Enterprise data volumes continue to grow exponentially - yet many organizations still struggle to translate data and analytics investments into sustained, measurable business value. The challenge is no longer access to data, tools, or platforms - it’s how leaders architect, operationalize, and govern analytics to drive real outcomes at scale.
As data becomes increasingly embedded across products, operations, and decision-making, data analytics leaders are being asked to move beyond reporting and insights delivery to enable faster decisions, measurable ROI, and enterprise-wide value creation. That requires aligning analytics strategy with business priorities, embedding insights into workflows, and establishing governance models that balance innovation, trust, and accountability. The question facing today’s data leaders is not whether analytics can deliver value - but how to ensure it consistently informs decisions, accelerates performance, and scales impact across the organization.
Topics of discussion will include, yet will not be limited to:
- Translating enterprise data and analytics into measurable business outcomes and ROI
- Aligning analytics strategy with executive priorities, operating models, and decision workflows
- Embedding insights into products, operations, and frontline decision-making at scale
- Governing enterprise analytics for trust, adoption, scalability, and sustained value creation
Subba Rao Katragadda, Senior Principal Data Engineer, JOHNSON & JOHNSON MEDTECH
Kartik Kinhal, Director, Engineering, Automation, Analytics & Excellence, Worldwide Manufacturing Operations (WMO) Logistics, APPLIED MATERIALS
Gladson Baby, Vice President & Director of AI Enablement, Intelligent Automation & System Integration, FIFTH THIRD BANK
SriHarsha Anand Pushkala, Director, Fraud Strategy & Analytics, ATLANTICUS
Moderator: Junaith Haja, Senior Data Engineer, AMAZON
