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

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What can you build with Sigma Data Apps in just two hours? In this friendly competition, three contestants tackle a real-world challenge: creating a rent-versus-buy calculator using Denver metro real estate data.

Each contestant was given the same dataset and requirements:

Feature data warehouse writeback to build a workflow Use a scoring model to make a clear buy vs. rent recommendation Demonstrate Sigma’s capabilities and ease of app development See the final app demos, hear direct feedback from the judges, and witness the crowning of the first-ever Sigma Data Apps Golden GOAT Champion. Whether you're a seasoned data pro or just getting started, this competition proves that with Sigma, anyone can build powerful applications—fast.

Participants Ashley Bennett Senior Associate, Spaulding Ridge Eric Heidbreder Owner & Principal Consultant, Chicago Analytics Services Katrina Menne Alliance and Tech Lead, Aimpoint Digital

Judges David Porter Head of Partner Engineering, Sigma Donny Alfano SI Partner Solutions Director, Sigma Alfonso Franklin VP of Solution Engineering, Sigma

➡️ 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 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

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This regional bank needed a robust system for funds transfer pricing and profitability analysis across branches, products, and customers. After discovering Sigma's capabilities for complex financial calculations and data modeling, the bank's team built a comprehensive solution for modern banking needs.

In this session, the Senior Financial Analyst and IT Reporting Analyst will showcase how they developed a Sigma-powered solution to:

Streamline expense allocation workflows Calculate and apply sophisticated funds transfer pricing Enable detailed variance analysis and research Create foundation for branch, product, and customer-level profitability insights Watch this session to see how this regional bank leveraged Sigma Data Apps to build a scalable, data-driven financial reporting system that enhances decision-making and operational efficiency.

➡️ 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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In today's rapidly changing markets, businesses in Energy, Manufacturing, and Retail CPG face constant supply and demand shifts—from seasonal patterns to unexpected disruptions. Traditional planning approaches with static reports and slow update cycles leave companies struggling to adapt quickly enough to maintain optimal operations.

In this session, Anupam Gupta and Shivang Ganjoo from Celebal Technologies will reveal how they've transformed planning processes with a Sigma-powered solution that:

Replaces manual forecasting with AI-driven models that continuously learn and adapt, improving forecast accuracy by 20% Enables dynamic scenario planning with real-time simulations to evaluate multiple business paths simultaneously Automates previously manual workflows, cutting planning cycle times by 50% Allows write-back of modified plans directly to the data warehouse for immediate execution Join this session to learn how Sigma Data Apps are transforming business planning from a periodic, backward-looking exercise into a continuous, forward-looking competitive advantage.

➡️ 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 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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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

Sales pipeline forecasting is essential for revenue planning, but traditional approaches rely on either unstructured spreadsheets or rigid SaaS applications like Clari—creating data silos, limiting customization, and forcing teams to switch between multiple tools for complete pipeline visibility.

In this session, Oscar Bashaw (Solution Architect) will demonstrate how to:

Create a unified sales forecasting app with role-specific views for both reps and managers Implement structured data capture with input tables for consistent deal-level forecasting Consolidate multiple data sources (CRM, call recordings, product usage) into a single tool Leverage AI models from your data warehouse to provide intelligent deal insights without leaving the workflow Build dynamic visualizations with real-time pipeline coverage and attainment tracking Use AI to surface risk signals by analyzing call sentiment, deal history, and activity trends from connected data sources With Sigma, sales teams can move beyond disconnected spreadsheets and inflexible SaaS tools to create a dynamic, AI-powered forecasting solution that scales with your business. Join this session for a complete walkthrough of the app's architecture and learn how to build similar capabilities for your organization—reducing costs while improving forecast accuracy and sales team productivity.

➡️ 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

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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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

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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

Managing facilities maintenance operations presents a complex logistical challenge: how to efficiently handle service requests, match technicians with appropriate skills to the right jobs, and minimize travel time between locations. Traditional approaches often result in underutilized staff, delayed responses, and poor visibility into operations.

In this session, the Aimpoint Digital team will showcase their Facilities Management Data App built with Sigma that transforms this critical business function through:

Improve workforce efficiency with an advanced scheduling engine that reduces downtime Enhance real-time visibility with live status updates for managers and customers Streamline operations by integrating service requests, dispatching, and data warehouse write-back Scale across industries with a flexible system adaptable for healthcare, retail, logistics, and more Join this session to see how Sigma Data Apps can transform complex operational workflows into streamlined, intelligent systems that boost productivity and customer satisfaction.

➡️ 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

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Sales forecasting and demand planning are critical business processes, but most organizations still rely on spreadsheets—leading to version control issues, fragmented approvals, and lack of historical tracking. Traditional BI tools struggle to solve these problems because they don’t allow for cell-level edits, inline comments, and structured approval workflows in a governed way.

In this session, Ian Reed will demonstrate how to:

Enable real-time forecasting by replacing manual spreadsheets with a structured, cloud-based data app Allow for cell-level edits and inline commentary so teams can capture assumptions behind forecast changes Implement an automated approval workflow with proper governance Integrate seamlessly with live data sources for continuous updates and visibility into actual vs. forecasted performance Track historical changes and maintain audit trails of all modifications

With Sigma, demand planning is no longer a fragmented, error-prone process—it’s a seamless, governed workflow that scales with business growth. Join this session for a demo and a step-by-step walkthrough of how this app was built, proving that anyone can create a highly customizable, enterprise-grade demand planning system in Sigma without deep technical expertise.

➡️ 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

Managing contracts in spreadsheets was creating significant challenges for TEKSystems - crashes, version control issues, and no connection to enterprise data were impacting 20+ users trying to collaborate on thousands of records.

In this session, Riley Owens (Controller) and Chase Brookmyer (Business Reporting Analyst) will demonstrate how they:

Built a contract lifecycle management app with no formal development background Transformed from an unstable spreadsheet to a centralized data app Created streamlined workflows and reporting capabilities Accomplished the build in approximately 10 hours of learning and development By leveraging Sigma’s flexible architecture, TEKSystems was able to build this solution in a matter of hours, demonstrating how teams without formal development experience can create powerful workflow automation tools. Watch this session to see how they transformed contract management and what’s next for their data-driven approach.

➡️ 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

AdventHealth’s investment team needed a better way to merge the need for real-time reporting for portfolio metrics and managing portfolio adjustments, moving beyond outdated, static reports that slowed decision-making and introduced inefficiencies.

In this session, Kelly Booth (Director of Data Strategy & Analytics, AdventHealth) and Jared Flores (Founder & Managing Director, Data Flow) will share how they partnered to modernize investment portfolio metrics reporting with a data app that enables real-time value adjustments, audit logging, and vendor tracking. This tool has helped:

Reduce manual errors by enabling real-time portfolio adjustments Save hours of work by eliminating back-and-forth data corrections Increase confidence in reporting with a fully auditable, write-back-enabled workflow Join us to see a live demo of the app in action and hear how AdventHealth uses Sigma Data Apps to drive efficiency and accuracy in investment data management.

➡️ 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

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

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

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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

Conagra’s brand teams needed a dynamic, centralized way to track and analyze macro and micro events affecting business performance. Previously, teams relied on manual Excel processes to compare shipments, consumption trends, and promotions against external factors like weather and consumer pricing data. This approach led to inefficiencies, inconsistencies, and limited adoption.

In this session, Matthew Henkel (Sr Analyst Advanced Analytics) and Manav Purohit (Director Analytics Engineering) will showcase the Event Impact Tracker, a Sigma-powered data app that:

Unifies external & internal data for better event-driven decision-making Leverages input tables to allow users to log and track internal events Enables easy adoption with an Excel-like, user-friendly experience Join this session to see a demo of the app and hear how Conagra transformed event tracking into a scalable, data-driven process with Sigma Data Apps.

➡️ 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

Corporate philanthropy is a key pillar of Blackstone’s culture, with regular firm-wide initiatives planned to rally employees around charitable causes. However, Blackstone's annual Global Fight Hunger campaign faced challenges with their traditional live auction format - events took hours, required simultaneous attendance, and limited participation to high-value items. The team needed a solution that could engage 700+ employees across divisions while supporting both premium experiences and smaller donations.

In this session, Ariel Amdur (Managing Director) will share how Blackstone built a Charity Auction Data App using Sigma to:

Expand participation beyond live events with a real-time silent auction system Automate bid tracking and donation logging to reduce administrative burden Enhance transparency by linking bids to employee profiles, ensuring clear tracking and reporting Drive excitement and engagement with a digital-first approach to corporate giving By moving to a data app-driven auction process, Blackstone increased participation, simplified donation tracking, and created a more scalable and engaging way to support charitable initiatives. Watch the demo to see how Sigma helped make this transformation possible.

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