The process of collecting information in a specific field to gain insight into a particular cause (such as advertising or product recognition) is known as data collection. This is a tactic that a big market research company employs to learn more about human behaviour towards a stimulus.
Research companies use an assortment of methods to extract information to collect data. The foundation of data collection solutions lies in formulating the following considerations –
- The goal of the research
- The kind of data that will be collected
- The approaches used to gather, stock, and process the information.
What Does Data Collection Refer To?
Data collection refers to the systematic gathering of the object or idea that is observed or measured. A small or big market research company often works with an organisation or individual to collect and/ or process data for academic, governmental, or business pursuits.
Why do companies call for and use data collection? The procedure permits organisations to acquire direct knowledge and an authentic understanding of solving research problems. It helps to address problem areas, come up with creative solutions, push for creative creations, and more.
Types of Data Collection Methods
A big market research company typically uses one or more of the following ways to collect data. They may also combine one or more methods to devise data collection solutions. It is crucial to define the aims of the research and store the data properly to avoid security concerns. Moreover, the consent of subjects is sacrosanct – the subject of the research must always give their consent freely.
Let’s take a look at the types of data collection Insights Opinion uses.
When researchers acquire data directly from the source of origin, it is known as primary data collection. Such sources include market or academic research. The data collection company may employ this type of research to provide data collection solutions for educational entities like archives, publishing houses, libraries or marketing brands.
Any data that a big market research company gathers from previously published information is known as secondary data collection. The data may have come from researchers who first performed the analyses for other projects. These findings are either public or have come through organisations that have broadcasted the study for cognition (think government organisations or nonprofit organisations). The data already possesses context through the original source.
Qualitative data collection is non-numerical research that collects knowledge on notions, beliefs, or experiences. These results are usually used for experience-based topics like an athlete’s requirements. This type of research is commonly used in humanities research. A big market research company may include more personal methods such as interviews, surveys, experiments, etc., to gather data.
Quantitative data collection refers to the collection of numerical or statistical information. It is used for calculating demographics for market research or comparing essential statistics in board research. A quantitative investigation is usually found in economic or scientific fields of study.
Methods and Examples of Data Collection
Surveys are a common way of collecting data. It uses essay-type queries or multiple-choice questions about a particular or general topic. There is hardly any exchange between the data collector and the respondent. It may be used to garner responses or feedback on the performance of a product or company or faculty.
E.g. – The B.N.C University administration is looking to improve its curriculum and wants to know more about the performance of its teaching staff. The establishment has introduced a website where students can anonymously offer their experiences about a particular course or faculty member for the current term through surveys.
The method of observation employs concentrating on studying the object of attention and gathering data about it. It includes the observation of the behaviour of a live or reactive subject. This type of data collection avoids any sort of direct interaction between the data collector and the subject of observation.
E.g. – An ice cream store, RedBerry, wants to expand its list of ice cream flavours. The brand wants to understand whether these new flavours will be popular among its target demographic, i.e., children, pre-pubescent, and teens. The production team at RedBerry sets up an observation lab wherein they observe which flavours are consumed the most. Based on this data, they introduce the popular flavours to the market.
Focus groups are an excellent way of gathering data for a big market research company from the users of a product directly. This method of data collection concentrates on more personal aspects rather than numbers, such as the reaction of the group towards particular goods or an idea. It helps brands figure out their target demographics.
E.g – Fashion designing brand Stella Lennon wants to introduce a fresh take on 80’s fashion styles. The company puts together a focus group and asks them to share their opinions on 80s fashion, contemporary designs, and fusion styles of the two to know how the general public will react to it.
The interview method of data collection is much more personal than the above methods and requires direct interaction between the researcher and the participant. The interviewer may ask a set of fixed questions or queries made up on the spot or share the questions with the interviewee to let them decide whether they are comfortable with the process. There may be a separate procedure to collect consent for videos or audio recorded during the session.
E.g. – Anand Publishers wants to know how they can better connect with the community of readers in their Varanasi location. They set up interviews with two literary bloggers and five members of a renowned book club to establish a stronger presence among readers.
One of the more ingenious ways a big market research company may collect data is through design thinking. This method entails a session of intense discussion and brainstorming to produce new and creative answers or ideas. Design thinking helps to solve problems that participants may encounter as they use the product concerned.
E.g.- BluePower Corp., a social media platform, wants to roll out new features to contend with CameraStop, their competitors. The brand invites suggestions from some of the best developers in the country and conducts a session with the experts. The best ideas are launched for the rollout.
User testing is a method of garnering data during or after developing a certain product or service. During development, this method of data collection helps spot trouble areas or smooth out any challenges that may come up during navigation. The brand may conduct the data collection solutions after the product’s release to see what updates or debugging may be required to improve the performance of the product or service.
E.g.- Game developer GameStart is about to release their newest FPS game in the market. Before the launch, they invite gamers to test it out. Reports arise that the game is very glitchy and lagging in some areas. The company gathers this data and improves the game in time for the release.
These are some of the methods and examples of data collection and data collection solutions. Insights Opinion offers the chance to gain knowledge and newer perspectives on human psychology.
Technology influences our desires, persuades us, creates biases, and has the power to alter our very way of life. Perhaps the most significant way that technology has such an impact on our lives is through data collection. Visit Insights Opinion for safe and secure data collection for your brand.