• 0
      1. Tu carrito está vacío.
    • artículo(s)0,00
May 14, 2020

Monitoring Resources

Resources for Market Segmentation, Competition and Audience

Data-Driven Marketing Resources

SEO Resources

Business Intelligence Resources

Data mining, what is it?

Data mining is a concept that refers to the process of extracting useful and understandable knowledge from large amounts of data that are stored in different formats in order to find patterns of behavior. Data mining relies on mathematical models for the deduction of such patterns and trends, which are not detected through traditional data exploration because the relationships are too complex or the amount of data is too large.

Being surrounded by information does not mean that we are using the right information. Bill Gates


Stages of data mining

Data mining processes are carried out through four stages defined below:

  • Know what the objective is and collect data. First, you must clearly define what type of information you want to obtain. Once defined, you must consider where you are going to collect the data you are going to work with.
  • Data processing and management. To work, you need to have a representative sample of data to carry out the analysis and once selected, you must choose what type of variables or model to use on the sample.
  • Choice of model. This stage is closely related to the previous phase. It tries to generate a algorithm with which, the best possible result can be obtained. An in-depth analysis of the variables to be used in the model must be carried out. Therefore, different tests of the algorithm such as time series or linear regression.
  • Updating the model. It's the last phase. From time to time the model must be updated so that it does not become obsolete. 

Advantages of data mining

Through the analysis of the data, patterns and trends can be applied in different areas such as the following:

  • Product recommendations that can be sold together in addition to generating recommendations. 
  • Segmentation of customers or events into groups through affinities of the same.
  • Selection of the best clients in order to offer them a more direct treatment either by email or telephone.
  • Searching for sequences through products that customers have placed in the cart to predict future behavior.

Data mining and KDD

The acronym KDD (Knowledge Discovery in Databases) refers to the concept of Knowledge Discovery in databases which refers to the process of identifying patterns that are valid, useful, novel and understandable. Data mining is one of the steps that make up the KDD, where the steps must be consecutive as shown in the following image.


Related articles and trainings:

Decision Trees

Ecommerce trends for 2020

Data Literacy: What is Data Literacy

Next Resources for Monitoring

+ What is Data Literacy?

Companies manage an increasing amount of data. However, collecting data is not the same as understanding it. Mastering word processing or spreadsheets is no longer enough.
Google Analytics For Ecommerce

Google Analytics offers a wide range of analytical tools that allow us to know in depth the number and type of visits we are receiving in our online store.

Download our free ebook: "Practical Guide to Selling Online"

We have developed a complete guide to these steps. It includes strategy questions such as the different business models available, how to create a marketing strategy and what data to analyze. You can download the ebook for free here:

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Get in Touch

Subscribe to the newsletter on ecommerce and digital transformation

Trends, guides
and latest news in ecommerce

And receive the first chapter of our book
«Connect your business- The digital transformation of sales»

Get in Touch




Connect your business.


In HUB 360 you will find all the technology and services for your e-commerce strategy.


Integrate your ecommerce with your ERP management system and all your channels to sell online.


BI Studio dashboards are your next generation business intelligence tool.


Project co-financed by the European Regional Development Fund. Beneficiary: Conecta Software Soluciones SLU. File number: EATIC2019010001. Approved Investment: 173.800,00 ?. Start date: 01/04/2019. Completion: 30/09/2020. This project aims to develop a multilingual user layer and dashboards for web and windows environments of Business Intelligence solution.

Project co-financed by the European Regional Development Fund. Beneficiary: Conecta Software Soluciones SLU. File number: PI2019010001. Approved Investment: 6,444.80 Start date: 17/10/2018. Completion: 16/10/2019. The present project aims at developing a connector software that automates the generation of virtual catalogues so that the company can offer in its Online Store products with a wide description and with images that make the user experience richer and more complete.


English (UK)