In Collibra 2024.05, we've launched a new user interface (UI) for Collibra Data Intelligence Platform! You can learn more about this latest UI in the UI overview.
Use the following options to see the documentation in the latest UI or in the previous, classic UI:
The recommenders aim to suggest relevant business assets and data sets. Recommenders have to train regularly to update the recommendations. By default, this is done every night. Recommendations can be calculated on the basis of several algorithms. These algorithms also calculate an error margin for each recommendation, and eventually only the algorithm with the lowest error margin provides the recommendations.
You can
Note The recommenders use statistical information. Therefore, your recommendations will be empty or less useful if your company just started using Collibra Data Intelligence Platform.
Recommendation of data sets to users
Description
The data set recommender recommends data sets to users, based on the data sets of similar users.
If you use some of the same data sets as some other users, you are probably also interested in data sets that they use but you don't. The recommendations are shown on Catalog Home
Strategy
The data set recommender compares the data sets used by the users to find relevant data sets. It roughly follows these steps:
- See which data sets you are currently using.
- Look for other users that also use your data sets.
- See which data sets those users use, but you don't.
- Recommend up to 9 of those data sets to you.
If the recommender does not have enough data, for example if you just started using Collibra, it only considers 3 parameters:
- Certified
- Quality
- Popularity (number of views of the data set asset page)
Recommendation of business assets to data sets
Description
The asset recommender recommends business assets to data sets, based on business assets it is related to.
If two data sets have relations to the same business assets, business assets related to only one of the two data sets may be relevant to the other data set as well.
Strategy
The asset recommender uses the relation data set related to business asset set to find relevant assets. It roughly follows these steps:
- See which business assets are related to the current data set.
- Look for other data sets related to those business assets.
- See whether those data sets are also related to other business assets.
- Recommend those business assets
Note If the recommender does not have enough data, for example if you just started using Collibra, it does not give you any recommendations.
Recommendation of business assets to column assets
Business assets are recommended to column assets based on the search engine in Collibra. The recommendations are shown in the section of represented by business asset relation.
Recommendation of business assets to Tableau workbook assets and Tableau view assets
Business assets are recommended to Tableau workbook assets and Tableau view assets based on the search engine in Collibra. The recommendations are shown in the section of report related to business asset relation.