Extensive data mining, combined with targeted research, is a crucial part of investigating and comparing organizations, products, and services.
In almost every project, we begin by identifying our benchmark universe: a comprehensive list of companies within a given sector, or a range of products and services fulfilling the same needs. Often, large volumes of data must be generated, analyzed, and evaluated in order to refine and narrow down the universe we will examine in detail.
However, the process does not stop there. In many cases, comparing organizations, products, and services requires the careful evaluation of extensive datasets. Examples of such research include:
- Patent research
- Pricing analysis
- Terms and conditions review
- Website analysis
- Transparency and compliance assessments
Our primary sources of information are publicly available materials, either directly from companies or aggregated through third-party databases. In addition, we use customer surveys and mystery research to gather company-, product-, or service-specific data.
In certain cases, we employ automated data collection techniques, such as web crawling. Our analysts use Python to collect and process large datasets. However, many tasks still require manual data collection and detailed analysis by our expert team.
Our comprehensive toolset enables us to generate and evaluate complex and extensive data sets. Both advertisers and consumers benefit from this capability: the larger and more detailed the dataset, the more reliable the resulting benchmarks and rankings.