Role of Web Mining in Business Intelligence Simplified 101

Nicholas Samuel • Last Modified: December 29th, 2022

Web Mining in Business Intelligence - feature image | Hevo Data

There is a lot of data in web documents and services. This means that the application of data mining techniques on these can help one discover useful information. It can help a business discover meaningful insights to understand its customers, products, and operations better. The business owners can then take the necessary measures to make corrections and improvements where necessary. This is good for the smooth running and growth of any business. 

In this article, we will be discussing Web Mining in Business Intelligence in detail. This will let you know how to use web mining for the benefit of your business.

Table Of Contents

What is Web Mining in Business Intelligence?

Web Mining in Business Intelligence Logo | Hevo Data
Image Source

Web mining refers to the process of using data mining algorithms and techniques to extract information from the web. The information is obtained from web content, services, server logs, and hyperlinks. 

Its goal is to identify patterns in web data by collecting and analyzing information to gain insights into users, trends, and the industry in general.

The content of data used for Web Mining in Business Intelligence can be a collection of facts contained on web pages, and it can consist of text, structured data like tables and lists, and even audio, image, and video. There are different sources of data during web mining, and your target source will determine the method that you will use to collect the data. 

Simplify Your Analytics with Hevo’s No-code Data Pipeline

Hevo Data is a No-code Data Pipeline that offers a fully managed solution to set up data integration from 100+ Data Sources (including 40+ Free Data Sources) and will let you directly load data to a Data Warehouse to be visualized in a BI tool. It will automate your data flow in minutes without writing any line of code. Hevo provides you with a truly efficient and fully automated solution to manage data in real-time and always have analysis-ready data.

Get Started with Hevo for Free

Hevo is the fastest, easiest, and most reliable data replication platform that will save your engineering bandwidth and time multifold. Try our 14-day full access free trial today to experience an entirely automated hassle-free Data Replication!

Experience an entirely automated hassle-free ETL. Try our 14-day full access free trial today!

Web Mining in Business Intelligence Techniques

There are three web mining techniques used for business intelligence:

Web Mining in Business Intelligence: web mining techniques | Hevo Data
Image Source

Web Content Mining

Web content mining refers to the process of extracting useful information from web documents. Web content consists of data in image, text, audio, and video formats. The content data are the facts contained on a web page. It can help to establish interesting patterns about the needs of users.

In this Web Mining in Business Intelligence technique, every web page is considered an individual document. Structured data is collected from unstructured websites. Web content mining facilitates data aggregation across different websites using the extracted structured data. This web mining in business intelligence technique can also be used to differentiate topics on the web. 

Web Structure Mining

This Web Mining in Business Intelligence technique involves the discovery of structured information on the web. In web structure mining, the web is considered a directed graph, where the web pages are the vertices and are associated with hyperlinks. 

Google applies this technique to estimate the ranking of search results based on the PageRank algorithm. The relevancy of a page is determined by how frequently it is connected to the highly related pages. 

Web Usage Mining

This technique is used to extract useful data, knowledge, and information from weblog records, and it helps to determine the user access patterns for web pages. Such information can help you to identify user behaviors better. This information is collected from logs, hence, this Web Mining in Business Intelligence technique is also known as log mining

Importance of Web Mining in Business Intelligence

Web mining can be a great source of business intelligence to understand customers, drive sales, create new opportunities, and meet mission goals. Here are some of the ways through whichWeb Mining in Business Intelligence can be helpful to a company or business:

Know your Customers Better

Web mining can help you to discover your customers’ key initiatives and their financial situation. It can also help you know what the CEO of your customer’s company is saying, as well as what your customers are saying and posting on online platforms. 

Learn More about your competitors

Staying ahead of competitors is key to the survival of any business. Thus, knowing your competitors better is important. With Web Mining in Business Intelligence, you can know what your competitors are doing, what they are selling, and whether they are doing anything new or unique. 

Find New Customers

Web mining can keep you updated about what is happening in the world, and let you know the best places to target your sales and reach new customers. 

Monitor People’s Sentiments about your Business

By knowing what people are saying about your business, you can identify potential customer-related issues and take the appropriate action to counter them before going viral. You can also track the effectiveness of your marketing campaigns. 

What Makes Hevo’s ETL Process Best-In-Class

Providing a high-quality ETL solution can be a difficult task if you have a large volume of data. Hevo’s automated, No-code platform empowers you with everything you need to have for a smooth data replication experience.

Check out what makes Hevo amazing:

  • Fully Managed: Hevo requires no management and maintenance as it is a fully automated platform.
  • Data Transformation: Hevo provides a simple interface to perfect, modify, and enrich the data you want to transfer.
  • Faster Insight Generation: Hevo offers near real-time data replication so you have access to real-time insight generation and faster decision making. 
  • Schema Management: Hevo can automatically detect the schema of the incoming data and map it to the destination schema.
  • Scalable Infrastructure: Hevo has in-built integrations for 100+ sources (with 40+ free sources) that can help you scale your data infrastructure as required.
  • Live Support: Hevo team is available round the clock to extend exceptional support to its customers through chat, email, and support calls.
Sign up here for a 14-day free trial!

Data Sources for Web Mining

The first step in web mining is to identify the data that you need to target. 

Web Mining in Business Intelligence: Web Mining Data Sources | Hevo Data
Image Source

There are different sources of data for Web Mining in Business Intelligence. These include:

  • Curated public sources such as Wikipedia, Wiktionary, and Wikidata. 
  • Social media platforms such as Facebook, Instagram, Twitter, and LinkedIn. 
  • Government data, for example, data.gov and United States Code. 
  • Company content- you can create a web crawler for your business website. 
  • Niche websites- like GitHub, Stack Exchange, and others. 
  • The World Wide Web- you can use a crawler to extract data from web pages. You can identify the web pages using search engines, for example, Bing and Google. You can then use a web crawler to extract data from the identified web pages. 
  • Third-party aggregators- Some websites provide free data. Such websites provide APIs for searching, filtering, and downloading content. They have data such as news stories, annual reports, company reports, worldwide patents, financial filings, and more. 
  • Coding- It provides a good starting point for content analysis. 
  • Medical and health- You can get health data from websites like Medline, MESH, CPT, and ICD codes

Conclusion

In this article, you learned that Web mining is the technique of extracting useful information from the web. The information is extracted from web content, services, server logs, and hyperlinks. The goal of Web Mining in Business Intelligence is to identify patterns in web data to gain insights into users, trends, and the industry in general. 

The three techniques used for web mining include web content mining, web structure mining, and web usage mining. The first step in web mining is to determine the source of data to the target. The target source will determine the web mining method to be used. Some of the common data sources for web mining include the world wide web, curated public sources, niche websites, social media, and more. 

Visit our Website to Explore Hevo

Companies need to analyze their business data stored in multiple data sources. Data needs to be loaded to the Data Warehouse to get a holistic view of the data. Hevo Data is a No-code Data Pipeline solution that helps to transfer data from 100+ data sources to desired Data Warehouse. It fully automates the process of transforming and transferring data to a destination without writing a single line of code.

Want to take Hevo for a spin? Sign Up here for a 14-day free trial and experience the feature-rich Hevo.

Share your experience of learning about Web Mining in Business Intelligence in the comments section below!

No-code Data Pipeline For your Data Warehouse