Category Archive: BI strategy

Business intelligence strategy

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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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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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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Vital capabilities for advanced analytics success

Last month I looked at what organisations can do to overcome some of the barriers to tailoring data management for advanced analytics. This built on from the first blog on the advanced analytics topic, where I discussed how important data management is for successful advanced analytics. In the final piece of this series based on …

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