Mw2014 friends analytics

Robert J. Stein
Robert J. SteinMuseum Administrator / Technologist
SEEING THE FOREST
AND THE TREES
How Engagement Analytics can Help
Museums Connect to Audiences at Scale
Robert Stein
Dallas Museum of Art
@rjstein
Bruce Wyman
USD Design | MACH Consulting
@bwyman
HOW DO YOU MEASURE
WHAT YOU CAN’T SEE?
Flickr Credit ~liquoredonlife
IS IT POSSIBLE TO CREATE
A PLATFORM FOR ENGAGEMENT?
CAN DATA HELP CREATE
A MUSEUM THAT IS
AGILE AND RESPONSIVE?
The Largest Art Museum in the Region
110 Years Old
Supported by the City of Dallas
NOT a Tourist Destination
The 2010 U.S. census reports that only 14.5% of US
Adults visited museums in the prior 12 months
(Census, 2012).
8%Dallas = 6.5M People - 500k Annual Attendance
METRICS
WE CARE
ABOUT
1.Repeat visits
2.Diverse participation
3.Increased affinity
4.Ability to motivate action
DMAfriends
HOW IS IT BUILT TODAY?
Mw2014 friends analytics
Mw2014 friends analytics
Mw2014 friends analytics
Mw2014 friends analytics
Mw2014 friends analytics
Current Software Architecture
Launch Day
January 21, 2013
DMAfriends
deep dive
Taking a
Mw2014 friends analytics
Mw2014 friends analytics
Mw2014 friends analytics
Mw2014 friends analytics
BIG DATA (almost)
1M Rows in the Activity Stream
1M System Log Events
20+ User Profile Fields
… Big for Museums Anyways
What’s the data
teaching us?
http://dma.org/friends/by-the-numbers
http://dma.org/friends/by-the-numbers
http://dma.org/friends/by-the-numbers
http://dma.org/friends/by-the-numbers
http://dma.org/friends/by-the-numbers
http://dma.org/friends/by-the-numbers
Mw2014 friends analytics
Bobby
Mw2014 friends analytics
SOFTWARE
FOUNDATION /
The Future
GOAL: Can we use data to
make our museum more
effective at producing engaged
and invested members?
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WHAT MIGHT A NATIONAL ENGAGEMENT
NETWORK LOOK LIKE?
VISION PILOT PROJECTS
• Denver Art Museum
• Grace Museum, Abilene
• LACMA
• Minneapolis Institute of ArtsFOUR PILOT SITES
MOST IMPORTANT
OUTCOME
GET THE CODE
http://badgeos.org
http://github.com/DallasMuseumArt/DMA-Friends
1 of 37

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Mw2014 friends analytics

Editor's Notes

  1. Is it possible to create a platform for engagement?Can such a platform support the diverse business models and unique expressions of engagement at a variety of museums?
  2. Share about the design processWhy did we think a badging system was a good idea?What appeal does Wordpress hold as a basis for this approachWhy should / shouldn’t we think about systems integration with ticketing / membership / web siteWhy didn’t we allow online Friends from the beginning?Why didn’t we choose to “do an app”.How about privacy? Aren’t we concerned about tracking?What sorts of features fell off the list during launch? (visualization, mobile, projections, other cultural participation, etc…) Should any of them be included in the project now?
  3. Relationship between activities and badges is awkward right nowSystem slowdowns under heavy loadData storage is both flexible, but perhaps not structured enoughCamera scanning of barcodesNo direct interface to Raiser’s EdgeCoupons are not currently unique to an individualMailChimp integration is desired, but not functioning efficientlyEngagement is one-level deep – need more complex paths of engagement more detailed engagement designNeed more kiosks
  4. You’ll all have a chance to become a DMA Friend todayYou’ll notice iPad kiosksLabels on the WallsPay attention to the customer service aspect of the visitExplain some of the deficiencies of the program as it exists today.Share some about the hard parts and things we’re still trying to figure out.What are the limits of what we should expect from this project? THIS IS HARD! FAIL EARLY FAIL OFTEN! BUILD SMALL BUILD FASTWe will show you metrics after lunch
  5. Summarize issues connected with data-sizeTalk about tools used and their relative advantagesChartioTableauPython + pandas, numpy, scipy, etc…
  6. Front-of-house recruiting successesMotivate visits to the permanent collexGeographic distribution of participation (infer census)Call and response in the data (exhibitions)Repeat Visits
  7. CRM + BadgeOS + ElasticSearch + VisMultiple locations – federated data reportingAnalysis framework examples
  8. A staff that’s learning how to iterate and use data to increase impact of mission fundamentals