3rd Sector Labs

AUGUST 4, 2014

Even the occasional parsing is a solvable problem – typically, where some old text field was used to store a variety of different data points that now have a data field home in your new CRM. We invested a lot of time in it. Data governance policies will be reviewed (created for the first time?), We know it.

Data 130

Data Database Donor Problem 130

3rd Sector Labs

AUGUST 7, 2014

If your organization is fundraising without donor data to support it, then you have a problem that needs your attention. It is time to manage that problem and reduce risk. But from the perspective of the charity, we need to recognize the problem and associated risks. That is a problem. What’s that proverb?

Data 100

Data Donor Giving Fundraising 100

3rd Sector Labs

MAY 29, 2014

We provide examples of how to achieve this alignment more effectively, as well as examples of common data problems that organizations encounter and need to overcome. Q3: When was the last time you cleaned your donor database(s)? Based on informal discussions with webinar attendees, the problem seems clear. 0% – 1 to 2.

Data 148

Data Technology Fundraising Database 148

3rd Sector Labs

OCTOBER 2, 2014

Recently, the Chronicle of Philanthropy asked on its front page “ Is Raising Visibility a Waste of Time? Wow – that’s a problem almost every nonprofit would like to have, right? It is time for data mining, data analysis, data science. million new donors. So much to debate. And it all misses the point.

Challenge 183

Challenge Data Analysis Charity 183

3rd Sector Labs

JUNE 1, 2015

Growth in big data and its related needs/problems has fueled growth in the discipline of data science. Also referred to as data hygiene, data cleaning is recommended as part of a larger donor data management strategy for nonprofits in order to maintain a higher quality of donor data over time.

Data 100

Data Management Donor Database 100

3rd Sector Labs

JANUARY 16, 2014

We spent time studying user browsing habits in the beta phase of development. The screen shot opens in 1/1000th of the time or less.” But those approaches won’t always solve the problem. So obviously, we are committed building complex custom applications, which brings on the challenge of optimization. Conclusion.

Drupal 100

Drupal Module Application Content 100

3rd Sector Labs

APRIL 23, 2014

2 – When was the last time your organization cleaned your donor data? For example, I would expect lower email open rates for a donor acquisition campaign that is targeting a high percentage of first time contacts (e.g. Don’t clean, update, or enrich your data as a response to an upcoming mailer or an incoming problem.

Data 133

Data Management Rate Benchmark 133

3rd Sector Labs

JULY 16, 2014

It is time to end the debate. We have discussed the problem of data hoarding in the past. Less Filling ‘ Your nonprofit organization needs to acquire new donors (data quantity), but you also need the ‘right’ data in order to foster better, longer term relationships (data quality). So both are equally important, right?

Data 144

Data Retention History Government 144

3rd Sector Labs

APRIL 28, 2014

Stop and ask yourself this: when was the last time you went into your CRM and studied donors or gifts older than three years? At the risk of answering a question with a question, when was the last time you reached out specifically to lapsed donors – donors who have not given in the past two years?

Data 178

Data Donor Database Map 178

3rd Sector Labs

NOVEMBER 13, 2014

Here’s an example of the problem through the eyes of a recent client (I’m paraphrasing). We manually sync CRM donor data with our email marketing system every time we launch a newsletter or a multi-channel fundraising appeal. Get out of the rut of reacting to bad data and the service problems that bad data creates.

Data 160

Data Management Synchronous Database 160

3rd Sector Labs

NOVEMBER 18, 2014

Worse still, if you weren’t in “the cloud”, then your organization was exposed to all sorts of risks, problems and unnecessary costs? But I’m not going to give you a list of pros and cons to compare … that sort of check-list approach would be misleading and a waste of time. What are your technology risks?

Organization 130

Organization Software Data Local 130