Data Mining

'Big Data' Is Actually About the Small Data
October 1, 2014

The term "Big Data" gets tossed around an awful lot these days, no matter if you're talking the business sector or nonprofit fundraising sector. But "big data is really about the small data," said David Acup, managing director of interactive marketing and membership at the Environmental Defense Fund.

JDRF’s Big Data Management
August 12, 2014

Managing a donor database is difficult no matter the size of an organization or its donor base. However, when you are a large, international nonprofit organization, particularly one with chapters across the U.S. in addition to six international affiliates, managing data in a uniform, centralized fashion is even more complex. JDRF, the leading global organization funding type 1 diabetes research, is one of those large, international nonprofits handling data across different chapters spanning the globe.

What's in a Personality?
August 5, 2014

Believe it or not, your donors actually have expectations based on specific character traits.

Big-Data Insights
August 1, 2014

With the help of WealthEngine, JDRF has cleaned up its big-data business processes and enhanced its fundraising. Here, Megan Martin, former director of data analysis at JDRF (now at American Cancer Society), and Sally Boucher, director of research at WealthEngine, share some data insights.

The Power of Data in Finding and Building Relationships
June 20, 2014

You hear it time and time again at conferences, in articles and books, during webinars, and in trainings — fundraising is all about relationships. And in this era of big data, there are few things more valuable for fundraisers than unearthing actionable data points that can help build stronger relationships with prospects and donors.

What We Talk About When We Talk About Data
June 11, 2014

The world of nonprofit data is full of buzzwords and jargon that gets tossed around a lot, often indiscriminately. Some of those words have specific definitions that are subtly — and sometimes completely — different from how they’re being used, while others are vague to the extent that they become almost meaningless.

What do we mean when we talk about measuring “impact” or using “big data”? Both those words have clear definitions but are often used ambiguously.