Research Topics:

Data Analysis | Software-Data Analysis

Content Type:

Glossary

Data Mining Definition

The process of searching large volumes of data looking for patterns and other useful information. Sometimes referred to as text analytics.

Data mining is the process of searching large volumes of data from a wealth of results in hopes to discover patterns, relationships and insights. Advanced analytical techniques are relied upon to extract information that can guide marketing strategies and decision-making. Data mining moves beyond surface-level insights to delve deep into data. It’s intended to uncover nuances that manual analysis might miss.

Who relies on data mining?

Marketing professionals and analysts, as well as various types of businesses, use data mining to assist in uncovering hidden trends in customer behavior, preferences and purchasing patterns. Insights gathered during this process can be used to develop marketing campaigns and boost customer experiences.

Why should I care about data mining?

Data mining enables marketing professionals and researchers, businesses and other entities  to understand customers and target markets better. What’s more, effective data mining can help business leaders to predict future trends, optimize promotional efforts and allocate resources more effectively.