    Liz is an expert development operations; with a focus on automation, workflows and prospect management. She has spent her entire career working in the not-for-profit sector with arts organizations, healthcare foundations, and higher education institutions. She has instructed at both Western University on the topic of technology in the not-for-profit sector and at Georgian College on prospect research. She has shared her knowledge and expertise on prospect research, database management, ethics in prospect development, and using social media for prospect research at numerous Canadian and international conferences including AFP Congress, Apra, Apra Canada, and AHP Canada. She is the co-editor and contributor to the book "Prospect Research in Canada: An Essential Guide for Researchers and Fundraisers". Liz is a Trustee of the Apra Foundation Board of Trustees.

    Alex Gregory

    Director of Business Intelligence

    Pathways to Education Canada

    (He/Him) enjoys managing teams dedicated to understanding data and
    developing innovative data products to enable strategic decision making. He has
    over 12 years of experience conducting quantitative analysis, developing
    advanced analytical data products, and leading a professional data team. 
    He is new to the non-profit space having previously worked in transportation
    and retail.  Alex obtained his Masters Degree in Economics from the
    University of Ottawa and holds a Professional Certificate in Data Science.

  • Contains 1 Component(s)

    As prospect development professionals, we are often tasked with providing the most relevant insights into data, finding the “best” prospects, informing strategy, and conducting analyses. All of this is based in data – but are we managing this data, these recommendations, these insights as efficiently as we can? How do you as a prospect development professional or other partner provide actionable data? How do you ensure you’re analyzing the “right” things without wasting time? How do you encourage or influence your partners to ask strategic questions and ensure you can efficiently answer? How do you get access to data without needing customized reports or help from other areas of the organization? What datapoints have consistent definitions, and who decides what those definitions are? How do you tailor work to meet individual needs without overwhelming your team or other teams with personalization for different data? Do you empower gift officers or other partners to do their own research/reporting/analytics? What are the pros/cons of doing so? How do you manage that? Join Katie Princo, Research Team Lead, and Aron Sage, Business Intelligence Team Lead, as they delve into the data landscape at the University of Colorado. Though they will share stories and examples, this presentation will focus more on the philosophy and approach rather than pitching one solution or tool, striving to help attendees improve their own approaches to determine what makes the most sense at their organizations.

    As prospect development professionals, we are often tasked with providing the most relevant insights into data, finding the “best” prospects, informing strategy, and conducting analyses. All of this is based in data – but are we managing this data, these recommendations, these insights as efficiently as we can? How do you as a prospect development professional or other partner provide actionable data? How do you ensure you’re analyzing the “right” things without wasting time? How do you encourage or influence your partners to ask strategic questions and ensure you can efficiently answer? How do you get access to data without needing customized reports or help from other areas of the organization? What datapoints have consistent definitions, and who decides what those definitions are? How do you tailor work to meet individual needs without overwhelming your team or other teams with personalization for different data? Do you empower gift officers or other partners to do their own research/reporting/analytics? What are the pros/cons of doing so? How do you manage that? Join Katie Princo, Research Team Lead, and Aron Sage, Business Intelligence Team Lead, as they delve into the data landscape at the University of Colorado. Though they will share stories and examples, this presentation will focus more on the philosophy and approach rather than pitching one solution or tool, striving to help attendees improve their own approaches to determine what makes the most sense at their organizations.

    Kathryn Frances Princo

    Advancement Strategy Analyst

    University of Colorado

    I’m an Advancement Strategy Analyst who has been with the University of Colorado Strategy team since 2017.  I previously worked on the College of Music Advancement team on the CU Boulder campus.  I graduated with a bachelor's in music composition from the University of Michigan and a master's in music composition from the University of Colorado Boulder.  My primary passions are identifying new donors, building systems to forward on the best leads, and data analysis and integrity.  Outside of work I compose music, play the organ and piano, run, hike, cook, and read.

    Aron Sage

    Business Intelligence Team Lead

    University of Colorado

  • Contains 1 Component(s)

    Through conversation with data science professionals representing a variety of industries and perspectives, this webinar will cover topics such as bias prevention, reporting, examples of implementing new data collection practices, and communicating data in a way that captures stakeholder attention. *This Webinar is worth (1) CFRE Credit

    Through conversation with data science professionals representing a variety of industries and perspectives, this webinar will cover topics such as bias prevention, reporting, examples of implementing new data collection practices, and communicating data in a way that captures stakeholder attention.


    *This Webinar is worth (1) CFRE Credit

    K Shelton

    Director, Analytics & Business Intelligence

    The University of Chicago Booth School of Business

    K Shelton (they/them) is the Director of Analytics & Business Intelligence at the University of Chicago Booth School of Business where they are responsible for the quality and usability of alumni data across all systems and scenarios. K previously worked on UChicago’s central Alumni Engagement & Annual Giving Team as Senior Assistant Director of Global Engagement & Affinity Programs, then as Associate Director of Data Strategy & Analysis, before joining Chicago Booth in November of 2021. K has a background in customer service, fine art, and psychology. When they are not toiling with data, you can find K engaging in a variety of creative activities such as landscaping, painting/drawing, and home decorating.

    Meena Das

    Founder & Philanthropy Analytics Consultant

    NamasteData

    Meena Das (she/her/hers) is a nonprofit analytics consultant with her own practice, NamasteData. She focuses on designing equitable research tools and analyzing people engagement. Meena appreciates spending her time outside work as a mentor to immigrants and as pro bono research advisor to small shops. Her three recent favorite projects are talking about IDEA-led data and research through her LinkedIn-based newsletter data uncollected, publishing her first kindle e-book "Some Data Posts" - a collection of essays on intersection of inclusive research and personal identity, and building a virtual school for advancing equity through data, “Data Is For Everyone”. 

  • Contains 1 Component(s) Recorded On: 03/02/2022

    Grateful patient programs are only as good as the data that they're based on. Windfall works with more than 700 nonprofits across the country. Based on our work with customers, we have created a maturity curve and a five-step program that helps to supercharge your grateful patient prospecting and donations. In this session, we will cover: - Best practices for data-driven grateful patient programs - Key workflows for grateful patient programs - What data you need to achieve success - How to best utilize machine learning and AI

    Grateful patient programs are only as good as the data that they're based on. Windfall works with more than 700 nonprofits across the country. Based on our work with customers, we have created a maturity curve and a five-step program that helps to supercharge your grateful patient prospecting and donations.

     

    In this session, we will cover:

    - Best practices for data-driven grateful patient programs

    - Key workflows for grateful patient programs

    - What data you need to achieve success

    - How to best utilize machine learning and AI

    Jessica Tait

    Sr. Director of Product Marketing

    Windfall

    Jessica is a senior director of product Marketing at Windfall. Jessica has a decade worth of experience working with customers in the data and analytics space. Prior to Windfall, Jessica has worked at leading technology companies like Drawbridge, RadiumOne and Merit. Jessica graduated with a degree in economics and music from Columbia University and has an MBA from The Wharton School, University of Pennsylvania.

    Byu Jareonvongrayab

    Data Science Product Manager

    Windfall

    Byu is a data science product manager at Windfall. Byu works directly with Windfall’s data science team to help support 100+ predictive models built on Windfall’s advanced machine learning infrastructure. Prior to Windfall, Byu worked with Data Science teams at Google and was a senior data scientist at Oracle Data Cloud. Byu graduated with undergraduate and graduate degrees in biomedical engineering and applied mathematics & statistics from The Johns Hopkins University.

  • Contains 1 Component(s) Recorded On: 12/08/2021

    ​“Big data” can help nonprofits predict future behavior precisely and provide an important competitive edge. But how do you prevent information overload and derive these insights efficiently? The key is to make “big data” more manageable. Data must predict things worth predicting, identify problems worth fixing, and opportunities worth pursuing. In this webinar, we discuss why wealth and predictive modeling are so powerful, how they interact, and the importance of considering a holistic approach to your segmentation strategy.

    “Big data” can help nonprofits predict future behavior precisely and provide an important competitive edge.

     But how do you prevent information overload and derive these insights efficiently?

     The key is to make “big data” more manageable. Data must predict things worth predicting, identify problems worth fixing, and opportunities worth pursuing.

     In this webinar, we discuss why wealth and predictive modeling are so powerful, how they interact, and the importance of considering a holistic approach to your segmentation strategy.

    This webinar is worth one (1) CFRE point.

    Katherine Swank

    Principal Strategic Consultant

    Blackbaud

    Katherine joined Blackbaud in 2007 and since has tenured her role in helping clients across all non-profit sectors better understand their constituent data and donor trends. She actively engages with client teams to provide guidance on data-informed strategic fundraising efforts, revenue growth and promoting long-term file health through her action-oriented facilitation. Her customer engagements include those using enterprise data intelligence packages. 

    Before assuming this role, Katherine served as the national director of major gift planning at the National Multiple Sclerosis Society home office, as a regional director of gift planning at the American Heart Association, as director of major and planned gifts at Colorado Public Radio, and was the annual fund director at Southwestern University School of Law. She raised over $200 million mission-related dollars during her 25-year career.

    She also served as an affiliate faculty member at Regis University for their Masters in Global Nonprofit Management degree program for 11 years. Before entering the not-for-profit field, Katherine practiced law in Arizona, managed a state-wide high school law-related education program and coordinated the National High School Mock Trial Competition. 

    Katherine is a past president of the Colorado Planned Giving Roundtable and is an active volunteer and advisor to a variety of organizations in her community and beyond. She is a frequent speaker at BBCON, NACGP, APRA, AFP, and other industry conferences.

    Katherine holds an Independent Studies degree from the University of Northern Colorado and received her Doctor of Jurisprudence at Drake University’s School of Law.

  • Contains 1 Component(s) Recorded On: 10/20/2021

    The Helen Brown Group and iWave are happy to present this webinar to you. Ethics and due diligence are more important than ever in prospect research. The Sackler and Epstein scandals of the past few years are bringing ethics and risk management to the forefront. As donors and their gifts come from an ever-wider net, how is your team (and their leadership) keeping potential risks in mind? We will discuss potential pitfalls of due diligence, how to adhere to APRA’s Code of Ethics (no matter how small or large your shop is) and what to do if you come across some risky business (including examples in our own work). We will clarify the key differences between prospect research and due diligence research and give some tips and tricks to go about it in an efficient and ethical way. After our discussion, attendees should feel empowered to draft a due diligence policy for their organization (or to encourage other to do so), and have greater knowledge of the best resources to complete this work. They will also have a greater understand of the differences between prospect research and due diligence research. The ethics needed and risks involved with completing due diligence work will also be discussed. This webinar is worth (1) CFRE point.

    The Helen Brown Group and iWave are happy to present this webinar to you. Ethics and due diligence are more important than ever in prospect research. The Sackler and Epstein scandals of the past few years are bringing ethics and risk management to the forefront. As donors and their gifts come from an ever-wider net, how is your team (and their leadership) keeping potential risks in mind? We will discuss potential pitfalls of due diligence, how to adhere to APRA’s Code of Ethics (no matter how small or large your shop is) and what to do if you come across some risky business (including examples in our own work).  We will clarify the key differences between prospect research and due diligence research and give some tips and tricks to go about it in an efficient and ethical way.

    After our discussion, attendees should feel empowered to draft a due diligence policy for their organization (or to encourage other to do so), and have greater knowledge of the best resources to complete this work. They will also have a greater understand of the differences between prospect research and due diligence research. The ethics needed and risks involved with completing due diligence work will also be discussed.


    This webinar is worth (1) CFRE point.

    Jayme Klein

    Helen Brown Group

    Jayme began her career in development in 2008 at the Rutgers University Foundation, where she spent the next seven years, first in prospect management and then prospect research. She spent several years at Monmouth University as their senior prospect research analyst, working with the fundraising staff, university president, and top leadership. She has worked as both a volunteer and consultant for non-profits in the areas of research and writing. She earned a bachelor of arts degree from Drew University and a master of communication and information sciences from Rutgers University. She is a member of APRA’s Online Content Committee. Jayme joined The Helen Brown Group in April 2019.

    Michele Borucki

    Helen Brown Group

    Michele began her career in development in 2012 as a Development Analyst with the University of California, Berkeley Corporate and Foundation Relations team. She served as a Prospect Analyst at University of California, Davis and then as a Senior Prospect Analyst at the George Washington University. Michele is a member of NEDRA, Apra Florida, and Apra International and previously served as the Social Media Chair for Apra Metro DC. She received her BA in creative writing from Florida State University and studied higher education leadership at California State University, Sacramento. She currently lives in Tampa, FL with her husband and two children. Michele joined the Helen Brown Group in July 2018.

  • Contains 1 Component(s) Recorded On: 09/29/2021

    Apra’s Ethics & Compliance Committee recently published a DEI Data Guide, covering the ethical ways of collecting, storing, and using diversity, equity, and inclusion data, which can be sensitive information.

    Apra’s Ethics & Compliance Committee recently published a DEI Data Guide, covering the ethical ways of collecting, storing, and using diversity, equity, and inclusion data, which can be sensitive information. The presentation will discuss the main elements of the Data Guide, and have a live Q&A to answer questions related to the complexities of DEI data. Participants can expect to take away best practices of working with DEI data, and how to implement them in their own shops. The information is relevant to anyone in the fundraising sector. This webinar is worth (1) CFRE point.

    Lori Hood Lawson

    Chief Experience Officer

    Call Simulator, Inc.

    Lori Hood Lawson has spent nearly 25 years helping the fundraising sector adopt new technology to harness the power of actionable data leading to transformative insights. She recently joined Call Simulator, Inc. as the company’s Chief Experience Officer. Lori is the former Vice President of Advancement Insights for UC Innovation, for which she currently serves as an advisor to ascend AI, the product line she helped develop for UC Innovation clients. She co-founded WorkingPhilanthropy.com LLC and served as editor of several books, including Big Good: Philanthropy in the Age of Big Data & Cognitive Computing and The Nonprofit Buyer: Strategies for Success from a Nonprofit Technology Sales Veteran. She got her start in the fundraising sector at Florida State University Foundation, where she served as Associate Director of Prospect Research. She then joined Prospect Information Network (P!N) and had the opportunity to transition its flagship product, ProfileBuilder, to a SaaS CRM solution after Kintera’s acquisition of P!N. Many of her innovations, and those of her P!N team and colleagues, are still in use today. Lori is a long-time volunteer with both Apra and aasp. She is passionate about ethics and compliance, due diligence, data privacy and protection, and best practices in prospect development. You can find Lori on Twitter @workinglori. She lives with her husband David and their floofy corgi Cooper in Tallahassee, FL, while the kids are busy making our world a better place in various parts of the country.

    Megan Horton

    Prospect Management & Research Analyst

    UC San Diego

    Megan has been working with UC San Diego Advancement since 2015 where she has worked with campaign operations, Corporate & Foundation Relations, and is now involved in both Prospect Research and Prospect Management. She currently serves as Chair of the Apra Ethics & Compliance Committee, and has presented at several conferences including Apra Prospect Development, AFP ICON, and CARA. Before coming to San Diego, she worked in El Salvador and Washington, D.C. where she worked in violence prevention and Latin American social justice nonprofits. Megan has a BA in International Affairs from George Washington University, and an MA in Latin American Studies from UC San Diego. 

    Erin Osborn

    Prospect Development Director

    Children’s Hospital Colorado Foundation

    Erin Osborn is the Prospect Development Director at Children’s Hospital Colorado Foundation. She started at the Foundation in 1997, working as a coordinator in a variety of departments, including planned giving, major gifts and special events. Erin has worked in prospect research since 2001.  She is a past president of Apra-Rocky Mountains and has presented for Apra, Apra-Rocky Mountains, AFP Colorado, AHP Rockies & Southwest and other groups like Community Shares of Colorado and the Aspen Development Group.

  • Contains 1 Component(s) Recorded On: 09/08/2021

    Machine learning & AI can be powerful tools for enabling data-driven fundraising, but they can also be incredibly complex. Join Windfall’s Arup Banerjee for a deep dive into feature engineering. In this session, Arup will examine the nuances of machine learning models and the important role that feature engineering plays. Hosted with APRA, this session explores: • How machine learning helps nonprofit organizations • What feature engineering is and how you can leverage it • Important advantages, drawbacks, and gotchas around feature engineering • Simple steps to leverage feature engineering today • How to implement machine learning models This webinar is worth (1) CFRE point.

    Machine learning & AI can be powerful tools for enabling data-driven fundraising, but they can also be incredibly complex. 

    Join Windfall’s Arup Banerjee for a deep dive into feature engineering. In this session, Arup will examine the nuances of machine learning models and the important role that feature engineering plays.  

    Hosted with APRA, this session explores:
    • How machine learning helps nonprofit organizations
    • What feature engineering is and how you can leverage it
    • Important advantages, drawbacks, and gotchas around feature engineering
    • Simple steps to leverage feature engineering today 
    • How to implement machine learning models

    This webinar is worth (1) CFRE point.

    Arup Banerjee

    CEO

    Windfall

    Arup Banerjee is the CEO and Co-Founder of Windfall, a data company that helps nonprofits identify, understand, and engage the affluent. Arup has over 15 years of experience building data-related technology companies. Prior to Windfall, Arup served as SVP, Product at Radius, a B2B predictive marketing company that raised over $125 million. Earlier in his career, Arup helped build out technical infrastructure and analytics frameworks at GoodData, a cloud-based business intelligence company based out of San Francisco. Arup holds degrees in Computer Science and Economics from Duke University and an MBA from the Haas School of Business, UC Berkeley

    Chris Ferraioli

    Staff Data Scientist

    Windfall

    Chris has been at Windfall since May 2020, where he is a Staff Data Scientist. Much of his time is dedicated to developing machine learning models to help Windfall's customers meet their goals. Chris now lives in the Bay Area, but grew up in New Jersey and has lived in various places in between New York and DC. Before Windfall, he was employed in a variety of different fields including chemistry, nuclear physics, and autonomous vehicles.