When I first saw this piece on Arts Professional about data driven decision making, I thought maybe the author, Patrick Towell, was cribbing Drew McManus and Ceci Dadisman’s recent conference session on the same topic.
He even referenced the gut trusting HiPPOs (Highest Paid Person’s Opinion/in Office).
I might have only had myself to blame having brought attention to it with my inspiring post on the subject.
But Towell quickly moves away from that subject to address a pretty significant barrier to using data to drive decisions–people’s comfort levels accessing, interpreting and using the data.
Towell cites respondents to a survey of people working in cultural organizations in the UK:
Some of those respondents work in an organisational culture that doesn’t embrace the use of data: “Data gets bad PR. The greatest barrier to usage is lack of fluency and comfort with data as a medium to tell stories.” For others it was systems being difficult to access and join up: “We can’t effectively understand or engage with our audience without tools to collate, analyse and use our audience data.”
Despite this discomfort, many respondents were eager to use data to support their activities:
Interestingly, many did consider its use in artistic and cultural programming: “Data could be used to inform our programming schedule, driving more revenue.” Audience development was an area where people saw a clear benefit: “Our visitor and sales forecasting is based in fairyland – better datasets and data analysis could be more realistic.” People also thought they could better justify the use of public money through more defensible evidence.
What Towell says his company has done is started to prototype a chatbot that will “sit over your data” as a “kind of Alexa for cultural managers” and help a wider range of people in an organization feel comfortable accessing it. The example they use in the screenshot of the prototype queries the chatbot about how many new members visited shows in December.
If they can get this to work, it would be awesome. If you were able to feed budget numbers into it so just about anyone could ask about revenue and expenses for different combinations of projects, it would make completing grant reports so much easier. Especially if it potentially spread to onus of completing reports around the organization.
The biggest hurdle I see is that funding organizations have such diverse definitions and conditions associated with their reporting, programming a bot AI to keep it all straight might be cost prohibitive.
Still, it is a pretty intriguing idea. Some time in the last couple weeks I saw someone mention they were visiting the websites of arts and culture organizations to see how many used chatbots to facilitate the sale of tickets. (Things like, “when are Thursday performances of Hamlet in June and July?”). The value of chatbots for public facing interactions is rather obvious, but I suspect few people have considered their utility for internal information sharing.
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