As humans, we tend to ‘trust our gut’ and most of the time it is right, but not always. By making decisions based on personal experience and judgment, we risk ignoring important information or pay disproportionate attention to things that steer us in the wrong direction.
Data is a critical tool for combating human bias. However, bias can still infiltrate data-driven decision-making. How can we avoid this?
At QlikWorld, Dr. Hannah Fry and Yassmin Abdel-Magied discussed this topic and shared their advice to preventing data bias. Take a look at the key takeaways in this blog from Paul Barth, Qlik’s Global Head of Data Literacy and let us know your thoughts in the comments: Searching for fairness – five ways to avoid bias in data decision-making
If you didn’t catch the data literacy breakout sessions at (virtual) QlikWorld last month, we’ve spotted that they’re now available on-demand here: https://bit.ly/2YTp3KM
Don’t miss @chief_nerd_officer’s insightful talk on ‘Data Literacy – Enterprise Best Practices’ amongst many other data literacy sessions including ‘7 Steps to Reaching your Data Literacy Goals’ and ‘The Human Impact of Data Literacy’.
Did you attend? What was your favourite session from the event? Would love to hear your thoughts!
The lack of data literacy among the healthcare workforce has always been a serious concern for the sector. As this article in Forbes says, more than ever, health organizations must rapidly become more data-driven in order to improve care for patients: https://bit.ly/2LilHcV
Qlik’s Jordan Morrow @chief_nerd_officer says that while data has the ability to unlock massive potential in the NHS, few organizations are actively investing in their employees’ ability to confidently use data. What can healthcare organizations – NHS Trusts and others around the world – do to engage more staff in understanding the value of data? Thoughts welcome.
I spotted this new research which has found that companies across EMEA are struggling the unlock the opportunities in their data: https://www.information-age.com/companies-across-emea-lack-tools-to-unlock-data-opportunity-123489497/
Reasons for this included being unable to translate data into actionable insights, despite recognising the potential of data to make their companies more efficient, innovative and customer centric. Furthermore, over a third (36%) of those surveyed said that not having the skills in place to manage the explosion of data was one of their biggest concerns.
Does this chime true with your own workplace experiences? What tips do you have for others who are trying to combat this issue?
Let us know!
With COVID-19 and the ongoing global pandemic, we are being bombarded with more data than ever before, either in the media or across our social platforms. This week we launched our new webinar series, ‘Know Your Data’, to help people unpack the language used to describe charts, data and tables.
In our first episode, Kevin Hanegan, Learning Advisor to the Data Literacy Project & Chief Learning Officer at Qlik, is joined by Alan Schwarz, member of the Data Literacy Project Advisory Board and Pulitzer Prize-nominated writer, formerly at The New York Times, to discuss the terms ‘Flattening the Curve' and ‘Exponential Growth’. Check it out here:
We would love to hear your thoughts! And stay tuned for further episodes.