Leverage machine learning, cloud to bolster decision-making - ITWeb Africa

In a time when data has been labelled'the new oil', businesses are scrambling to implement effective forward-thinking data management strategies that can deliver real-time insights and business value to decision-makers to drive business strategy, increase revenue, and grow profits. Data modellers have become indispensable assets to enterprises wishing to leverage their data to drive competitive advantage. However, there is often a disconnect between the data modellers analysing and extracting value from data, and the business decision-makers who need to utilise data as a strategic asset to drive business outcomes. Historically, businesses owned vast amounts of structured and unstructured data in their ERP, transactional, and other business systems, which was brought together in a data warehouse. Here, a range of different data modelling tools, from the conceptual (showing relationships between different entities) to the logical (looking at certain attributes within the data) and physical (referring to how data is represented and stored using a database management system) were applied to create a framework within which analysts could extract business value.