Today’s Halloween, but data doesn’t have to be scary.
Whatever hair-raising challenges you face on a daily basis, DRIVE/ will help you focus on the spellbinding world of analytics and better understand the transformative power of data.
Just like Halloween, the DRIVE/ 2019 in Baltimore will be full of tricks to better manage your data, as well as some real treats—like enchanting keynotes and spine-tingling tech demonstrations.
Whether you arrive by broomstick or ghost train, find out how far you can go at DRIVE/. Get prepared and reserve your seat today!
Save the Date: Arrive early on March 11 and treat yourself to OverDRIVE, a specialized event presented by APRA devoted to data science happening the day before DRIVE/ 2019. Keep an eye out for more information to come soon!
If you have any questions, please feel free to reach out to me or any of my other DRIVE/ Conference Committee members.
There’s still time to apply to speak at the APRA Data Analytics Symposium in Phoenix 7/31/19 – 8/1/19.
Please consider submitting a proposal by 10/31 and sharing your data analytics insights and success stories with the APRA community:
Please share this proposal link with any colleagues whose data analytics work has inspired you this past year.
APRA Data Analytics Symposium 2019, Chair
Join APRA for Prospect Development 2018 on August 8 – 11 at the David L. Lawrence Convention Center in Pittsburgh, PA!
The Data Analytics Symposium will include a panel session on The Future of Fundraising Analytics. During this session on Wednesday, August 8th from 4:00-5:00pm, we will explore current challenges and prospective opportunities in fundraising analytics for organizations of any size.
Click here for registration details.
Data Science for Fundraising (kindle and color paperback) is on Amazon!
Get your copy today: http://a.co/0BCbSTw
Please consider leaving a review and sharing your data science journey with me via twitter @xdanalysis.
Thank you all for your support and encouragement.
Keep calm and data on.
#DataScience #R #Amazon
I’m pleased to share that Ashutosh Nandeshwar and I have co-authored a book Data Science for Fundraising: Build Data-Driven Solutions Using R, which is expected to release Feb 2018.
Please share with anyone interested in learning about data science and how to build machine learning solutions with step-by-step recipes.
Check out the attached link for more details about our data science giveaway!
Data analytics is a topic of increasing relevance and priority for organizations of any size or sector.
As you explore different analytics pathways, options and solutions, there are common themes around design, workflow and business requirements, as well as important technical, social and cultural considerations, that must be aligned with organizational goals, priorities and expectations.
Ultimately, the value proposition of data analytics is to help 1) improve results and 2) gain operational efficiencies. Despite the simplicity of these goals, data analytics can be challenging to implement and realize at scale for many organizations.
In the following article, we will explore some ways to effectively organize, contextualize and drive analytics adoption efforts within your team, department or organization.
Hope your 2018 is already off to a great start!
I’m looking forward to speaking at #casedrive, a preeminent event for professionals who are determined to be subject matter experts in the fields of data and beyond.
I will be presenting on Data Science for Fundraising: Build Data-Driven Solutions Using R on Tuesday, February 27.
Join me in Seattle, Washington February 27-28 at this must-attend event!
There’s still time to sign up today, so don’t miss out!
Please join APRA and your data-driven peers for OverDRIVE/ 2018, a one-day deep dive into the world of analytics held on Feb. 26, 2018, one day before the DRIVE/ conference.
Made possible through a partnership between APRA and the DRIVE/ Conference, OverDRIVE/ 2018 is specially designed for those looking to boost their analytics skills and gain the tools to demystify and optimize data.
Learn more about the experienced faculty that will be sharing their invaluable insight at OverDRIVE/ 2018 and view the complete schedule here.
Don’t delay — register by January 19 to secure early bird pricing and book your housing!
Acquiring new donors can be difficult and expensive for any annual giving program. Fortunately, predictive modeling can make the challenge of converting non-donors into donors easier and more efficient. Creating and applying a simple scoring system can help you to determine which non-donors are most likely to respond to direct appeals and which marketing channels will yield the highest return for various segments.
WHAT YOU’LL DISCOVER
- Methods for building low cost donor acquisition models in-house using Excel
- Guidelines for applying model scores to prioritize prospects and non-donor segments
- Advice for allocating your resources to each of your marketing channels based on model outcomes
- Tips for assessing the strength and effectiveness of your models and your acquisition efforts
- Examples from other institutions, and more!
Thanks to the Annual Giving Network (AGN) team for inviting me to present on predictive modeling for donor acquisition.
Thanks to APRA for inviting me to present on relationship management for the 30th annual conference on 7/28/17 in Anaheim, CA.
The topic of my session is Relationship Management and Metrics: Key Fundraising Tools to Drive Acceptance of Analytics, Models and Services.
Here’s a brief description of my presentation:
Effective relationship management is critical to successful fundraising within any organization. Relationship management and metrics describe a system of information tracking tools, reports, policies, processes and measurable actions that organizations can use to 1) move prospects through the continuous fundraising lifecycle 2) chart progress to goal and 3) provide data-driven insights and strategic recommendations to key stakeholders. In this session, attendees will learn how to use relationship management and metrics to improve the acceptance of data analytics, models and services as evidence-based tools to provide context, content and competitive advantage.
Looking forward to sharing insights, expertise and decision support recommendations with the APRA community.