What is data mining used for?#
This process sifts through your data to uncover hidden opportunities and risks. It can identify your most profitable customer groups, predict which clients are likely to leave, or reveal purchasing patterns that can be used to increase sales.
How does data mining work?#
Data mining uses a combination of statistical methods and machine learning algorithms to analyse data from different angles. The first step involves cleaning and organizing the raw data from sources like your sales system, website analytics, or customer database to ensure it's accurate and consistent.
Once the data is prepared, specialised algorithms are run to perform specific types of analysis. For example, some algorithms look for "associations" (like discovering that customers who buy coffee in the morning also tend to buy a pastry). Others create "clusters" by grouping similar customers together based on demographics and buying habits, allowing for more targeted marketing. The results are then presented as actionable insights.
How is data mining different from business intelligence?#
Data mining is primarily focused on discovering new, previously unknown patterns and predicting future outcomes from data. In contrast, standard Business Intelligence (BI) is generally used to describe past performance by answering specific questions you already have, such as "What were our total sales in Q2?" Data mining helps you find the important questions you didn't even know to ask.