Changes in data collection and processing

[rifat28dddd]

One consequence of these changes is that companies that make their money primarily in the field (collecting data through interviews and processing it) are on the verge of extinction. Online surveys and groups do not require traditional teams of supervisors and interviewers, centers for entering questionnaires. The focus of the research business is shifting towards Internet technologies for data collection, and the freed-up resources must be directed to extracting insights, meanings, and business decisions from the avalanche of data.


We are talking about the ubiquitous penetration of the Internet, the automation of the collection of gigantic volumes of information about people's behavior (search engines, social networks, banking operations, online shopping, tracking via cell phones and smartphones). All this growing avalanche of information about consumers allows us to predict many trends in jordan cell phone number list behavior, personally deliver the required information to a person at the right time, push him to a certain step, to a purchase. Isn't this what a marketer strives for? And if he can do this without research, then why does he need it?

As the volume of information about human behavior grows, so do the competencies for analyzing and processing this information to make business decisions. The ability to extract meaning from this array is called Data Science.

Thus, researchers no longer have a monopoly on collecting consumer data, but they still have a chance to be in demand for problem setting, extracting meaning and insights, consulting, and formulating sound business decisions.

Changes in customer behavior and demand

There has also been a major shift in customer behavior – data needs to be collected cheaper and faster, analysis needs to be deeper and better, and researchers need to provide not just tables and reports, but a picture of the market, deep insights, and, ideally, ready-made business solutions.