Category Archive: Data science

Data science = Data analysis "plus"

Data and Analytics in Healthcare – conference review

I recently had the privilege to attend the Data and Analytics in Healthcare conference hosted by Corinium Intelligence in Australia. Following this, I wanted to use my blog piece this month to discuss some of the key lessons and insights shared during the event. I’ll jump straight in. Data governance and ethics Of course, it …

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Crystal-ball gazing for 2024

We have approached that time of year when it’s always interesting to delve deeper into what the analysts see in their crystal balls when it comes to the trends and technologies to keep an eye on for the new year. I have reviewed several industry articles as resources around this, and let’s just say that …

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Data quality is in the eye of the beholder

The quality of the data we work with has a significant impact on the quality of the insights we can extrapolate for the business. Following on from my recent mini-series on the evolving data-related roles, it was interesting to come across Edwin Walker’s article on Data Science Central titled: ‘How do different personas in an …

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The evolving role of the data scientist

This month, I am wrapping up my three-part series on evolving data-related roles by focusing on one of the fastest changing and popular roles under discussion in the industry today – the data scientist.

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Examining the continually evolving data-related roles

In my quest to continuously learn more about data-related roles, I have recently come across two very interesting articles that suggest that data-related roles will be changing throughout the remainder of the year. These pieces share some great insight, and I couldn’t resist the opportunity to share my additional views and so in this, the …

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Complexities behind establishing the CDO role

Regular readers of my posts will know that I’m a big advocate of the Chief Data Officer (CDO) role. Also sometimes referred to as the Chief Data and Analytics Officer (CDAO), establishing this role and getting it woven into the organisational fabric doesn’t happen without challenges.

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Conference report back: The practical ways data is transforming healthcare

I was fortunate to have been invited to attend the recent ‘Data & Analytics in Healthcare’ conference in Australia which took place at the end of March. The event was positioned as a ‘deep-dive into the data transformation taking place in healthcare across Australia – and aimed to explore efforts to transform the use of …

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Unpacking the top data trends for 2023

As the year rushes to an end, it is interesting to see what the analysts are indicating as the top expected trends for next year. With that in mind, I recently took a deeper look into two independent trends focused papers I came across – ‘The Top 5 Data Science And Analytics Trends In 2023’ …

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Soft skills key differentiator of good data analytics professionals

The technical skills required to be a data analytics professional form the cornerstone of training approaches. If these individuals are not proficient in things like data wrangling, analytical approaches, modelling techniques, data exploration, or data visualisation, then they will likely not qualify. But that is just one part of what the job requires. I believe …

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Can an organisation be data-centric without a CDO?

Regular readers of my blog will no doubt know that due to my immersion in the data-information-insights spectrum, I’ve been very interested in data centricity and the role of the Chief Data Officer (CDO) for some time. On reading a recent industry piece about the role of the CDO, a question that came to my …

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