Structured (YC S23)

Join Structured (YC S23) and Persana AI at Startup HQ for an evening of networking and insights at Discover & Dine on June 17th from 6pm- 9pm. Connect with industry leaders and explore the latest trends in RevOps. RSVP now at https://lu.ma/w5wvz7yg  #RevOps #Networking #AI #StartupHQ

We have huge news to share! TechCrunch named us one of the top AI companies 🙌. Structured (YC S23) will be one of only 200 startups exhibiting at #TechCrunchDisrupt2024! So much time and sweat goes into building a startup, and we’re incredibly proud to achieve this milestone and receive this recognition! We look forward to #Technology #Startups and #VentureCapitalists celebrating with us Oct 28-30 in San Francisco! Join us. CC: Shivam Singhal, Amrutha Gujjar

Structured (YC S23) is a tool engineered to transform how growth and data teams manage, standardize, and operationalize metrics at scale. It integrates natively with enterprise-grade data warehouses like Snowflake, Databricks, and Redshift and easily connects with dbt, enabling automated metric lineage, version control, and governance. For example, Structured can instantly sync and validate key metrics like customer lifetime value across finance, product, and sales teams, making sure everyone has consistent data for reporting. This not only reduces analytics turnaround time but can also lead to a measurable increase in revenue. By centralizing metric definitions within a unified, source-of-truth architecture, Structured keeps growth data consistent, enforces quality, and speeds up decision-making. Congrats to Amrutha Gujjar, Shivam Singhal, and the Structured team on the launch! 🚀 https://lnkd.in/gZvJkMvr

We're excited to be at the Revenue Operations Alliance event this year! If you're attending, we'd love to connect. At Structured, we're all about solving the challenges of inconsistent metrics and misaligned decisions by automating data documentation and syncing metrics directly from your data warehouse. If you're interested in the technical side of streamlining growth and data and making sure everyone’s working from the same source of truth, come find us. Looking forward to it! Shivam Singhal Amrutha Gujjar

AI can make semantic layers like dbt more accessible—not just for data engineers but also for business users who need to understand and interact with these models. Let’s say your team is managing a dbt model that defines customer lifetime value. Traditionally, understanding how CLTV is calculated—what data sources are used, what assumptions are made, and how the metric evolves—requires diving into complex SQL scripts. For non-technical users, this often leads to a disconnect between the data models and the business decisions they inform. With Structured (YC S23), you can automatically generate human-readable documentation for these models, breaking down the SQL into plain language explanations. This means anyone on your team can quickly grasp what variables are included in the CLTV calculation and what impact a change in the model could have on downstream reports and dashboards. This is useful for tracking the ripple effects of altering a model—like adjusting the churn rate calculation—by showing which reports or metrics would be impacted. This level of transparency makes it easier for business users to understand the implications of data changes more easily.

If your data is stored in Snowflake, you might notice that raw data in tables isn’t always easy for business teams to work with. This can lead to delays in reporting and make it harder to get accurate insights. 🚩 You might be facing this if: - Your data team spends a lot of time manually organizing data for reports. - There’s a gap between what the data team provides and what the business team needs. - Reports are often outdated by the time they reach decision-makers. Structured creates a semantic layer that organizes your data in a way that aligns with your business logic. Here’s how: - We automatically organize key data tables from your Snowflake warehouse, making them easier to understand and use for reporting. - With our Notion integration, your business team always has the latest data, reducing the risk of outdated reports. By aligning raw data with your business needs, Structured helps your team generate more accurate reports faster, without the manual hassle. If your reporting process is slow or if your business team struggles to make sense of the data they’re given, Structured could streamline your workflow and improve the quality of your insights. 👉 Interested in learning more? Get started in under 5 minutes: app.structuredlabs.com.

Hey there, Amrutha from Structured here. We're excited to share our July Product Update. This month, we've shipped several key improvements and capabilities based on your feedback. Themes: Get a daily briefing on your business Sometimes, patterns begin to emerge in your business and go-to-market strategies that are not immediately obvious. We've built AI agents specifically designed to surface insights you wouldn't think to search for. Themes provides insights about product performance, usage trends, churn that you can’t see in your Amplitude because it requires joining with your CRM data. Having a clear, real-time view of metrics like CAC-LTV ratio and sales conversion rate, is necessary for decisions like reallocating resources from sales to marketing. However, Themes goes beyond this by also highlighting which accounts or leads need your attention. Tickets: Streamline Data Requests Are you a business operations expert overwhelmed by one-off data requests leading up to board meetings? Are you getting asked to slice and dice by time/segment continuously and urgently? Now, you can create data request tickets directly in Structured. Tickets help you stay aligned with your team on the priorities, sizing, stakeholders, and contents of different data requests. This can help you manage your set of requests and get recognized for the 🔥'fire drills' you are pulled into. - Understand key trends about common types of requests so you can establish processes and reuse work for frequent requests. - Directly @mention the data tables, entities, and metrics from Structured in your data requests to facilitate easier collaboration with your entire team from one central location, all operating from the same view of the data. Introducing Mapper Accurate metrics start with correctly mapped data. That’s where Structured Mapper comes in. Our AI offering automates the creation of mappings from source fields to metrics, setting up your data for reliable analysis. - Make sure your data is correctly mapped and ready for accurate metric computation. - Reduce errors and keep your data trustworthy. - Connect your data sources through your Structured dashboard, let the AI handle the mappings, and customize as needed. With Mapper, you can be confident that your data is properly integrated, providing a solid foundation for all your metrics. Stay tuned for the next set of launches!

Excited to feature Ajay Uppaluri, Head of Revenue Ops @ Sourcegraph, on our latest episode! Ajay discusses descriptive, prescriptive, and predictive analytics. He also explains the power of clear data definitions in keeping sales and marketing teams in sync and operating smoothly. Thanks to Ajay for sharing your perspectives. 

Thank you all for coming!