Category Archive: Data and information strategy

Data and information strategy

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 …

Continue reading »

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 …

Continue reading »

Rethinking the opportunities bubbling below the surface of data lakes

Long-time readers of my blog can likely recall my scepticism around data lakes when they first emerged. However, a lot of water has flowed into the space since then, motivating me to start investigating the area in-depth. My early criticisms against Hadoop-based data lakes were that they were too batch-oriented to cater for business analytics …

Continue reading »

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 …

Continue reading »

Telling powerful stories with data visualisation

Long-time readers of this blog know I’m a big advocate for using data visualisations to better narrate the ‘stories’ that are hiding inside organisational data. My interest was therefore sufficiently piqued when I came across this article on the Bulletin Expert Contributor Network. And while it doesn’t make any wild discoveries, I enjoy the way …

Continue reading »

Demonstrating value as a Chief Data Officer

The year has started with the proverbial bang. But even though the pace has been furious, there are many constants in which we can find comfort. One of these is how critical data is to every organisation regardless of industry vertical.

Continue reading »

Unpacking Gartner’s latest tech trends

It is that time of year again when I like to #trendspot for the forthcoming year. And I’m always interested to read what Gartner predicts, so it was with great interest that I read their article titled Gartner Identifies the Top Strategic Technology Trends for 2022. My initial thought was, “Wow, that is a lot …

Continue reading »

The 4 big steps to become data-driven

Readers of this blog are no strangers to me discussing the importance of becoming a data-driven organisation or the steps required to become one. However, a Forbes article really brings this all home by discussing the big four aspects which this could entail.

Continue reading »

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).

Continue reading »

Improving data literacy remains important

We all know the importance of accessing ‘clean’ data and the hidden insights it contains. But despite this, in my experience, many companies are still not comfortable with the data literacy skills of their employees. Often, this comes down to not understanding where to begin when it comes to boosting data literacy across all the …

Continue reading »

Older posts «

» Newer posts

hope howell has twice the fun. Learn More Here anybunny videos