Data analytics in businesses help uncover competitive intelligence, actionable insights and trends. Different types of analytics enable businesses to gain an edge over their competitors. In the “data first” era, data-driven insights and decisions have become the key drivers of business performance. This post reviews the different types of data analytics routinely used in enterprises.
The Raw Data for Different Types of Analytics
Every business collects a vast range of data, namely sales data, supply chain data, customer data, employee (HR) data, transactional data, and much more. The data sources or channels can be numerous—sensors, applications, surveys, emails, or chats. The data type can be structured, semi-structured, or unstructured. Businesses have to rely on data analytics to make sense of huge piles of collected data.
