Write SQL with AI: Analyst Intelligence Platform for BigQuery

Analyst Intelligence Platform

3.5 | 305 | 0
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Website
Last Updated:
2025/10/02
Description:
Discover Analyst Intelligence Platform: the first AI tool for non-engineers to write SQL in Google BigQuery, automating data cleaning and analysis for efficient big data insights.
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SQL automation
data cleaning AI
BigQuery integration
predictive analytics
business intelligence tools

Overview of Analyst Intelligence Platform

What is Analyst Intelligence Platform?

Analyst Intelligence Platform is a groundbreaking AI-powered solution designed specifically for non-engineering data analysts. It revolutionizes how users interact with big data by enabling them to write SQL queries directly within Google BigQuery using natural language prompts. As the first practical AI tool tailored for analysts, it combines a no-code interface with advanced large language models (LLMs) to simplify complex data tasks. Whether you're dealing with data wrangling or diving into predictive analytics, this platform makes advanced analysis accessible without requiring deep coding expertise.

Launched as an innovative response to the challenges faced by business teams in data handling, Analyst Intelligence Platform integrates seamlessly with Google BigQuery, powering automations that were once time-consuming manual processes. It's particularly valuable for teams in finance, revenue operations, sales ops, and business intelligence, where quick insights can drive strategic decisions.

How Does Analyst Intelligence Platform Work?

At its core, the platform leverages cutting-edge LLMs, backed by Google's robust infrastructure, to translate everyday language into precise SQL code. Users simply describe what they need—such as consolidating datasets or performing cohort analysis—and the AI generates the corresponding SQL query. This eliminates the traditional barriers of data cleaning, which often consume up to 80% of an analyst's time, reducing it to less than 10% through automation.

The workflow is intuitive: Log in to the web-based platform, connect your Google BigQuery dataset, input a natural language request (e.g., "Calculate win-rate by region"), and the AI handles the rest. It not only writes the SQL but also executes it, providing clean, actionable results. For more advanced needs, features like data consolidation across multiple sources, currency conversions, and time-series predictions are built-in, ensuring scalability for large datasets.

Powered by Google's ecosystem, the platform ensures data security and efficiency, adapting to your business's evolving needs. It's not just about writing code; it's about transitioning from tedious data preparation to insightful analysis, all while maintaining accuracy and speed.

Key Features of Analyst Intelligence Platform

  • AI-Driven SQL Generation: Write complex SQL queries without coding knowledge, directly in BigQuery.
  • Automated Data Cleaning: Seamlessly handle data wrangling tasks like deduplication and formatting, freeing up time for analysis.
  • Advanced Analytics Tools: Support for KPI calculations, variance analysis, revenue waterfalls, and predictive modeling.
  • Integration with Popular Tools: Works with Google Sheets, Excel (via plugin), and self-service BI dashboards for versatile reporting.
  • No-Code Interface: Designed for non-engineers, making big data accessible to FP&A, Rev Ops, and Sales Ops teams.
  • Scalable Automations: From simple consolidations to intricate pipeline analyses, the platform grows with your data volume.

These features are demonstrated in practical examples, such as generating Opex variance reports or pipeline conversion insights, showcasing real-world applicability.

How to Use Analyst Intelligence Platform?

Getting started is straightforward. Begin with a free trial by visiting the platform's website and signing up. Once logged in, connect your Google BigQuery account—a process that takes minutes and requires no technical setup. From there:

  1. Describe Your Query: Use plain English to outline your data needs, like "Perform cohort analysis on customer retention."
  2. Let AI Generate SQL: The LLM processes your input and crafts optimized SQL code.
  3. Review and Execute: Preview the query for accuracy, then run it to get instant results.
  4. Automate and Export: Set up recurring automations or export to Google Sheets/Excel for further use.

For teams, book a custom demo to see how it fits into workflows. The platform also offers products like Automations, Reporting, and Analyst Assist for specialized tasks.

Why Choose Analyst Intelligence Platform?

In a data-driven world, time is money, and Analyst Intelligence Platform saves both. Traditional SQL writing demands engineering skills, but this tool democratizes access, empowering analysts to deliver top 1% expertise without hiring specialists. Real users have generated tens of thousands of lines of code, proving its reliability in production environments.

Compared to generic AI tools, it stands out with BigQuery-specific optimizations and a focus on business outcomes—like boosting efficiency in financial analysis or sales forecasting. Pricing is affordable and scalable, with options for individuals and teams, making advanced BI tools accessible without enterprise budgets.

User testimonials highlight its impact: "Data cleaning that used to take hours now happens in seconds," notes one FP&A analyst. It's not just efficient; it's transformative, blending innovation with practicality to keep your business ahead.

Who is Analyst Intelligence Platform For?

This platform is ideal for non-technical professionals in data-heavy roles:

  • FP&A Teams: For budget variance and revenue modeling.
  • Revenue and Sales Ops: Pipeline analysis, win-loss insights, and forecasting.
  • Business Intelligence Analysts: Self-service reporting and cohort studies.
  • Any Non-Engineer Handling Data: Marketers, operations managers, or executives needing quick insights without coding.

If you're tired of data bottlenecks and want to focus on strategy over syntax, this is your solution.

Best Ways to Maximize Value with Analyst Intelligence Platform

To get the most out of it, start with simple tasks like currency conversions or KPI setups to build confidence, then scale to complex predictions. Integrate it into daily workflows via the Excel plugin for on-the-go analysis. Regularly update your automations to leverage new LLM improvements, ensuring your insights stay fresh.

For transactional users, explore pricing tiers that match team size— from free trials to enterprise plans with dedicated support. The FAQ section covers common queries, like integration steps or data privacy, while news updates keep you informed on enhancements.

Practical Value and Use Cases

Consider a sales ops team analyzing pipeline conversions: Manually, this involves hours of SQL tweaking. With Analyst Intelligence Platform, a single prompt yields a waterfall chart, revealing bottlenecks instantly. In finance, revenue waterfall analysis becomes a "piece of cake," as the platform automates multi-source consolidations.

The value lies in its ROI: Reduced manual effort means faster decisions, from predicting time-series trends to cohort retention rates. Clients report 90% time savings on cleaning, allowing focus on high-impact tasks like strategic planning.

In summary, Analyst Intelligence Platform isn't just an AI SQL writer—it's a catalyst for data excellence, making big data analysis efficient, scalable, and inclusive. Whether you're new to analytics or a seasoned pro, it unlocks the power of Google BigQuery like never before. Start your free trial today and experience the future of analyst tools.

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