News / Blog: #analysis

What is media evaluation?

Media evaluation is the systematic evaluation of media products and media content to obtain trends and insights into the media market. It includes the analysis of media usage habits and preferences, such as how users respond to different media content. It may also include evaluating the reach and influence of specific media content on a particular audience.

What is media analysis?

Media analysis is a field of research that deals with the systematic study of media content. This includes the study of texts, images, videos, and audio files to examine the way they are used to convey messages. This also includes examining the effect that such media have on people, such as shaping opinions, ways of thinking, and behaviors. Media analysis can also help measure and evaluate the effectiveness of advertising campaigns.

What is market research?

Market research is the systematic collection, analysis and interpretation of information about a particular market, industry or product or service. Market research can help companies develop new products and services by gathering information about consumer needs and wants. It can also help strengthen the company's competitiveness by providing information about the competitive landscape.

What is media monitoring?

Media monitoring is an analysis procedure used to monitor and evaluate media coverage. The aim is to record the presence and influence of a company, brand or person in the media and to improve the communication strategy. To this end, media reports, press releases, social media posts and other media content are systematically collected, analyzed and evaluated.

What is Robust Statistics?

Robust statistics is a method of data analysis that specializes in the analysis of erroneous or biased data. Robust statistics is an important complement to traditional methods of data analysis, as it provides a simple and effective way to deal with problematic data. Robust methods are able to detect and eliminate poor quality data without biasing other data. This is especially important when individual data points have a strong impact on the outcome of the analysis. Robust statistics are often used to detect and eliminate scatter, outliers, and extreme points before performing other analyses.