Please join us on Wednesday, May 24 at 17:30 for the first installment of our GIS Talks lecture series in the 2023 academic year. For this session, we will be joined by Dr. Youyung Hyun, a professor in the GIS faculty.
Dr. Hyun’s research talk will take place in room S502 in the Sotobori Building from 17:30.
Dr. Hyun’s research talk will cover the following topic:
Traditionally, organisations had clear boundaries across business and IT departments, leaving data analytics as the exclusive preserve of technical employees. In such a setting, firms mostly utilise internal data generated from an organization’s internal operations, such as finance, sales, accounting, etc. and make operational decisions based on these.
However, with the advent of big data from multiple sources like social media, Internet of Things, and mobile devices, external data flows into organisations and this involves deeper, novel insights about customers and market conditions. Firms can no longer solely rely on IT departments to generate meaningful insights from these external data because in many cases IT employees do not have the business domain knowledge to effectively understand customer data and create insights for more intelligent decisions. Therefore, many firms have recently tried to extend the use of data analytics beyond the scope of IT departments and encourage business employees to understand and use data analytics.
This is called data analytics democratisation (DAD) in my research. Capturing this “democratising” phenomena regarding data analytics, a lot of practitioners have documented about how organisations are realising it, for example, in terms of data analytics training, cross-departmental collaboration, development of user-friendly tools, etc. However, the majority of these do not adopt a theoretical lens to identify which elements are necessary for building democratisation of data analytics in organisations, and thereby there is a lack of comprehensive understanding on this topic.
To fill this gap, my research aims to conceptualise core principles for DAD based on theoretical underpinnings, and to describe how DAD can influence more intelligent decision-making in an comprehensive manner.
This talk is open to both GIS students and non-GIS students. To participate, please register here using the following Google link:
Questions may be addressed to the GIS office (email@example.com).
Please see the attached pamphlet for further information. We hope to see you there.