There now exists a significant opportunity for organisations to radically improve the way they run their businesses and interact with their users. From real-time analytics to machine learning and AI, whether it’s making predictions about the future or automating work that previously required costly human resources, modern data technologies allow companies to make intelligent use of their data.
Realising this potential, however, is not without its pitfalls. Many organisations have begun their data journeys only to see their efforts faltering and struggling to realise real business impact. Promising proofs of concept and prototypes often fail to develop into real solutions that integrate with business systems. So, what can we do to maximise our chances of success in this area? One of the critical tools in building solid foundations for data solutions is the area of data engineering. This helps us turn our data ideas into real-world solutions.