The window for enrolling in the Insight trial, to get a free benchmarking analysis using Big Data, will close on 31st December 2014.
Insight is a new digital research project which aims to combine data collected from Museums, Galleries and Heritage venues, with wider data sets to gain a deeper understanding of what factors most greatly influence visitor spend. Using predictive analytic techniques, the Insight online platform effectively enables organisations to ‘forecast’ commercial performance, informing decision making, planning, and ultimately will enable organisations to see what elements they can adjust to stimulate greater spend from their visitors.
Participating organisations can expect to see a personalised online analysis platform and planning tools using benchmarking data that has been collected from participating organisations throughout the UK.
Supported by the Digital R&D Fund for the Arts – Nesta, Arts & Humanities Research Council and public funding by the National Lottery through Arts Council England – Insight is being delivered by three project partners; enterprise experts and cultural sector consultants Black Radley, software developers Ryan O’Neill Partnership and researchers from Bath Spa University’s Centre for Creative Computing.
Peter Collins, Project Manager at Black Radley says “The response we’ve had from the sector so far has been tremendous. There is a clear need to drive organisational resilience using techniques that take in to consideration the many nuances that influence visitor behaviour and spend.”
Dr Joe Collins, Software Developer at Ryan O’Neil Partnership says “In developing the online platform it was key to us that the user should have access to performance analysis tools that are simple to interpret and require very little staff time, but also acts to deepen understanding of the market place.”
Professor Andrew Hugill from Bath Spa University’s Centre for Creative Computing added: “Predictive analysis techniques offer serious possibilities for improving museum performance. This project is an excellent example of working across disciplines, as computer science and heritage studies meet.”
Museums, art galleries, historic sites and houses, and other cultural attractions interested in taking part are encouraged to register their interest before 31st December 2014. For information organisations can contact project manager Peter Collins at firstname.lastname@example.org
Black Radley Website: www.blackradley.com
Photo credit: Laing Art Gallery Café, Tyne & Wear Archives and Museums