Arts and cultural nonprofits often operate in multiple markets for earned and contributed revenue. With increasing attention on data-driven decision making, effective market orientation often depends on effective data use. This fundamental collection, transmission, use, and interpretation of data within an organization collectively contributes to what can be considered an organization’s data culture.
May News: AI, Misinformation, and Cybersecurity
Once again, AI continues to be front of mind this month. While companies expand AI functionality, artists call for protection of their likeness, and consumers call for accurate information. Meanwhile, cyberattacks evolve, and arts enterprises with high profile clients are challenged to respond. Looking at organizational workflow, popular tools like Canva are expanding to become a “one-stop shop” for design needs.
What the Arts Need to Know about Big Tech
Upon broaching the subject of Big Tech, the consideration of arts organizations is often forgotten, and the focus is solely placed on Silicon Valley and the lucrative world within. But with the increased attention into the world of Big Tech (specifically Apple, Amazon, Alphabet [Google], and Meta [Facebook]) as a result of continual antitrust lawsuits, privacy violations, and the global struggle in creating effective policies to limit these companies’ powers, it is becoming more evident that the activities of Big Tech span across a variety of industries, the arts and nonprofit sector included. This article will provide an overview of the Big Tech monopoly over data and privacy through its cross-market domination and explain its effects on the nonprofit world.
What Arts Nonprofits Should Know About Data Privacy and Security
In a survey of 467 nonprofit professionals, EveryAction and Nonprofit Hub found that 90% of nonprofits are collecting data, but that 49% of surveyed nonprofit professionals did not know how it was collected. While data clearly plays a large role in nonprofit arts organizations’ operations, few have concrete policies and procedures that guide its collection and use. In the context of changing policies about data privacy and increased risk of cyberattacks, this is a dangerous place for nonprofit arts organizations to be in. This article will summarize considerations in areas pertinent to these organizations.
Blockchain Explained: Understanding the Technology and its Applications for the Arts, Part 1 of 3
Emerging Digital Pathways #3 of 5 Peer-to-Peer Fundraising
Peer-2-Peer (P2P) campaigns are used often among the non-arts nonprofit community in the United States. 87% of Millennials and Generation Xers are willing to use peer-to-peer for their giving. P2P is a digital fundraising platform that strengthens the relationship between donors and arts organizations. It is an interactive platform where donors can be more actively engaged with their organizations and share their contributions with their peers. If arts organizations want to build deeper relationships with donors, they should try to include P2P in their fundraising plan. The following article explains how.
Emerging Technology for Fundraising: Part 1 of 5
Fundraising is a critical component of almost every nonprofit arts enterprise. This spring, the Arts Management and Technology Lab commissioned a national benchmarking analysis and survey of arts organizations on four emerging digital fundraising pathways: Text message / SMS giving, peer-to-peer portals, Facebook nonprofit tools, and mobile auction apps. The following kicks off a 5 part series that highlights the findings. This article offers specific statistics on fundraising with subsequent pieces providing details on the individual pathways and a summary of the national survey's findings.
Meeting Audiences Where They Are: The Data Behind Streaming Classical Music
As streaming becomes the most popular method of consuming music, orchestras and opera companies have an additional method of distributing their content. Which organizations are currently taking advantage of streaming and how are they using it? This raw data set helps answer those questions.
Photo source: http://www.violinist.com/blog/laurie/201611/20869/