December Insights ??

Welcome back, data enthusiast! December is nearly over, and we hope you've received some fantastic gifts this year. While we don’t have gifts to share, we’re excited to bring you the best of our featured articles this month. This update will be shorter, but we’ll be back with full strength in January!

??? What we have been working on ... 2024!

As we reflect on 2024 and gear up for next year, we're excited to share some highlights of what we've achieved:

• Strong Client Relationships: We’re happy to report a series of recurring projects, clearly showing how much our clients appreciate our work.
• Industry Leadership: We’ve been active in the data community, speaking at and organizing key events like the Airflow Summit, dbt meetups, and GDG gatherings.
• Strategic Partnerships: Our relationships with key tech players like Google Cloud, dbt, and Airflow have grown stronger, boosting our services.
• Consistent Thought Leadership: Through regular posts on LinkedIn and Medium (over 30 articles!), we’ve shared insights and expertise that have resonated widely.
• Foundation for Growth: We’ve strengthened our internal foundations, preparing us for even more success in the coming year.

Our greatest achievement - without a doubt, it's our team! Working alongside a committed group of doers consistently delivering exceptional results has been incredibly rewarding.

??? Articles

How to Improve Data Quality: Data Quality Checks

High-quality data drives confident decisions and operational efficiency. A comprehensive approach to data quality checks — covering structural constraints, cross-system validations, anomaly detection, and timeliness monitoring — ensures data remains accurate and actionable.

Our automated solutions detect and prevent issues like duplicates, formatting errors, and outdated records, enabling teams to focus on innovation rather than troubleshooting. Reliable data means better insights and more trust across your organization.

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Dev & Prd workflow on a single Looker instance

Managing dev and prod development within a single Looker instance can be challenging, especially when testing updates to tables or models. By implementing a simple solution, you can dynamically switch between dev and prod environments, ensuring seamless testing before pushing changes live.

This approach leverages a secondary model file and a constant in the manifest file to switch environments. With just a few LookML updates, teams can test dbt table developments against dev tables in Looker and ensure production remains stable and accurate for business users.

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Thank you for reading! See you next month, data enthusiast! ??