When it comes to integrating big data into a nonprofit’s fundraising strategy, organizational leaders often point to money as the primary obstacle. Unfortunately, it’s not the only one. There are a number of speed bumps nonprofit data evangelists need to negotiate when trying to bring data to their orgs. Here are five to consider before you launch your campaign for data, and how to overcome them.
The solution: Try to match individual data sets to your organization’s objectives. By focusing your data initiatives on specific business strategies, you can smartly choose what data you need and what data you can ignore. Because this limits the data you’ll need to collect, clean and analyze, this can help to significantly lower your costs.
The solution: Your organization’s staff may have hidden skills—ask around in-house before hiring an outside data science consultant.
3. Incomplete or inaccurate data
The solution: Some tech strategists argue that “relaxed data”—imperfect data sets, for example, or research methods that aren’t ironclad—can be useful for storytelling, even if it isn’t scientifically valid. Not everyone agrees, but it may be a way to get your data strategy off the ground.
4. Unwillingness to adopt
The solution: There are a number of strategies for facilitating staff buy-in. Perhaps the most critical is make data an ongoing conversation among all members of staff.
5.Balancing data with storytelling
The solution: Incorporate data into new storytelling platforms like infographics and video. Then collect data on those campaigns to track their effectiveness.
Download our white paper, “How to bridge the big data resource gap” to learn more about how to effectively implement data analytics at your organization.