During this season of giving, my co-author Ashutosh and I are pleased to share a free, online copy of our book Data Science for Fundraising: Build Data-Driven Solutions Using R to connect with other lifelong learners and build communities of expertise, insights and solutions across higher education and beyond.
Please share your data science success stories via LinkedIn or Twitter at @xdanalysis and @n_ashutosh.
Enjoy and stay tuned for more updates!
There’s still time to apply to speak at the APRA Data Analytics Symposium in Phoenix, AZ on Wednesday, July 31 – Saturday, August 3, 2019.
If you haven’t done so already, please consider submitting a proposal by October 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.
APRA Data Analytics Symposium 2018, Presenter
Data Science for Fundraising is on Amazon!
Get your copy (kindle or color paperback) today:
Please consider leaving a review and sharing your data science journey with me via twitter @xdanalysis.
Thank you all for your support and encouragement as we work together as lifelong leaners to build communities of expertise, insights and solutions for higher education and beyond.
Keep calm and data on!
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.