How do you build a phased data quality program with measurable ROI?

A phased data quality program starts small, proves value, and expands—tying enrichment and validation directly to revenue metrics. In this MOpza25 replay, MNTN shares how their scalable, phased approach to data quality sharpened TAM analysis and turned data investments into measurable revenue impact.

Reliable AI for Ops starts with better orchestration.

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TAM analysis is only as good as the data behind it. MNTN uses Openprise to ensure their GTM data is clean enough to inform real market investment decisions.

MOpza25 | How MNTN Tackles Data Quality for TAM Analysis

In this session, learn how MNTN built a scalable, phased data quality program that transforms enrichment and validation into measurable revenue impact.