Between October 2024 and February 2025, Gatepoint Research surveyed 100 IT and data engineering executives, including 58% CxOs and VPs, 35% directors, and 7% senior managers from companies ranging from Fortune 1000 enterprises to smaller firms.
Today’s data professionals face unique challenges beyond basic data movement tasks. This pulse report explores how industry leaders leverage data warehouse automation to overcome these challenges, streamline workflows, and drive strategic analytics improvements.
Approaches to Data Warehouse Automation: Pulse Report (Feb 2025)
Inside this report, discover:
- Specific automation capabilities prioritized by executives (e.g., automated documentation, SQL/native code generation, cross-platform management)
- Satisfaction levels with data project time-to-value and delivery timelines
- Leading platforms and tools currently used for data warehousing (Snowflake, Azure, AWS, Informatica, SAP)
- Common technical challenges identified, such as scalability, data loading performance, manual coding inefficiencies, and issue resolution delays
- Data analytics improvements targeted within the next 12 months (e.g., improved data quality, reduced manual coding, faster TTV)
Use these technical insights to align your strategy with current industry benchmarks and achieve faster, higher-quality analytics outcomes.
