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Databricks - Finance Analytics Built for the AI Era: Procure-to-Pay

Finance teams need faster answers from their data, without having to build everything from scratch.

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Date and timing of webinar

09:30 PM IST
18 March 2026

Watch Recorded Video

About The Webinar

Speakers

Harish Ramachandraiah

Harish Ramachandraiah

Co-Founder & CEO

Harish is a data and analytics leader focused on helping enterprises turn complex data into measurable business outcomes. As Co-Founder & CEO of Dataplatr, he drives strategy, innovation, and customer success across analytics, AI, and modern data platforms.
Nitigya Kargeti

Nitigya Kargeti

Data Scientist

Nitigya specializes in building data-driven solutions that translate raw data into actionable insights. With hands-on expertise in analytics and AI, she works closely with business teams to design scalable, high-impact data models and solutions.
Prabu Varatharaju

Prabu Varatharaju

Co-founder and CTO

Prabu leads technology and architecture at Dataplatr, designing modern, scalable data ecosystems for enterprises. With deep expertise in data engineering, BI, and cloud platforms, he helps organizations build trusted analytics foundations for growth.

Why This Webinar is Essential for You?

Finance analytics only work when they’re trusted. And trust breaks when data, pipelines, and BI move at different speeds. Join Dataplatr, a Databricks Partner, for a live session on building trusted finance analytics, using Procure-to-Pay as the core use case, while reducing BI delivery time and complexity. In this session, we’ll show how teams are building analytics finance can trust, and delivering BI up to 50% faster, by owning the analytics lifecycle end to end. What we’ll cover: • Designing Procure-to-Pay finance analytics from source to insight • Reducing BI rework with governed, agent-led data pipelines • Delivering faster without breaking trust • Turning P2P data (spend, invoices, payments) into clear, usable answers 18 Mar 2026 | 12 PM EST Built on Databricks

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