Transforming data – the foundation of analytics work
Raw data is of little value unless it is transformed into valuable insights. In this section, we look into why transforming data is such a crucial step within the data value chain.
A key step in the data value chain
The digitalization of businesses, rapid advancements in technologies such as the Internet of Things (IoT), and the proliferation of smart devices, social media, and advertising platforms have generated abundant data that companies can leverage to understand their customers better, optimize their operations, and enhance their products and services. These phenomena, together known as big data, have revolutionized how organizations operate, make decisions, and generate revenue.
However, collecting data is not enough to create a competitive edge in the market. The zettabytes of data that organizations collect daily must be transformed into actionable insight to be of any value. Quantity does not equal quality...
