How Qual and Quant Can Work Together
Don't miss this month's London Business Analytics Group where we're joined by Alice Daish and Casey Scott-Songin. Check it out!
The value of data is more widely accepted than ever before with more organisations adopting data initiatives. Quantitative and Qualitative data methods are often pitted against each other. Quant vs Qual! Both qualitative and quantitative methods have unique strengths. We want to discuss how they can work together to help organisations harness of the power of united data insights.
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How Qual and Quant Can Work Together
Casey Scott-Songin
Casey Scott-Songin is Senior Manager: Data & Insight at the National Gallery, leading a joint team of quantitative and qualitative researchers to inspire data-driven decision making within the organisation. She is a social/cultural anthropologist with seven years experience in UX Research at organisations such as The British Museum and Which?.
Alice Daish
Alice Daish is a Data Scientist with experience in using data for decision making and organisational data transformation. Previously working at The British Museum focusing on making the museum data-driven. Co-Founder of R- Ladies Global and Leadership Team. Microsoft MVP. Registered Scientist previously trained in ecology and quantitative biology.
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SkillsCast
Don't miss this month's London Business Analytics Group where we're joined by Alice Daish and Casey Scott-Songin. Check it out!
The value of data is more widely accepted than ever before with more organisations adopting data initiatives. Quantitative and Qualitative data methods are often pitted against each other. Quant vs Qual! Both qualitative and quantitative methods have unique strengths. We want to discuss how they can work together to help organisations harness of the power of united data insights.
YOU MAY ALSO LIKE:
Thanks to our sponsors
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About the Speakers
How Qual and Quant Can Work Together
Casey Scott-Songin
Casey Scott-Songin is Senior Manager: Data & Insight at the National Gallery, leading a joint team of quantitative and qualitative researchers to inspire data-driven decision making within the organisation. She is a social/cultural anthropologist with seven years experience in UX Research at organisations such as The British Museum and Which?.
Alice Daish
Alice Daish is a Data Scientist with experience in using data for decision making and organisational data transformation. Previously working at The British Museum focusing on making the museum data-driven. Co-Founder of R- Ladies Global and Leadership Team. Microsoft MVP. Registered Scientist previously trained in ecology and quantitative biology.