Final answer:
Big data technologies such as data warehouses, data marts, and data lakes can be used by businesses for customer analytics to gain insights into customer behavior and preferences. This allows businesses to make data-driven decisions and enhance operations based on insights derived from large datasets.
Step-by-step explanation:
An example of a business application of big data is customer analytics. Companies can use big data technologies such as data warehouses, data marts, and data lakes to store and analyze large volumes of customer data. This allows businesses to gain insights into customer behavior, preferences, and needs, which can inform marketing strategies, product development, and customer service.
For example, a retail company could use a data warehouse to store customer purchase history, demographic information, and online browsing behavior. By analyzing this data, the company can identify patterns and trends, such as which products are frequently purchased together or which marketing campaigns are most effective. This information can then be used to personalize marketing messages, optimize inventory management, and improve the overall customer experience.
In this way, the application of big data technologies like data warehouses, data marts, and data lakes is necessary and beneficial for businesses as it enables them to make data-driven decisions, gain a competitive edge, and enhance their operations based on insights derived from large datasets.