Data mining is the set of techniques and technologies that allow you to explore large volumes of data, automatically or semi-automatically.
The purpose of data mining is to analyze repetitive processes or trends in order to solve very diversified problems like the prediction of customer behavior, the detection of fraud, or preventive maintenance… These algorithms facilitate informed decision-making. At the origin of data mining are artificial intelligence, statistical analysis and machine learning. AI is able to create algorithms at reasonable costs. Statistical analysis can be used to model the results obtained. Finally, machine learning allows you to go even further in data analysis.
Thanks to data mining, you will finally be able to automatically know which items your customers tend to buy together. You will optimize your procurement and storage processes. It is therefore ideal to plan more realistic sales forecasts.
QWhat a pleasure to finally know the profile of your customers, their preferences, the frequency of their purchases… Your marketing department will be delighted to take advantage of the assets coming from data mining. Here comes the times for the segmentation of the database for more targeted, more personalized campaigns. In short, your ROI will be much better and your customers will be satisfied.
Con tanta nueva información, podrás hasta inventar el producto o servicio que tu cliente aún no sabe que existe … Customiza tus productos o servicios de acuerdo con las necesidades futuras de tus clientes más rentables – Es un riesgo, pero con tantas estadísticas y análisis…
As a conclusion, data mining is very useful to analyze data, and thus move from a logic of “big data” to a logic of “smart data”. Of course, the ideal is that all data is centralized into a single tool, the CRM!.
** fuente: sinnexus