Despite promises of a single source of truth, modern data platforms like Snowflake are often deployed for specific departments (e.g., marketing, finance), creating larger, more entrenched silos. This decentralization paradox persists because different business functions like analytics and operations require purpose-built data repositories, preventing true enterprise-wide consolidation.

To navigate the unpredictable AI landscape, Snowflake's CEO dismantled its specialized, multi-layered structure that had slowed down iteration. This shift prioritized accountability and shorter engineer-to-customer feedback loops, recognizing that speed and adaptability now trump carefully laid out strategies.

The most advanced GTM teams are abandoning traditional CRMs like Salesforce as their primary interface. Instead, they use data warehouses (Snowflake, Databricks) for flexible data storage and push curated insights to reps directly within their workflows (Slack, email, Notion), eliminating the need for manual data entry and retrieval.

To eliminate friction, Snowflake's marketing team, led by CMO Denise Pearson, abandoned MQLs. Instead, they focused solely on delivering qualified meetings for the sales team, treating sales as their primary customer whose success was paramount.

A robust M&A strategy isn't built in a vacuum. Snowflake's CorpDev team continuously gathers intelligence from three sources: VCs (capital flow), entrepreneurs (innovation), and internal product leaders (strategic needs). This triangulation allows them to form a holistic and actionable market view.

To modernize her team, Ally's CMO designed a new structure based on core capabilities (Insights, Execution, Creative, Measurement) rather than traditional functional silos. This model, benchmarked against other high-performing organizations, creates clearer ownership and a more effective workflow.

To avoid biased prioritization, structure Marketing Ops as an independent unit rather than placing it under Demand Gen or a sales-led RevOps team. This allows Mops to be a neutral hub, prioritizing projects based on their impact on total company revenue, not just one department's goals.

The term 'retention team' inherently creates a silo separate from acquisition. A more effective approach is reframing all marketing functions as part of one 'customer team.' This mindset shift focuses everyone on the entire journey, from 'entering the door' to 'staying in the house.'

To bridge cultural and departmental divides, the product team initiated a process of constantly sharing and, crucially, explaining granular user data. This moved conversations away from opinions and localized goals toward a shared, data-informed understanding of the core problems, making it easier to agree on solutions.