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# The New Age of Consulting: How We Reduced Data Model Refresh Time by 90 %

**[Infostrux](https://daily.dev/sources/infostrux)** · 4 min read · 0 upvotes · 0 comments

## Summary

A consulting firm migrated a client's SQL script-based data transformation workflow to dbt Projects on Snowflake over four weeks. The engagement included mapping existing objects and dependencies, setting up the environment, and upskilling the client's team for self-sufficiency. A query cost analysis and model optimization reduced data model refresh time from 30 minutes to under 3 minutes — a 90% improvement. The post also reflects on how AI tools are shifting the value proposition of professional services firms from implementation toward expertise, guidance, and risk mitigation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.infostrux.com/the-new-age-of-consulting-how-we-reduced-data-model-refresh-time-by-90-1015335406a5>

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---

Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#snowflake](https://daily.dev/tags/snowflake)

[View this post on daily.dev](https://daily.dev/posts/the-new-age-of-consulting-how-we-reduced-data-model-refresh-time-by-90--ekeksrcxd)

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