As organizations seek to move beyond reporting and dashboards, the focus is shifting toward systems that help teams act on insights in real time. Next Best Action (NBX) frameworks represent a significant step in that evolution because they connect analytics directly to execution, enabling organizations to influence decisions, behaviors, and outcomes at the moment they matter most.

In this final episode of the interview series, Commercial Strategy, Insights & Analytics Executive Ashutosh Katiyar joins Subrato Chatterjee, Global Growth Partner for Life Sciences at Tiger Analytics, to examine how commercial organizations can operationalize analytics through Next Best Action (NBX) programs while building trust in AI-driven recommendations.

Ashutosh discusses the organizational and technical challenges of scaling decision intelligence across therapeutic areas, emphasizing the importance of common data foundations, stakeholder sponsorship, and change management.

Key themes include:

• Next Best Action (NBX) Adoption: Building recommendation engines that support execution while remaining relevant and actionable for field teams.
• Explainable AI: Creating transparency around recommendations so stakeholders understand the signals, rationale, and confidence behind AI-driven outputs.
• Invisible Analytics: Embedding intelligence directly into workflows, platforms, and daily activities rather than requiring separate tools and interfaces.
• Leadership Agility: Making timely decisions with robust analysis while avoiding delays caused by pursuing perfect information.

In this concluding installment, Ashutosh shares a practical perspective on how analytics functions can evolve from insight providers to enablers of enterprise action and decision-making.

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