Businesses collect customers' data through various channels, including physical retail, e-commerce, and social networking. Businesses can get insights into consumer behaviour and provide a more personalised experience by employing data analytics to generate complete customer profiles from this data.

Data analytics can help businesses steer business decisions and reduce financial losses. Predictive analytics can predict what might happen in reaction to business changes, while prescriptive analytics can recommend how the firm should respond to these changes.

Data analytics can help organisations enhance operational efficiency. Data collection and analysis of the supply chain can reveal where manufacturing delays or bottlenecks occur and assist in identifying where future problems may arise. Suppose a demand projection indicates that a specific vendor cannot handle the volume required for the Christmas season. In that case, a business may supplement or replace this vendor to avoid production delays.

In business, risks are ubiquitous. Among them are customer or staff theft, uncollected receivables, and legal liability. Through Data analytics we can avoid hazards and take preventative steps. A retail chain, for example, could use data analytics to determine which outlets are most vulnerable to theft and then evaluate the level of protection required at the stores and whether it should divest from any sites.