Machine learning depends on quality data

Machine learning and artificial intelligence are the new hot topics in data analytics. These topics define subsets of data science that are primarily characterized by mathematical and statistical processes applied to data. In machine learning, algorithms replace humans in interpreting data. The expectation is that the machine will make purely data-driven ( better ) decisions…

How healthy is data driven healthcare

Over the past few years, the ethics of data use, particularly when related to big data analytics, has been a recurring theme. Most recently, I had a look at the cost of the Facebook data scandal. In this post, I moved away from a purely ethics driven argument to also look at the commercial impact…

Are you making the most of your mainframe data?

When most people think of legacy software, we think of software that is outdated and due for replacement. Yet, an alternative definition of legacy, particularly when it comes to mainframe application, is, simply, software that works. This is a definition that our partner, Syncsort, is proud of. The legacy DMX Sort product has been helping…

Good data or bad data – do you really care

A short post this week – I am still travelling Bias in decision making can trump data – as discussed in Is Bias the 7th data quality metric –  and Is High Cholesterol bad?   On the global stage – the analytics that predicted a Hillary Clinton victory in the 2018 US election was, in…

big data visualisation

Q and A on Data & Analytics

Let’s define data and analytics and how specifically they are interpreted within the business context. Within a business context, many people consider data and information to be one and the same. While one can argue the definition of each, when talked of in conjunction with analytics, data becomes a resource to be interrogated for a…