As a data consulting firm helping clients solve their data challenges, Maverick Data faced its own operational inefficiencies with fragmented systems for time tracking, client management, project staffing, and financial reporting. Instead of continuing to juggle multiple disconnected applications, they decided to practice what they preach and build a unified solution.

In this session, Spencer Baucke (Co-founder) will demonstrate how Maverick Data built a comprehensive business operations app in Sigma to:

Centralize employee, client, and project management with appropriate role-based security controls Streamline time entry and automated invoice generation to eliminate manual processes Integrate financial data to create real-time projections and business insights Automate reporting with scheduled emails to ensure timely updates for team members By consolidating operations into a single data app, Maverick Data reduced software spend, gained unprecedented visibility into their business performance, and dramatically improved decision-making processes between leadership. The solution has inspired new client solutions based on their internal success.

➡️ 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

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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

Managing cloud costs requires accurate resource tagging, but maintaining completeness and accuracy is a challenge. In this session, Mitchell Ertle (Senior Partner Solutions Architect) and Josue Bogran (Data & AI Architect) demonstrate how Sigma and Databricks combine to streamline FinOps and resource management with AI-driven cost attribution and workflow automation.

Through a practical demonstration, you'll see:

Identify and classify untagged Databricks pipelines with a cost attribution app Use GenAI from Databricks to suggest tags with human-in-the-loop approval Enable bidirectional data flow between Sigma and Databricks for real-time updates Automate workflows with Sigma’s actions framework Ensure security and governance by inheriting Unity Catalog permissions Discover why this combination is powerful—Sigma provides intuitive application building while Databricks delivers computation, AI/ML capabilities, and data storage. These platforms create solutions business users can interact with directly, without technical expertise.

Whether in data engineering, finance, or operations, learn how Sigma + Databricks can automate workflows, optimize costs, and drive business impact.

➡️ 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

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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

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

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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

The enterprise software landscape is at a pivotal turning point. For decades, organizations have been trapped in a cycle of siloed applications—first in on-premise data centers, and then repackaged as cloud SaaS solutions. While infrastructure has become more flexible, scalable, and cost-effective, the applications running on top remain frustratingly rigid, expensive, and disconnected.

In this session, Mike Palmer (CEO of Sigma) and Carter Busse (CIO of Workato) discuss the shift from "best-of-breed" point solutions to an "end-to-end" approach powered by data apps. They'll explore:

Why traditional SaaS applications force organizations to adapt their workflows to software limitations rather than the other way around How the centralization of data in cloud warehouses creates the foundation for building custom, integrated workflows Real-world examples of organizations replacing expensive, disconnected tools with purpose-built data apps The future of enterprise software, including predictions on how AI will reshape application development and data accessibility Practical strategies for starting your data apps journey without creating new technology sprawl Learn how forward-thinking organizations are using data apps to create workflows that better match their business needs, increase decision-making velocity, boost accuracy, and dramatically reduce software costs—all while maintaining enterprise-grade governance and security.

➡️ 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

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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

Organizations today require more than dashboards—they need applications that combine insights with data collection and action capabilities to drive meaningful change. In this session, Stipo Josipovic (Director of Product) will showcase the key innovations enabling this shift, from expanded write-back capabilities to workflow automation features.

You'll learn about Sigma's growing data app capabilities, including:

Enhanced write-back features: Redshift and upcoming BigQuery support, bulk data entry, and form-based collection for structured workflows Advanced security controls: Conditional editing and row-level security for precise data governance Intuitive interface components: Containers, modals, and tabbed navigation for app-like experiences Powerful Actions framework: API integrations, notifications, and automated triggers to drive business processes This session covers both recently released features and Sigma's upcoming roadmap, including detail views, simplified form-building, and new API actions to integrate with your tech stack. Discover how Sigma helps organizations move beyond analysis to meaningful action.

➡️ 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

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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