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Showing posts with the label analytics skills business needs data skills data tools analytics tools survey results

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...

Blog of talk "What business analytics skills do companies require and what tools do they use?"

Today we will be looking at a BAEF webinar focusing on the types of analytics that companies are using today and the kinds of skills that they require from their analysts.  The webinar was live streamed on the 24 th June 2024 and presented a study by Dr Christina Phillips and a Master’s student that she supervised.  Zhuoyi Deng started off by giving an account of what the study was about and then onto its main findings.   The study started off as a project to investigate what companies are doing in terms of their analytics and the type of skill sets that they would like to see in their analysts.   This is from a background of massive amounts of data being generated every day (some 2.5 quintillion bytes a day!) and how some 90% of the worlds current data was generated within the last two years.   This has placed a demand from companies for analysts who are able to make sense of all this information (it is estimated that this will translate into some 300K new p...