The in-house research trend has caught on among brands and investors alike. With new technologies that allow for more transparency, control, and streamlined market research processes, brands seek to make the process more transparent and efficient. In a recent investment round, research platform Quantilope raised $28 million in Series B funding for July 2020. The company, founded in 2014, raised $40 million and commissioned a study from Forrester Consulting to calculate the impact of in-house research on the total economic impact of businesses. It estimated that brands whose research efforts increased revenue and profitability realized a net benefit of $2.7 million.
Automating the more routine facets of research
Scientists spend months or weeks every year manually processing scientific data. A single project can yield hundreds of data files that must be read, analyzed, and saved in the correct location. The human component in this process can lead to errors, such as typos, incorrect constants, and inconsistent plot axis labels. Performing these tasks by hand is both costly and time-consuming. By automating these tasks, scientists can save time and money while achieving the same results.
Using trend data to connect with your audience
Using trend data can give you a better understanding of your audience’s preferences. For example, Twitter’s trend analysis tool shows trending hashtags and topics and the number of Tweets that mention the trend. Furthermore, you can filter movements by categories, including brands, types of products, and issues that appeal to your audience. As a result, trend data can help you make the best possible content strategy.
Trend analysis helps identify the hottest topics among your target audience. For instance, if your audience is composed of mostly students, they may have more interest in an educational product. Likewise, if your audience is young adults, they might be more likely to try out a new widget if it’s useful. However, the first step in this process is to understand your audience’s needs and preferences. Then, depending on what you’re trying to learn, you can choose which trend data to use in your research.
Trend data is a valuable asset that can help you identify lookalike audiences for your products and services. You can use this data to create customized content that appeals to different audiences and also uncovers trending influencers. Trend data can also help you create better ads and content. The insights you get from using trend data can make your business decisions and keep your customers at the forefront. However, it can also be overwhelming if you’re not a data professional.
Using video conferencing platforms
Before you begin using video conferencing platforms in your research, you must be aware of their security risks. This can be achieved by carefully reading the video conferencing policy. Alternatively, you can use a mobile app like the Signal messaging service, which uses end-to-end encryption. If you are unsure of the security measures available on a video conferencing platform, you should contact its customer support. Most video conferencing platforms are making efforts to increase their security measures.
Despite the widespread popularity of video conferencing, not all of them are created equal. Some offer standout features and high quality, while others are lacking. Therefore, testing a few solutions before making a final decision is crucial. This article will examine some of the top video conferencing platforms and discuss their advantages and disadvantages. This article was originally written in January 2017 and has been updated to reflect recent developments.
In addition to supporting research, video conferencing can help researchers connect with prominent authors from different parts of the world. APSU’s history students use video-conferencing technology to collaborate with prominent authors from around the U.S. and beyond. The researchers’ findings will inform future video conferencing technology development, including how it affects data integrity, quality, and contextual relevance. It’s also a useful way to gather feedback from users.