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Showing posts with the label analytics tools

Utilising human centred analytics for effective measurement and reporting of ESG

  This article is a shortened version of one that first appeared in the ICAEW blog in 2023  https://www.icaew.com/groups-and-networks/communities/data-analytics-community/community-insights-and-announcements Human Centric Analytics (HCA) would seem a natural paradigm to use when defining, measuring, and reporting on Environmental and Social Governance (ESG) as it ties together a holistic societal approach in tackling social and environmental sustainability, and the need for reporting and measuring the levers of change in business. What methods can we use to help us to do this? How can we ensure that behaviours are embedded alongside measurement protocols such that change becomes real, and not just a ‘tick box’ exercise, hence creating more sustainable and less risky business throughout the corporate landscape? In this months blog our founder and chair, Christina Phillips, ponders these questions. As Eli Goldratt famously said “tell me how you measure me and I’ll tell you h...

Guest Blog: Balancing Expectations with Abilities when teaching introductory business analytics to non-specialists

This month we are proud to present a thoughtful blog post from one of early members, Dr Sam Buxton. Sam's words resonate with our presentation earlier this year on what business analytics skills companies want and what tools they use. That talk covered the results of a survey that we ran with over 200 participants. The results showed that companies most value the ability to use spreadsheets, i.e., Excel, a solid knowledge of statistics and the ability to visualise and present data well.  Best, Chris, Chair of BAEF  As an educator of business analytics, it is important to consider the environment in which we teach. Over the summer, there have been some interesting talks on AI in education, embedding business analytics in accounting programmes and what skills and tools do companies require of business analysts. This post focuses on students’ perspectives of the tools they think they need. Teaching business analytics to non-specialists at both undergraduate and master’s levels ...