Metadata
- Author: dbt Labs
- Full Title:: 2024 State of Analytics Engineering
- Category:: 🗞️Articles
- URL:: https://www.getdbt.com/resources/reports/state-of-analytics-engineering-2024?ref=blef.fr
- Finished date:: 2024-04-14
Highlights
It starts with well-organized data: Unsurprisingly, like last year, most respondents spend most of their time organizing data sets for analysis (over 50% selected it as their #1 task). This critical task is the bedrock that enables all downstream analytics to be done with accuracy (View Highlight)
(Work is distributed among data teams in a variety of ways—by function (data engineering, data science, etc.), by business area (marketing, sales, finance, etc.), by project, or by a hybrid approach.
- Hybrid: both business area and function 36%
- Function (e.g. data engineering, data science, business intelligence) 26%
- Project-based 17% (View Highlight)
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