Managing sales commissions can be complex, especially as teams scale and compensation structures grow more intricate. phData previously relied on spreadsheets to handle quotas, accelerators, SPIFF bonuses, and deal splits—but as the sales team expanded, manual tracking became inefficient, error-prone, and difficult to validate.

In this session, the phData team will demonstrate how they built a comprehensive commission management system using Sigma Data Apps to:

Handle complex commission structures including quota attainment, accelerator gates, and SPIFF bonuses Provide real-time commission visibility that gamifies seller performance Enable flexible deal attribution and splits through input tables Support rapid validation and refinement before finalizing configurations in Salesforce and Snowflake Watch the demo to see how phData replaced spreadsheet chaos with a powerful commission tracking system that not only streamlines operations but also drives sales momentum.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

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Managing performance reviews, calibrations, and compensation adjustments across thousands of employees at DoorDash was becoming increasingly complex—especially after the Wolt acquisition 2x the employee base. Teams struggled with spreadsheet chaos, security risks, and inefficient manual processes.

In this session, Ashwin Murugappan (People Applications & Intelligence Engineer) will share how DoorDash built the Cycle Management Hub using Sigma Data Apps to:

Eliminate spreadsheet versioning issues with real-time, governed collaboration Improve efficiency and accuracy by integrating directly with Workday & Snowflake Enhance security & compliance with role-based access controls (RLS) Watch the demo and learn how Sigma’s input tables, write-back capabilities, and real-time data processing helped DoorDash modernize its HR data workflows at scale.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

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Managing customer interactions across multiple disconnected platforms creates inefficiencies and delays in resolving support tickets. At WHOOP, support agents had to manually navigate through siloed data across payments, ERP, and ticketing systems, slowing down response times and impacting customer satisfaction.In this session, Matt Luizzi (Director of Business Analytics, WHOOP) and Brendan Farley (Sales Engineer, Snowflake) will showcase how WHOOP:

Consolidated fragmented data from multiple systems into a unified customer support app. Enabled real-time access to customer history, allowing agents to quickly surface relevant insights. Eliminated the need for custom engineering by leveraging Sigma’s no-code interface to build interactive workflows. Accelerated ticket resolution by allowing support teams to take action directly within Sigma, reducing dependency on multiple SaaS tools. Improved forecasting and decision-making by implementing AI-powered analytics on top of Snowflake. Before Sigma, getting a full view of customer issues required navigating across multiple tools—now, WHOOP’s customer support team can access, analyze, and act on real-time data in a single interface. Join us for an inside look at how WHOOP and Snowflake partnered to build a modern customer support data app that enhances efficiency and customer experience.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

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sigma #sigmacomputing #dataanalytics #dataanalysis #businessintelligence #cloudcomputing #clouddata #datacloud #datastructures #datadriven #datadrivendecisionmaking #datadriveninsights #businessdecisions #datadrivendecisions #embeddedanalytics #cloudcomputing #SigmaAI #AI #AIdataanalytics #AIdataanalysis #GPT #dataprivacy #python #dataintelligence #moderndataarchitecture

As companies scale, retaining and accessing institutional knowledge becomes increasingly challenging. Customer Success teams often navigate multiple platforms to piece together customer histories, making it difficult to maintain continuity and provide efficient service across account transitions.

In this session, Curtis de Castro will demonstrate how Sigma:

Built an AI-powered repository that consolidates all customer interactions into a single, searchable platform Enabled real-time filtering and analysis of customer interactions across chat, email, and tickets Implemented AI-driven features for sentiment analysis, meeting agenda generation, and churn risk detection Developed a scalable solution that maintains data security by leveraging Snowflake Cortex Designed an intuitive interface that makes advanced insights accessible without SQL expertise Previously, deep customer analysis took hours—sometimes days. Now, AI surfaces key insights in minutes, enabling teams to focus on action instead of searching for data. Join this session for a demo of how Sigma built an enterprise-grade AI-powered data app to modernize customer intelligence, while maintaining enterprise-grade security and governance.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

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sigma #sigmacomputing #dataanalytics #dataanalysis #businessintelligence #cloudcomputing #clouddata #datacloud #datastructures #datadriven #datadrivendecisionmaking #datadriveninsights #businessdecisions #datadrivendecisions #embeddedanalytics #cloudcomputing #SigmaAI #AI #AIdataanalytics #AIdataanalysis #GPT #dataprivacy #python #dataintelligence #moderndataarchitecture