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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 …
Data is growing at such an exceptionally fast rate and it is getting so pervasive that we are also seeing more data-driven insights appearing in the field of journalism, where journalists are starting to use “live” interactive data visualisations to illustrate or support the story they are sharing.
Gather round, gather round! We hear an eerie sound… I remember the old times around the holiday campfire when smooth talking uncle Alfred with his grand imagination and picturesque speech would tell spooky ghost stories that would make the children huddle closer and closer together, and well, ensure they don’t wander off exploring in the …
Since my initial post on data visualisation (http://www.martinsights.com/?p=492), I have noticed a steady increasing interest in the topic. This is especially noticeable in the business intelligence (BI) field, as more and more organisations are realising the value of using visualisation to positively affect their day-to-day interactions with data. In this post I focus on the …
As this is my last blog post for the year, I thought it would be fitting to explore how the Business Intelligence (BI) landscape has changed over the years, especially regarding toolsets. Having worked in the BI sector for numerous years – in the last five years the BI toolset landscape has not only expanded, …
At the ITWeb BI Summit recently held in South Africa, where I presented a paper on Business Analytics, an audience member asked whether Data Science was related to Data Journalism in any way. This blog explores Data Journalism and its relationship to Data Science and Data Visualisation.
The Big Data movement is transforming long-established data warehouse architectures into multifaceted analytical ecosystems, in which the time dimension has also seen been ratcheted up a few notches. In the good old days data was extracted from operational systems, batch-processed through a data warehouse, transformed to information and delivered to a relatively small group of …
