Which two tasks can help a customer understand their data using Oracle Analytics Cloud?

Performing analysis using trend lines and clustering is a fundamental approach for customers to understand their data in Oracle Analytics Cloud. Trend lines help visualize patterns over time by effectively summarizing data points and showing general trends, which can indicate whether certain metrics are increasing, decreasing, or remaining stable. This understanding allows users to make informed business decisions based on anticipated future performance.

Clustering, on the other hand, is a powerful technique for grouping data points that have similar characteristics. This can reveal insights about the underlying structure of the data, such as identifying different segments within a dataset that behave differently. For example, a customer might find distinct groups within their sales data to tailor marketing strategies for each segment more effectively.

Together, trend lines and clustering provide robust analytical capabilities that enable customers to analyze their data deeply, leading to improved insights and decisions based on the observed patterns and relationships.