Join Our Webinar - Finance Analytics Built for the AI Era: Procure-to-Pay 
Register Now
Time Left: -- ×

Mastering Sigma AI Advanced Features & Financial Use Cases

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

📅
Date and timing of webinar
10:30 PM IST, 18 February 2026
00Days
00Hours
00Mins
00Sec

Reserve Your Spot

About The Webinar

Speakers
Chandra Alluri
Chandra Alluri

Co-Founder, COO

Technical and strategic leader with deep expertise in building and implementing data-centric solutions. With experience from startups to large IPO-based companies, Harish enables organizations to unlock the full potential of analytics.

Ratna Deep Burman
Ratna Deep Burman

BI Lead

Technical and strategic leader with deep expertise in building and implementing data-centric solutions. With experience from startups to large IPO-based companies, Harish enables organizations to unlock the full potential of analytics.

Prabu Varatharaju
Prabu Varatharaju

Co-founder and CTO

Technical and strategic leader with deep expertise in building and implementing data-centric solutions. With experience from startups to large IPO-based companies, Harish enables organizations to unlock the full potential of analytics.

Join this live webinar to see how prebuilt financial analytics in Sigma Computing help teams get clear visibility across Procure-to-Pay, improve control, and make better decisions. In this session, we’ll cover: * Financial analytics use cases * Data modelling for reliable finance reporting * App layouts, page controls, and parameters for interactive analysis * Alerts & actions to monitor key finance metrics * Practical AI use cases 4th Feb 2026 | 12 PM EST Sign up today! Dataplatr. For business outcomes.

Missed It? Watch Our Previous
Webinars On-Demand

Previous Webinar
Previous Webinar
Previous Webinar
Previous Webinar

Don't Miss Out This Webinar

250+

Data professionals have signed up—secure your place today

Register Now

Busy schedule? Register anyway, and get the
webinar recording.