How to Manage Your Data Backlog: A Practical Guide
Blog post from Sigma
In "Data Analytics: How to Manage Your Data Backlog," Matt Senick provides a comprehensive guide on handling overwhelming data requests that exceed a data team's capacity, leading to a backlog. He emphasizes the importance of triaging requests by frequency and source, converting recurring requests into self-service assets, and maintaining a weekly triage cadence to prevent backlog accumulation. The article discusses how an unmanaged backlog can lead to poor decision-making and the proliferation of shadow spreadsheets, which complicate data governance. By effectively managing the backlog, organizations can empower business users to access and analyze data directly, thereby freeing data teams for strategic tasks. Senick highlights the need for a single trusted data source with governance and self-service capabilities that do not require extensive training. He introduces Sigma as a tool that facilitates backlog management by enabling business users to interact with warehouse data through a familiar spreadsheet interface, while maintaining governance and allowing for real-time data updates and analysis through AI-assisted features.
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