Would you like to make money online and add some extra cash to your bank account without worrying about working overtime? You just live in the right era when technology is at its peak. In general, companies are always interested in making more and more profits and minimizing their expenses. A really good way to manage this is by extracting valuable information about their products, services, and customers’ behaviors. For them to be able to extract this information, they have to collect data and then process it. A very popular and fast-growing area is the data field which consists of different subfields such as data analytics, data science, data engineering, data warehousing, and data architecture. These are the main categories of the field and the ones that can be analyzed to complete online surveys.
But what was all the above prolusion about?
Over the last decade, taking surveys online can serve this data demand and benefit both worlds. On the one hand, it is a very cheap way to collect data, and on the other hand, it is a very easy way for individuals to make some extra money. You can call it a “win-win” situation. There are hundreds of online survey sites but some of them stand out, such as Swagbucks and Nerdwallet. It has to be mentioned that surveys can be created to cover other types of needs, like studies, student theses, and more. Therefore, we can recognize some online surveys advantages and disadvantages.
1. It is really cost-efficient relative to the classic methods
2. By profiling the responders they can easily reach the desired target group for each survey.
3. It is also time-efficient for the questioners
4. There is the capability of real-time data processing and analysis
1. The main issue with online surveys is the limitations of the individuals they can get reached online. Apparently, a huge number of people are not familiar with new technologies or even don’t have access to the web. This may sound strange but it is the truth. The feedback from such groups of people could potentially be very important for questioners to drive financial literacy.
2. Another drawback is data reliability. The motives of the responders could be money-driven so the answers they give may not correspond to reality.