Technologies that expand the methods of data collection and analysis contribute to business development. Companies regularly receive, store, and analyze quantitative and qualitative data.

All of this helps them to have more information to take the right steps and provide customers with improved service or service. Which, for the most part, companies have developed as a business model.

Types of customer data

Customer data can be divided into four categories:

  • Personal data – This category includes gender, personal number, IP address, etc.
  • Involvement Data – This case describes in detail how users use the company’s website, mobile apps, social media pages, email, etc.
  • Behavioral Data – This includes details such as purchase histories, product usage information (eg repetitive actions) and qualitative data (eg, mouse movement information).
  • Addiction data – includes information about customer satisfaction, purchase criteria, product preferences, etc.
How is personal data collected by users?

Companies use many methods of data collection. Most often on websites and social media, however, there are also more interesting methods.

One example is location-based advertising, which uses technologies such as the IP address of an Internet-connected device. It is designed to create a personalized profile of data.

Companies are also researching their customer service records to see how customers interact with sales or other departments. Here is a direct link to what they liked and what they didn’t.

In addition to gathering information for business purposes, companies that transmit personal information and other data to third parties in exchange for money have become commonplace.

Turning data into knowledge

Mastering a large amount of data creates a problem for how to sort and analyze them.

It is this issue that computer programs solve more quickly and efficiently than humans, and they can do it without a break.

Data analytics Digital technologies are becoming an even more important field. Some artificial intelligence (AI) technologies are looking for flaws and offering companies different ways to solve them.

Without such programs, it would be useless to collect data from around the world.