With Worksheets and Suggestions for Cost Cutting that Will Better Support Fundraising
During the 2008 economic crash, my employer had to lay of 10% of the Advancement Office. We just had to. I had to choose to lay people off. It was miserable.
What it taught me, though, is that management is just as confused and frustrated as staff are when it comes to figuring out what budgets and whose jobs to cut. Of course, we are going to advocate for leaving Prospect Research intact because that is where we come from. However, you can back up these assertions for your own shop by using data. Let’s begin.
By - Drew Page at Siege Media
Nonprofits can learn a lot about technology, operations, and more from companies in the for-profit sector.
One technology that has been gaining popularity among c-level executives is machine learning and its contributions to modern Artificial Intelligence (AI). Since true AI — the ability for computers to process unstructured data, form conclusions, and take action — is not yet on the horizon of possibilities, machine learning models have become synonymous with AI.
Celebrating Research Pride Month
The Information Age - a time when we all have access to the Internet and we can enjoy all kinds of possibilities, like posting silly pet videos or watching TV on our phones. As prospect researchers, we are early leaders in the Information Age, and we are still leading in acquiring, assembling, and interpreting information.
By Greg Duke
In my previous blog post, I warned that the United Kingdom Information Commissioners’ Office (UK ICO) might be preparing to take a hard line on companies which fail to protect their customers’ personal data under GDPR regulations. On July 9, 2019, the UK ICO followed through on the threat in dramatic fashion. The Office fined British Airways £183 million ($228.3 million) for a breach which exposed 500,000 customers’ personal data and credit card details to a criminal hack; and, the Office announced plans to fine Marriott Corporation—a US-based company—£99.2 million ($123.8 million) for exposing the personal details of 339 million of its customers to third parties.