Scale Embedded Analytics without scaling your team
Register For This Webinar
November 4, 2026 1:00 pm (EST - New York)


This webinar addresses how to deliver powerful embedded analytics without the overhead. Organizations are at a crossroads: continue sinking resources into custom-built solutions that demand constant maintenance, or settle for…
This webinar addresses how to deliver powerful embedded analytics without the overhead. Organizations are at a crossroads: continue sinking resources into custom-built solutions that demand constant maintenance, or settle for third-party tools that don't quite fit your product or your users' needs. There's another path—one that gives you the customization depth builders need without the operational burden that steals focus from core product development.
We'll explore how to navigate the build-or-buy decision with real data on timelines, resource allocation, and business outcomes. Learn how organizations are closing the gap between what their teams can maintain and what their users expect. Hear strategies for scaling analytics across complex, multi-source environments while keeping your development team focused on what matters most. We'll also address the trust problem: how to deliver AI-powered insights that users actually rely on, built on governed data rather than black-box outputs.
Attendees will walk away with a practical framework for evaluating solutions, understanding the hidden costs of both approaches, and identifying which strategy aligns with your product roadmap and constraints.
Topics covered:
The maintenance burden: Why organizations spend 30+ hours monthly on analytics upkeep and how resource allocation directly impacts product innovation
Build vs. buy trade-offs: Timelines, costs, and long-term implications of each approach—plus what builders and buyers would choose again
Multi-source complexity at scale: Managing six or more data connections without fragile pipelines or excessive customization burden
Closing the trust gap: How to deliver AI-powered insights users actually rely on, built on governed data with verifiable audit trails
Business outcomes that matter: Embedded analytics drive 21% increase in customer retention and 20% increase in user adoption
Practical evaluation framework: Critical questions to ask before committing to build, buy, or hybrid approaches




