Apra PD 2022.jpg

Enabling Advanced Analytic Tools and Access to Data: Bringing technology and people together for better analytics

Track: Data Science

Session Number: 6028
Date: Thu, Jul 28th, 2022
Time: 1:00 PM - 2:15 PM
Room: Marquis 103

Description:

Q&A: https://app.sli.do/event/fyjHzNwFT5Ca2SQ9n8X4ZS

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.
Session Type: Breakout Session (75 Minutes)

Learning Objective #1: Attendees can better understand customer needs and provide actionable data
Learning Objective #2: Attendees can navigate their data landscape to provide an appropriate level of support for their customers
Primary Competency: PR:Competency 5: Utilizing Research Resources
Secondary Competency: PR:Competency 6: Research Methodology and Analysis Presentation
Tertiary Competency: DS:Competency 8: Organizational Data Strategy & Governance
Intended Audience Level: Level I
Recommended Prerequisites: none
Organization Size: Mid-Size/Large
Session Type: Breakout Session (75 Minutes)

Learning Objective #1: Attendees can better understand customer needs and provide actionable data
Learning Objective #2: Attendees can navigate their data landscape to provide an appropriate level of support for their customers
Primary Competency: PR:Competency 5: Utilizing Research Resources
Secondary Competency: PR:Competency 6: Research Methodology and Analysis Presentation
Tertiary Competency: DS:Competency 8: Organizational Data Strategy & Governance
Intended Audience Level: Level I
Recommended Prerequisites: none
Organization Size: Mid-Size/Large