5 Practical Uses for Predictive Analytics in Marketing

By | January 31st, 2017|Blog post|

The unprecedented amount of data available today coupled with new technologies means there is a greater opportunity to use data to drive value for your customer and business. Marketers no longer want to know what happened. They want to know what will happen as this is where the true value lies. Waiting

A Guide to Version Control – Part 1

By | January 31st, 2017|Blog post|

This is the first installment of a three part series on version control. In this day and age computers are everywhere and each of these computers need a set of instructions to perform tasks. These instructions are developed in the form of textual source code and often require a great deal of

Leveraging Spark Machine Learning Using Talend

By | January 30th, 2017|Blog post|

From the weather to the lottery, it’s human nature to want to predict the future. We try to change our behaviour or decisions to influence our future in a (hopefully) positive way. Businesses are no different. They want to predict what a customer wants before they ask, the resources they need and

Orchestrating an End-to-End Cloud Analytics Solution using Data Factory in Microsoft Azure

By | January 30th, 2017|Blog post|

Azure Data Factory is a cloud-based service that ingests data from multiple sources, transforms the data using MapReduce & machine learning and publishes the output to visualisation tools & BI applications. With Data Factory, organisations can utilise a single orchestrating engine for moving and transforming big data. Since the service is based in Azure, it