Deciding on the best approach to data analysis
The approach to data analysis determines the quality of findings and insight. While technology and expertise are important, there are only two-thirds of the equation. The biggest determining factor is the approach. How do organisations use technology and expertise to accomplish business objectives? Putting together the right strategic initiatives can make the biggest difference for […]
The challenges of using data lakes in big data management
Data lakes are the key to streamlining data collection and analysis. However, there is no denying the obvious benefits of these lakes but, like most technologies, there are some disadvantages to using a data lake. It’s important for organisations to be aware of its shortcomings before investing in it. This blog post attempts to address […]
Health analytics – The difference maker in the fight against the Coronavirus
With over 90,000 cases and 3,000 deaths (and counting), the coronavirus has claimed its share of victims across the world. While there is no denying the gravity of the situation, it’s important to take a step back and phrase this problem in the appropriate context. You see, this is not the first time the world […]
What is data cataloguing? Is it necessary for analytics?
Did you know that 2020 is expected to produce 40 zettabytes of data? A massive increase compared to the 1.2 zettabytes of data produced in 2010. Why is there such a high data volume expected? Between the internet, social media, smartphone usage and IoT devices, each person is expected to produce 1.7MB of data per […]
The best way to handle missing data
Missing data is an inevitable part of the process. As data researchers, we pour a lot of resources, time and energy into making sure the data set is as accurate as possible. However, data inevitably goes missing. As someone who has been handling data analytics and overseen dozens of research projects for several years, missing […]