Data

Data Cultures Part II: Breaking Free from the Cycle of Disempowerment

Data Cultures Part II: Breaking Free from the Cycle of Disempowerment

An overemphasis on data-driven work within the nonprofit sector has been shown to result in cycles of disempowerment, driven by third-party data demands of funding bodies.. This compounds due to the many market orientations nonprofits need to adopt, particularly prevalent among the arts. A key to navigating these markets and funder requirements lies in identifying a specific data culture best fit for your organization and investing in resources and training in order to achieve that framework sustainably.

Data Cultures Part I: The Many Markets of Arts Organizations

Data Cultures Part I: The Many Markets of Arts Organizations

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.

Digital Strategy: Not Optional Anymore

Digital Strategy: Not Optional Anymore

Digital strategy has become a buzzword after the explosion of AI in the last 18 months. Yet, it is not about AI. AI has been the tipping point for organizations and professionals to recognize that they must update or create a digital strategy for success. Digitally-forward arts organizations already have a digital component as part of their strategic plan. Read more to understand the need for technology to be a core component of strategic plans and operations.

In the News: October 2022

In the News: October 2022

As issues surrounding AI and NFTs continue to come to light, conversations about ethical uses of technology become more complex. This month, we are taking a look at stories that address the issues of data privacy in AI technology, the ongoing legal battlefield of NFTs, and digital strategies in theatre.

Managing Privacy, Identity, And Virtual Worlds In Video Games: Part Two

Managing Privacy, Identity, And Virtual Worlds In Video Games: Part Two

In Part Two investigating video game user privacy, the authors highlight the study’s user research and give an analysis of how gamers and companies perceive data privacy, as well as which video game companies provide the most options in terms of privacy settings.

Managing Privacy, Identity, and Virtual Worlds in Video Games: Part One

Managing Privacy, Identity, and Virtual Worlds in Video Games: Part One

The video gaming business is now a world-leading entertainment industry with nearly 180 billion U.S. dollars in market value (Statista, 2021). As more private information and in-game data are collected and utilized to support gaming, it may also threaten the safety of gamers' privacy. Therefore, it is essential for gaming companies to understand the business implications of collecting and using gamers’ private information. There have been studies that take account of the privacy landscape across industries, but privacy in the gaming industry remains less examined given its complexity and rapid recent growth.

Data Integrity -- The Foundation for Success in the Future

Data Integrity -- The Foundation for Success in the Future

If you work in your organization’s management systems, how often are you caught by data that you cannot trust? The degradation of data integrity typically comes from human error (entry of data or maintenance), formatting inconsistencies, collection processing errors or data field misalignment, or, for larger companies, data breaches. This article will help clarify how to create ecosystems for data integrity and the opportunity a strong data infrastructure provides for a data-ready future.

Arts Organizations & Using the AI Stack

Arts Organizations & Using the AI Stack

Carnegie Mellon University (CMU) was ranked number one in 2022 for Artificial Intelligence Programs by U.S. News and World Report. Incorporating CMU’s AI lessons is critical for all industries but particularly those that are historically considered to be “non-technical fields.” Within these fields, the ones who thrive will be those who incorporate at least the lower levels of the stack, namely data management, but an understanding of each layer of the stack will provide industries with a road map to understand how they can increase the efficiency and output of their organization’s business processes.

Approaches to Data Privacy in Arts Organizations

Approaches to Data Privacy in Arts Organizations

In the current digital economy, privacy is elusive. In fact, much of the Internet as we know it is made up of services and practices that use data as a form of payment, without making that transaction clear. This article explores how individuals and organizations in arts enterprises can maintain better privacy and data protection for themselves and their clients using existing technology and techniques. It begins with a brief background on the state of digital privacy, and then provides into an overview of existing techniques and technologies that could be applied within the arts.