The Analytics Engineering Podcast Ramp's $8 Billion Data Strategy (W/ Ian Macomber and Ryan Delgado)
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Aug 11, 2023 
Ramp’s data team turns messy contract language into insights that help customers compare software prices and make purchasing decisions. Ian Macomber and Ryan Delgado discuss giving data a central role in product development, building for real-time needs, and adopting emerging technology. They also explore how teams balance autonomy with alignment and where analytics code belongs as data products move into production.
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Data Integration in Product Pods
- Embedding analytics engineers and data scientists into product pods speeds decision-making and empowers teams.
- Deep product context is essential for effective data work and shaping product success.
Welcome Others to Codebase
- Invite interested stakeholders to contribute to the data codebase to reduce decentralized, hidden business logic.
- Provide clear documentation and standards to enable effective collaboration and centralized data ownership.
Need for Real-Time Data Access
- Relying solely on batch SQL and daily data pipelines falls short for rapidly changing business needs.
- Direct analyst access to near real-time production data, even if non-ideal, increases agility.