We got the following results about using different types of data lineage.
1. 9% of those who viewed the poll provided an answer.
2. Almost half (44%) of respondents explore descriptive data lineage.
3. Only 6% of respondents implemented automated data lineage only.
4. The rest use a combination of methods.
We interpret these results as the following:
1. Still, many companies manually document data lineage at a high level of abstraction, such as the level of application or conceptual/logical level of a data model.
Descriptive documentation is a highly time- and resource-consuming exercise. A descriptive lineage is also challenging to maintain.
2. On its own, automated data lineage at a physical level is not widely used. Automated data lineage requires a lot of investments and resources in the implementation phase. Maintenance is not an issue, as it happens automatically.
3. Many companies use a combined approach.
How do you interpret these results? What types of data lineage do you elaborate on? Please share in the comments section below this post!
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