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How Opendoor Leverages Amazon QuickSight and Select Star for Self-Service Analytics

How Opendoor Leverages Amazon QuickSight and Select Star for Self-Service Analytics
An Nguyen, Marketing & Operations
July 2, 2025

In today’s fast-paced real estate market, Opendoor stands out as a pioneer in simplifying home buying and selling online. With a mission to provide a fast, certain, and convenient way to sell homes, Opendoor utilizes cutting-edge algorithms and data-driven decision-making to deliver exceptional customer experiences. It’s no surprise that, as the business grew, the complexity of managing and utilizing its vast data became a challenge.

Explore Opendoor’s initial challenges, why they partnered with Select Star, and how the collaboration led to a seamless migration to Amazon QuickSight that unlocked the power of self-service analytics.

The Need for Self-Service Analytics: Why Select Star?

Opendoor operates in 50 markets across the U.S., leveraging data across thousands of tables to build machine learning models, understand market dynamics, and make critical business decisions. However, with data dispersed across seven tools and accessed by 15+ teams, silos and inefficiencies emerged:

  • Siloed Data: Teams struggled to locate correct metrics or definitions, often buried in code or engineers’ knowledge.
  • Inefficient Debugging: Debugging incidents required engineers and decision scientists to spend hours identifying related tables and ownership.
  • Confusion and Delays: Misaligned metrics and lack of a single source of truth hindered decision-making and hindered operations.

Opendoor needed an easy-to-use solution to centralize data discovery and enable users to make data-driven decisions across the organization.

How Select Star Simplified Data Discovery and Established a Foundation for Self-Service Analytics

How Select Star Simplified Data Discovery and Established a Foundation for Self-Service Analytics

Select Star’s automated data discovery platform provides a centralized source of truth with robust features like intuitive, no-code keyword search, column-level lineage, and metadata-powered AI chatbot. This transformation led to:

  • Faster Debugging: Time-to-triage reduced from 2 hours to 15 minutes with transparent data lineages.
  • Improved Access: Internal NPS scores improved by 20%, thanks to easier access to reusable data assets.
  • Fewer Incidents: Severe incidents dropped by 67% due to better visibility into data ownership.

“Making data easier to find and trust has helped our teams move faster and focus on what matters,” said Paras Doshi, Head of Data, Opendoor.

Select Star empowered Opendoor’s teams to seamlessly locate, catalog, and comment on data assets, paving the way for a more efficient collaboration across data producers, data stewards, and domain stakeholders.

Leveraging Select Star for Seamless Migration to Amazon QuickSight and Unlocking BI across Opendoor

With a focus on self-service analytics, Opendoor partnered with Select Star to migrate to Amazon QuickSight—a cloud-based platform for creating self-service dashboards and reports. The migration process was streamlined by Select Star’s ability to:

Select Star's data lineage provides visibility into how data is flowing, transforming, and being used across systems.
  • Discover Dependencies: Automated column-level lineage helped identify shared dependencies and prioritize efforts based on downstream impact.
  • Identify Redundancies: By analyzing asset usage, Opendoor identified and archived underused or redundant datasets, reducing sprawl and fragmentation.
  • Facilitate User Transition: Select Star’s intuitive tools helped teams adapt to Amazon QuickSight’s analytics capabilities.

The Results: Select Star & Amazon QuickSight Democratizes Data and Transforms Self-Service Analytics

The partnership with Select Star and the adoption of Amazon QuickSight elevates self-service analytics within Opendoor to a new level and quickly delivered measurable results:

  • Self-Serve Analytics: The shift to a tool oriented towards shared datasets and an easy-to-use interface boosted adoption by non-technical team members.
  • Cost Savings: Opendoor achieved an 80% reduction in analytics costs year-over-year through the migration.
  • Streamlined Data Management: Centralized asset management reduced fragmentation, improved governance, and enhanced scalability.
  • Synergies: With Opendoor already using AWS, Quicksight provided an easy-to-manage turnkey solution.
  • Foundation for AI Insights: With improved data models, infrastructure, and tools, this positions Opendoor well for unlocking Gen BI insights with Quicksight Q.

While moving dashboards was straightforward, changing user behavior required careful planning and cross-functional collaboration. The effort paid off, as Opendoor now operates with greater efficiency and confidence in its data-driven decision-making.

Transforming Data Challenges into Business Opportunities

The collaboration between Opendoor, Select Star, and Amazon QuickSight underscores the power of modern data discovery and self-service analytics tools. By addressing data silos and adopting innovative solutions, Opendoor transformed its approach to data, unlocking new levels of efficiency, scalability, and cost savings.

For companies navigating similar challenges, Select Star’s quick time-to-insights and end-to-end data lineage capabilities offer a compelling path to success.

Ready to simplify your data management journey?

Learn more about Select Star’s integration with Amazon QuickSight.

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