600 words = 12 points 750 words = 15 points 900 or more words = 18 points). For Words/Review, the maximum score is 18 points awarded linearly between 0-900 words (e.g. For Rating, the maximum score is 28 points awarded linearly between 6-10 (e.g. For example, if a product has 80% of the number of reviews compared to the product with the most reviews then the product's points for reviews would be 18 * 80% = 14.4.īoth Rating and Words/Review are awarded on a fixed linear scale. Every other product gets assigned points based on its total in proportion to the #1 product in that ranking factor. The score is calculated as follows:įor each ranking factor of Reviews, Views, and Comparisons, the product with the highest count in each ranking factor gets a maximum 18 points. The total ranking of a product, represented by the bar length, is based on a weighted aggregate score. For example, if an end user such as the CEO or COO opens a report or the The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available. You can find end-to-end data from the source until it has become the final output or the final data set. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. I also like that you can handle data end-to-end without having to depend on multiple tools. The best feature of Domo is that it's completely on the cloud.