How big data analytics combats cybercrime?
Big data analytics is used to make sense of the growing volume of data to generate profitable insights. However, did you know that it can protect against cybercrime as well? With over 4.5 billion data breaches in the first half of 2018, cybercrime has grown in both frequency and scope, breaching conventional defences and exposing […]
How big data and predictive analytics improves DevOps practices
DevOps practices are becoming more and more prominent in software development and with good reason. This quiet revolution in software development has allowed them to develop software at a rate that meets consumer expectations. However, we have not discussed the impact of big data and predictive analytics on DevOps. In this blog post, I am […]
How data science and big data analytics leads to better tax fraud prevention
Tax evasion is a huge cost to the Australian government. In 2018, ABC revealed that evasion and fudgers cost the Federal government over $8.7 billion in a single year, prompting the question: Is there a way to tackle fraud to cut losses? However, it is not just tax evasion that is causing the problem. Tax […]
How to maintain high data quality and consistency
You can invest in the latest big data tools and adopt the best practices but it wouldn’t matter if you were plagued by low data quality. Data analytics tools help analyse data and churn out meaningful insights, but the findings are dependent on the quality and consistency of data. If the data quality is poor, […]
Five Key Methods for Big Data Optimisation
Big data is defined by the three big Vs: Volume, velocity and variety. The volume stands for the sheer size of the data, velocity refers to how fast data is generated and, finally, variety includes structured and unstructured data. The volume of big data is tremendous, the amount of data generated by US companies alone […]