Structured Labs
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Structured Labs unifies organizational data, enhances visibility, and offers AI-powered insights for streamlined business operations.
What is Structured Labs?
Structured Labs is an AI-powered tool that provides a unified view of all data across organizations. It offers a user-friendly platform for businesses to streamline their data operations, promote cross-team collaboration, and enhance data visibility for revenue operations. The platform's features include real-time log search and analysis, self-service insights, data integration, data glossary creation, and data visualization. Co-founded by CEO Amrutha Gujjar and CTO Shivam Singhal, Structured Labs transforms complex log data into actionable insights using advanced AI technology.
The tool also assists in building a data glossary by enabling users to set associations and relationships between data from various tables and sources. This feature shifts the focus from tedious data wrangling to more strategic tasks. Structured Labs fosters cross-team collaboration by providing a unified view of all data, breaking down silos, and enhancing data visibility. It promotes business intelligence by turning operational insights into revenue and offers advanced capabilities for data integration, data visualization, and analytics.
Who created Structured Labs?
Structured Labs was founded by CEO Amrutha Gujjar and CTO Shivam Singhal. The company was launched on June 18, 2024, with a focus on providing businesses with an AI-powered tool to streamline data operations, enhance collaboration across teams, and improve data visibility for revenue operations.
What is Structured Labs used for?
- CRM integration
- Real-time analytics
- Generate reports quickly
- Extract detailed insights
- Seamlessly integrate with existing technologies
- Foster cross-team collaboration
- Provide user-friendly queries, alerts, and reports
- Reduce long data request times
- Empower users to independently extract insights
- Automatically update data
- Ensure up-to-date information access
- Simplify data operations
- Extract actionable insights
- Continuous product improvement
- Customizable co-pilot for log analysis
- Operational insights into revenue
- Unified data view
- Self-service insights
- Cross-team collaboration
- Data glossary creation
Who is Structured Labs for?
- Revenue Operations
- Marketing
- Sales
- Customer success
- Marketing professionals
- Sales teams
- Customer service representatives
- Data Analysts
- Data scientists
- Business Intelligence Analysts
- IT professionals
- Marketing Analysts
- Sales Analysts
- Data engineers
- Business analysts
How to use Structured Labs?
To effectively use Structured Labs, follow these steps:
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Seamless Connectivity: Connect multiple data sources effortlessly to keep all data synchronized.
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Robust Metrics Library: Access a wide array of pre-built metrics to kickstart your analytics journey.
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Collaborative Dashboards: Share insights and dashboards across teams for a unified understanding.
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Proactive Alerts: Receive instant notifications on metric anomalies to address issues promptly.
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AI-Powered Queries: Ask questions in plain English and get precise answers, simplifying data exploration.
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Guided Onboarding: Utilize the AI assistant for a smooth setup, getting your team operational quickly.
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Select Your Plan: Choose between Starter, Professional, Growth, or Enterprise plans based on your business needs and size.
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Get Support: Access community support or various levels of dedicated support based on your plan.
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Integrate and Explore: Seamlessly integrate into your tech stack, connect to data warehouses, CRMs, and more for comprehensive insights.
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Utilize Data Glossary: Build a data glossary for better data understanding and management.
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Enable Cross-Team Collaboration: Foster collaboration by providing a unified view of data, breaking down silos, and enhancing communication.
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Generate Analytics: Leverage the platform for real-time log search, analysis, and creating queries, alerts, and reports.
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Benefit from Natural Language Queries: Easily unlock data insights with natural language queries, catering to non-technical users.
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Optimize System Performance: Use features like real-time log search and analysis to maintain system efficiency and resolve issues promptly.
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Grow Strategically: As the platform learns data associations, focus on strategic tasks rather than tedious data wrangling tasks.
By following these steps, you can effectively leverage Structured Labs to streamline your data operations, promote collaboration, and extract actionable insights for informed decision-making.
Pros
- Extract actionable insights
- Natural language query capabilities
- Real-time log search
- Plug-and-play analytics
- Cross-team Collaboration
- Self-service insights
- Data warehouse integration
- Real-time analytics
- User-friendly design
- Unified data view
- Operational insights into revenue
- Streamline workflows
- Customizable co-pilot for log analysis
- Continuous product improvement
- No-code solution
Cons
- No explicit security measures
- Insufficient data visualization tools
- Requires constant data input
- Limited CRM integration
- No query optimization features
- Undefined user roles
- No advanced analytics
Structured Labs Pricing and plans
Paid plans start at $300/month and include:
- 10 Data Sources
- 20 Users
- Daily Data Refresh
- 18 months of historical data
- Team sharing and collaboration features
- Basic Monitoring and Alerting
Structured Labs FAQs
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What is Structured Labs?
- Structured Labs is an AI-powered tool that provides a unified view of all data across organizations. It offers a user-friendly platform for businesses to streamline data operations, promote cross-team collaboration, and enhance data visibility for revenue operations.
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What does Structured Labs' AI tool do?
- The AI tool of Structured Labs enables businesses to extract actionable insights from complex log data, harness intelligence, and simplify complexity.
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What is the main function of Structured Labs?
- The main function of Structured Labs is to provide expert knowledge that enhances language models, allowing effective interpretation of complex log data and extraction of valuable insights.
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What is the no-code solution offered by Structured Labs?
- Structured Labs offers a no-code solution for businesses to quickly and seamlessly start using the platform, simplifying data operations with a unified data view, self-serve insights, and user-friendly analytics.
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Who are the founders of Structured Labs?
- Structured Labs is co-founded by CEO Amrutha Gujjar and CTO Shivam Singhal.
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How does Structured Labs transform complex log data?
- Structured Labs transforms complex log data into actionable insights using advanced AI to interpret and deliver insightful results.
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How can Structured Labs streamline my business workflow?
- Structured Labs streamlines business workflows by providing a simplified co-pilot for log analysis, creating a unified data view, and enabling easy connections and streamlining of data sources.
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What collaborative tools does Structured Labs offer?
- Structured Labs offers features that foster cross-team collaboration by breaking down silos, enhancing data visibility, and promoting seamless communication and teamwork across departments.
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What is Structured Labs' role in data operations across organizations?
- Structured Labs simplifies data operations, offers a unified view of all data, eradicates data silos, and connects and streamlines data sources across warehouses, CRMs, and point solutions.
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How does Structured Labs assist in building a data glossary?
- Structured Labs' AI tool assists in building a data glossary by enabling users to set associations and relationships between data, allowing the system to learn these connections over time.
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What sort of analytics does Structured Labs offer?
- Structured Labs provides intuitive analytics such as real-time log search, query generation, alerting, and reporting, enabling comprehensive understanding and actionable insights for management.
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How does Structured Labs promote business intelligence?
- Structured Labs promotes business intelligence by converting operational insights into revenue, with deep insights from analytics and reporting facilitating easy extraction of insights.
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What is the process to quickly get started with Structured Labs?
- Users can quickly get started with Structured Labs using the no-code solution, enabling seamless integration into existing tech stacks for rapid access to expert knowledge.
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What are the data integration and data visualization capabilities of Structured Labs?
- Structured Labs offers advanced capabilities for data integration and visualization, connecting data sources and providing plug-and-play analytics for actionable insights across the business.
Get started with Structured Labs
Structured Labs reviews
Anaya Sharma
December 17, 2024
What do you like most about using Structured Labs?
I appreciate the idea of having a unified view of data, which can definitely improve visibility across teams.
What do you dislike most about using Structured Labs?
The interface feels cluttered and not very intuitive. It can be hard to navigate through the features, especially for new users.
What problems does Structured Labs help you solve, and how does this benefit you?
While it attempts to streamline data operations, I still find myself spending a lot of time on data wrangling, which defeats the purpose.
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Daniel Nguyen
December 31, 2024
What do you like most about using Structured Labs?
The AI-powered insights are quite valuable when they work, particularly for identifying trends in large datasets.
What do you dislike most about using Structured Labs?
The real-time log search feature is often slow and can be frustrating when you need immediate results.
What problems does Structured Labs help you solve, and how does this benefit you?
It helps in gathering insights from data, but the execution isn't always smooth, which can delay decision-making processes.
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Elena Kovalenko
January 6, 2025
What do you like most about using Structured Labs?
I love the data glossary feature. It makes it easier to understand relationships between different data sets.
What do you dislike most about using Structured Labs?
The initial setup took longer than expected, and I felt there could be better onboarding resources.
What problems does Structured Labs help you solve, and how does this benefit you?
It significantly reduces the amount of time we spend on manual data integration, allowing my team to focus on analytics instead.
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