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J·BJon BishopIndependent growth marketer

Benchmarks · Analytics engineering and data-team survey

dbt Labs State of Analytics Engineering 2024: coverage and access

Research data-team priorities, governance and quality pain, analytics-engineering workflows, and buying triggers for transformation, catalog, testing, and data-product tools. This is unusually close to the target market: data practitioners shipping governed, reusable analytics and data products.

What it covers

Geography and granularity

Geography: Use the geography stated by the source; coverage can vary by dataset and release.

Granularity: Research data-team priorities, governance and quality pain, analytics-engineering workflows, and buying triggers for transformation, catalog, testing, and data-product tools.

Source type: Analytics engineering and data-team survey

Potential use

Research data-team priorities, governance and quality pain, analytics-engineering workflows, and buying triggers for transformation, catalog, testing, and data-product tools. This is unusually close to the target market: data practitioners shipping governed, reusable analytics and data products.

Access and cost

Public download

Public official report page describing the research; the page presents a report download, which may require a contact form.

Cost: Current price was not established in this review; check the provider's access terms.

Update cadence: Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

Interpret carefully

Limits that affect the decision

Publisher sponsorship and the dbt-centered analytics-engineering audience may bias tool/workflow representation; do not treat it as a census of all data teams.

Release cadence was not normalized in this review; check the source's dates, update notes, and API limits before comparing periods.

This record summarizes source documentation; Jon Bishop did not conduct an independent audit of the underlying dataset.

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