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!