Category Archive: Analytics

Data silos and how to break them down

Data silos are pervasive in organisations around the world. At many of the companies where I have worked, these data silos have made it difficult to ensure system integration, data governance, and effective reporting. Following an insightful industry piece I recently came across, for my blog article this month, I decided to focus on and …

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Understanding the role of the CDO

Given the growing adoption of artificial intelligence (AI), and companies across industry sectors wanting to become truly data-driven, having a Chief Data Officer (CDO) becomes non-negotiable. However, not every organisation truly understands what this role encompasses.

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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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Data quality a priority for 2024

Despite the hype surrounding generative Artificial Intelligence (GenAI), I am finding in my industry reading that many industry analysts are predicting that data quality (one of my favourite topics) will remain a key priority for this year – especially when it comes to data management and governance.

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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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The uniqueness of modern data quality management

Last month I addressed how data quality is perceived by different specialists inside the organisation. This month, I turn the spotlight onto what makes modern data quality management different from traditional approaches. Edwin Walker’s Data Science Central article ‘Difference between modern and traditional data quality’ provides an excellent starting point.

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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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More evolving data-related roles

Last month, I discussed the evolving roles of the Chief Data Officer (CDO), Chief Analytics Officer (CAO), and the Data Engineer. In my blog post this month, I will delve deeper into several of the other roles related to data engineering, as well as the evolution of the role of the Business Analyst.

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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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