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Go Live! Empower the Front Line with Dynamic Data

Track: Data Science

Session Number: 6003
Date: Thu, Jul 28th, 2022
Time: 2:45 PM - 4:00 PM
Room: International 9

Description:

Pipeline Development thrives at the convergence of data science and prospect research. Join Associate Director and Analysts to learn about our department’s transformation from reactive research profiles to travel-based proactive leads, from simple static data visualizations to live data-warehouse-enabled market analysis. Customized deliverables support a broad base of development officers, from the most analytical to the most people-oriented, at high output volume. We’ll share challenges faced, learning curves, management strategies, and staffing pivots. Whether you’re a large, decentralized university, like us, or a smaller organization managing everything with a team of one, you’ll learn about scalable prospect segmentation solutions to help manage your workload.
Session Type: Breakout Session (75 Minutes)

Learning Objective #1: Reframe prospecting problems as data problems.
Learning Objective #2: Locate opportunities to leverage live data technology to design and deliver solutions for a broad client base, increasing ROI.
Primary Competency: DS:Competency 5: Visualization/Reporting Techniques and Competencies
Secondary Competency: DS:Competency 3: Data Manipulation Skills
Tertiary Competency: DS:Competency 7: Fundraising Knowledge
Intended Audience Level: Level I
Recommended Prerequisites: none
Organization Size: All Team Sizes
Session Type: Breakout Session (75 Minutes)

Learning Objective #1: Reframe prospecting problems as data problems.
Learning Objective #2: Locate opportunities to leverage live data technology to design and deliver solutions for a broad client base, increasing ROI.
Primary Competency: DS:Competency 5: Visualization/Reporting Techniques and Competencies
Secondary Competency: DS:Competency 3: Data Manipulation Skills
Tertiary Competency: DS:Competency 7: Fundraising Knowledge
Intended Audience Level: Level I
Recommended Prerequisites: none
Organization Size: All Team Sizes