Find out all about how arts organizations across the country are currently collecting patron data and some best practices based on a recently administered national benchmarking study.
Data Stewardship is the first step to making sure your arts organization uses data effectively. Click here to watch the first of three videos focused on data in the arts developed by TRG Arts.
The Nonprofit Technology Conference (#NTC17) met in March in Washington, DC, the headquarters of all nonprofits. The conference was vast with inspiring keynotes and information-filled panels. The following is only a sampling of what was available and reveals my passions and interests: Data, Diversity and Communication.
Data collection is an imperative in today’s economy; the lack of data collection results in ineffective and costly operations and marketing efforts. However, data collection is just the first step; what museums do with their data is the key to harnessing the power of Big Data and helping organizations succeed.
How are marketing departments at large American Opera institutions using their data? This new Whitepaper by AMT-Lab Contributor Kevin O'Hora uses four case studies to paint a picture of how companies are using data acquired by their website. Full of insights for marketing departments across disciplines, this publication includes software recommendations as well as general strategies and best practices applicable to any arts marketer.
Though often used to analyze traffic and commerce, Google Analytics is a powerful tool whose applications are near-limitless. In this new handbook, AMT Lab contributor Kathleen Grennan illustrates a number of ways in which arts managers of all types can use Google Analytics to make data-driven decisions in operational settings. From obtaining new audiences to bolstering fundraising efforts, this is a good introduction to this flexible tool. Click here to find the full report.
The collection and analysis of consumer data is a practice that grows more ubiquitous and complex everyday. However, the dangers of mass data collection are self-apparent, and it appears that consumers might be reaching a tipping point when it comes to companies using their personal information. New evidence from the Pew Research Center suggests that growing numbers of consumers are often confused, impatient, and discouraged when it comes to how companies use their data.
Data workers are the new must-have for a company. McKinsey Global Institute predicts that in the next three years, there will be a need for 1.5 million data analysts and managers. The Bureau of Labor Statistics lists these careers as one of the fastest growing occupations in all sectors. So from a data analyst to a business analyst to an application analyst to a data scientist, who is who? And with overlapping skills, how can a nonprofit arts organization figure out the difference?
Between CRM systems, social media management, and Google Analytics, arts organizations today have access to more data than ever before. Indeed, this unprecedented access has allowed for arts leaders to measure their performance more accurately and holistically than in the past. But in this ever expanding sea of data, how does an arts leader decide what information is the most important to focus on extrapolating trends on?