Category Archive: Business intelligence

Business intelligence

Understanding the causes and risks of data waste

In recent years, there has been a significant focus on individuals and organisations to reduce waste in support of global climate change and environmentally conscious efforts. In my blog post this month, I turn the spotlight on a different sort of waste. This is something which every business around the world struggles with – data …

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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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Managing data-centricity during down-sizing

In my blog post this month, I will be discussing how an organisation can stay focused on improving data-centricity even if it is embarking on down-sizing initiatives. It stands to reason that during tougher economic times it is much more difficult to motivate for an upgrade to data-related infrastructure, an increase in staff, or even …

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A deep dive into responsible data and analytics

Having done some work in permaculture and sustainability, I was very interested in this paper that I recently came across entitled ‘Responsible Data and Analytics’. We know that data and analytics can do a lot to enrich our lives, increase productivity, even assist in improving health. But if done incorrectly, or deployed irresponsibly, it can …

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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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Understanding the essential KPIs for data and analytics

To be successful, any organisation must be able to measure what it manages. This is especially true when it comes to data – easily one of the most significant assets any digitally driven business has access to. I recently came across this Gartner report that examines the five data and analytics (D&A) KPIs that every …

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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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Finding balance between data science and data engineering

Previously, I wrote about the two-tiered data lakehouse with an analytical sandbox and a curated data warehouse in the second layer – the one for productised BI and the other for data science work. I was therefore intrigued when coming across a Forbes article titled ‘Three Keys to a Harmonious Relationship between Data Science and …

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Finding value in the data lakehouse

As you may have gathered from my previous post, I have become very interested in cloud-based data lakehouses. It was therefore with a keen interest that I read the article ‘Five Effective Ways to Build a Robust Data Lake Architecture’ on Enterprise Talk. While initially I was hoping that the author was going to review …

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