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How can we dig insights from a flood of information? With every company now leveraging platforms and tools to run their workflows, data shortage is not an issue and it…

“Discovery” is a term used to describe an introductory phase of a project focused on aligning expectations, exploring assumptions and agreeing on goals and scope. Those in the know often…

There is more data available than ever before but companies are struggling to use it. Data storytelling can help.  Every day 2.5 quintillion bytes of data are created globally. It’s…

Once coined the sexiest job of the 21st century, data scientist has become one of the most popular job fields in recent years, as organisations of all industries have come…

First let’s start with the question: Why do you need to consider a strategy for your data? An abundance of data and computing sources has unlocked tremendous potential. The idea…

The emergence of Data Scientist and Machine Learning Engineer roles  From 2013 to 2019, data science postings on Indeed’s website have skyrocketed 256%, demonstrating a growing demand for data science-related…

In any business, there will be at least one word or metric that has a different meaning depending on which team you’re talking to. As an analyst, it’s your job…

Introduction If you use or are interested in an agile approach to delivery, “epic” is a term you want to understand. Epics are a way of organising large items of…

What is “Basic Analytics”? Basic analytics, most commonly just referred to as analytics, focuses on understanding historical data. This understanding is achieved by extracting valuable insights from aggregated, clean datasets.…