Category Archive: Business intelligence

Business intelligence

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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The advantages of data fabrics

In my blog post last month, I started looking at the concept of data fabrics to get an understanding around what it is all about. This month, I continue with the discussion, focussing on the advantages of data fabrics. The points I have outlined below are based on a very good article written by Lori …

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Unlock new business insights through data fabrics

Seeing as I’m currently working at large for a federated organisation with significantly different and siloed business streams that are managed through a plethora of different systems – ranging from 30-year-old mainframes to modern in-cloud platforms – the topic of data fabrics is very interesting to me. Even more so given how I’m coming from …

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Making data FAIR

Last month, I examined the importance of improving data literacy and briefly discussed five strategies organisations can employ to help achieve this. For my October piece, I want to build on these concepts and turn my attention to what makes data FAIR (findable, accessible, interoperable, reusable).

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Debunking data analytics myths – Part 1

Experts in the data space know the importance of data and its analysis to help drive business growth and competitive advantage. Of course, data analytics is not something that can just be switched on and happen overnight. It does come with challenges, and overcoming those challenges are instrumental to a project’s success.

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The rise of the Chief Analytics Officer

Data is all around us. Whether kept on-premise or hosted across a multi-cloud environment, data and its analysis have become some of the most critical business deliverables today. However, given the rapid digitalisation efforts many organisations have embarked on over the past 12 months, Chief Information Officers (CIOs) have been focused on ensuring a distributed …

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