Insights
Technical Articles, Viewpoints, Best Practices
From time to time, our team publishes interesting articles, some technical, some non-technical, and often real-world experiences while working on a project. Enjoy reading and keep an eye on our linked-in.
Do not let numbers fool you
Numbers and statistics are the ultimate truth with the condition that they are presented neutrally. Numbers can be very simple to understand yet there are numerous methods available to manipulate their representation which can fool anyone if not everyone. Ronald Coase...
The Art of setting up a Data Engineering Practice
Background Modern Data Engineering involves creating and maintaining software and systems for accessing, processing, enriching, cleaning data and orchestrating data analysis for business purposes. Data engineers build tools, infrastructure, frameworks, and services....
Data Science and Artificial Intelligence: A Technology Perspective
Background The availability of petabytes scale of structured and unstructured data has lent itself for large-scale harnessing thanks to Data Science and AI. Advances in parallel and distributed computing, and the algorithms to process data of all types including text,...
Data Engineering as the Bed Rock for Digital Enterprises
Background Organisations of all types – be it for-profit, not-for-profit, or Governmental – have all been shaken by the pandemic for over a year now. The need to be in constant touch with the end-users or customers, as well as the key service delivery agents or...
Business Intelligence and Analytics – Part II or II
Background The success of a BI and Analytics system or platform is characterised by how well it has been architected and built, by considering a variety of factors. Some of these are listed below: Data access: Does it account for volume, variety, velocity, veracity...
Business Intelligence and Analytics – Part I of II
Background Business intelligence (BI) is an umbrella term that combines architectures, tools, databases, analytical tools, applications, and methodologies. It was coined first by Gartner group in the 1990’s. It is a content-free expression, so it means different...
