This talk was presented at the We Are Museums Conference in May-June 2015 in Berlin, Germany.
It seems that today’s museums are awash in data. With so many sources of data available to us, museums can easily feel that they’re drowning in numbers, but starved for real insight. This talk will present practical ways that museums can begin to collect and analyze data to help illuminate their own practice and impact with visitors. Using a unique visitor loyalty program at the Dallas Museum of Art as a case study, this talk will raise questions about what “big data” in the cultural sector really looks like and what insights it might provide to museums.
Learn more about the DMA Friends program
https://www.dma.org/visit/dma-friends
Read the article of Robert Stein about the DMA Friends programme http://rjstein.com/portfolio/dma-friends/
Scaling API-first – The story of a global engineering organization
Charting the Course: Using Data in the Museum to Explore, Innovate, and Reach New Audiences
1. CHARTING
THE COURSE
Flickr Credit ~halldororn
USING DATA IN THE MUSEUM TO
EXPLORE, INNOVATE, AND REACH NEW
AUDIENCES
Robert Stein
Dallas Museum of Art
@rjstein
2. 1. SCALE
2. MAKING FRIENDS
3. DATA IN THE ARTS
4. MISSION IMPACT
5. COLLABORATION
53. 10%Dallas = 7.2M People - 720k Projected FY15 Attendance
Up from < 7% in FY12
ATTENDANCE
54.
55.
56. Have You Been to the Museum Before?
39%
16%
16%
8%
21%
First Visit
Once Before
2-5 Visits
6-10 Visits
More than 10 Visits
0% 10% 20% 30% 40% 50%
2015
4%
11%
25%
20%
11%
29%
Never
1 time
2-3 times
4-6 times
7-10 times
11 or more
0% 5% 10% 15% 20% 25% 30% 35%
2008
57. Age at the DMA and in DFW
14.0%
14.3%
14.7%
14.6%
16.8%
27.5%
12.59%
7.16%
9.36%
21.48%
46.42%
2.72%
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
60<
50-59
40-49
30-39
18-29
17>
Age DMA
Age DFW
58. Age at the DMA in 2008 and
Today
12.59%
7.16%
9.36%
21.48%
46.42%
2.72%
0% 10% 20% 30% 40% 50%
60<
50-59
40-49
30-39
18-29
17>
2015
18%
22%
17%
17%
16%
9%
0% 5% 10% 15% 20% 25%
65+
54-64
45-54
35-44
25-34
<25
2008
*note – the scale of ages surveyed in 2008 differ from the ages sampled in 2015
59. Race DMA in 2008 and Today
14%
2%
9%
13%
62%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Multiple Races
American Indian
Asian
Black/African American
White
2015
2%
1%
2%
4%
85%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90%
Other
American Indian
Asian
Black/African American
White
2008
60. Race at the DMA and in DFW
2.5%
0.1%
5.2%
0.5%
14.4%
69.8%
13.77%
0.50%
9.35%
1.56%
13.25%
62.08%
0% 10% 20% 30% 40% 50% 60% 70% 80%
Multiple Races
Haiiwan/Pacific Islander
Asian
American Indian
Black/African American
White
Race DMA
Race DFW
61. Ethnicity at the DMA and in
DFW
26.6%
26.88%
6.00%
0% 5% 10% 15% 20% 25% 30%
Hispanics DFW
Hispanics DMA
Hispanics DMA 2008
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?
Summarize issues connected with data-size
Talk about tools used and their relative advantages
Chartio
Tableau
Python + pandas, numpy, scipy, etc…
Front-of-house recruiting successes
Motivate visits to the permanent collex
Geographic distribution of participation (infer census)
Call and response in the data (exhibitions)
Repeat Visits