Write SQL with AI in Google BigQuery

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March 12, 2024

Analyst Intelligence

Data analysis

663

4.0(1)

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Write SQL with AI in Google BigQuery

Overview

Overview Releases Pricing Reviews Prompts Pros & Cons Q&A Alternatives Recommendations

Data analysis220 0

Data Analysis Google BigQuery SQL Writing Advanced Analytics Data Cleansing Financial Analysis

Most popular alternative: DataSquirrel (988 saves)

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1 www.analystintelligence.com

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This AI tool is designed to effortlessly facilitate the writing of SQL directly within Google BigQuery. It's innovative and seems primely suited for individuals without engineering backgrounds.

The tool presents a unique approach to SQL analysis by combining a no-code user interface with advanced language models, making big data analysis and cleansing accessible, efficient, and scalable.

The tool automates data cleanup processes, allowing for a swift transition to complex analysis. This platform not only offers advanced analytics and predictive insights powered by the latest language models but also perfectly adapts to continuous business changes, striking a balance between accuracy and efficiency.

The AI capabilities have been designed to handle tasks such as data consolidation, currency conversion, KPI calculations, cohort analysis, pipeline analysis, win-rate analysis, revenue waterfall, variance analysis and time-series prediction among others.

As part of the Analyst Intelligence Platform, this tool is specifically designed to make financial analysis easy, making it a suitable solution for data analysts.

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Initial release

February 12, 2024

Initial release of Analyst Intelligence.

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Data analysis Analyst Intelligence

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Pros and Cons

Pros

SQL Writing in BigQuery

No-Code Interface

Advanced analytics

Predictive insights

Perfectly adapts to business changes

Accuracy and Efficiency

Automated Data Cleaning

Data consolidation

Currency conversion

KPI calculations

Cohort analysis

Pipeline analysis

Win-rate analysis

Revenue waterfall

Variance analysis

Time-series prediction

Suitable for data analysts

Automates cleanup processes

Swift transition to analysis

Facilitates financial analysis

Works with Google Sheets

Excel plugin

Reporting capabilities

Business Intelligence App

Scenario Analysis Feature

Headcount forecasting capability

Power Query Alternative

Advanced Language Models

Automation of complex tasks

Makes big data accessible

BigQuery integration

Supports non-engineers

Analyst Intelligence Platform

Efficient data wrangling

Top-tier analytical expertise

Automated Analytical Code Writing

Affordable Big Data Analysis

Streamlined Excel workflows

Workflow Automations App

Scalable Data Analysis

Custom Demos

Free Trial Available

Excel Consolidation Feature

Opex Variance Analysis

Pipeline Stage Conversion Rate

Win-Loss Analysis Feature

View 41 more pros

Cons

Only for Google BigQuery

No-code may limit customization

Language models' limitations

Only financial analysis focus

Potentially complex for non-analysts

Depends on business changes

No multi-database support

No clear security measures

Advanced analytics may confuse

View 4 more cons

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Q&A

What are the main features of Analyst Intelligence?

The main features of Analyst Intelligence include writing SQL with AI, data cleaning, Google Big Query functionality, Excel consolidation, and various forms of data analysis such as pipeline conversions, win-loss analysis, and pipeline waterfall. It also offers applications like workflow automations, Google Sheets, Reporting Services, Self-Service BI, Excel Plugin, Analyst Assist, and Headcount Forecasting Application.

How does Analyst Intelligence assist in writing SQL in Google BigQuery?

Analyst Intelligence leverages AI to assist in writing SQL in Google BigQuery. It provides a seamless combination of a no-code user interface and advanced language models that allows users, even without an engineering background, to write SQL code efficiently and effectively.

How can non-engineers use Analyst Intelligence?

Non-engineers can use Analyst Intelligence for big data analysis and cleansing. The advanced language models make the process accessible, efficient, and scalable without the need for coding or extensive technical knowledge. The solution offers applications like Headcount or Excel Plugin and capabilities like data cleaning and Excel consolidation specifically useful for non-engineers.

What tasks can be automated with Analyst Intelligence?

Analyst Intelligence can automate tasks including data consolidation, currency conversion, KPI calculations, cohort analysis, pipeline analysis, win-rate analysis, revenue waterfall, variance analysis, and time-series prediction. It also automates data cleanup processes to allow for a swift transition to complex analysis.

What role does advanced language models play in Analyst Intelligence?

Advanced language models are integral to Analyst Intelligence. They facilitate the writing of SQL code directly within Google BigQuery and make big data analysis and cleansing accessible, efficient, and scalable. These models also power advanced analytics and predictive insights offered by the platform.

What is the process for data cleansing in Analyst Intelligence?

Data cleansing in Analyst Intelligence is automated. The advanced language models seamlessly handle data cleanup processes enabling swift transition to intricate analysis.

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What value does the no-code interface of Analyst Intelligence introduce?

The no-code interface of Analyst Intelligence democratizes data analysis. It makes SQL writing, big data analysis, and data cleansing accessible and efficient for individuals without coding knowledge, thus increasing efficiency and productivity.

How accommodative is Analyst Intelligence to changing business needs?

Analyst Intelligence is highly adaptable to changing business needs. It offers advanced analytics and predictive insights that adapt to continuous business changes, balancing accuracy with efficiency.

What kind of advanced analytics does Analyst Intelligence offer?

Analyst Intelligence offers advanced analytics and predictive insights empowered by the latest language models. These analytics include but are not limited to data consolidation, KPI calculations, cohort analysis, pipeline analysis, win-rate analysis, revenue waterfall, and variance analysis.

How suitable is Analyst Intelligence for financial analysis?

Analyst Intelligence is particularly suitable for financial analysis. As part of the Analyst Intelligence Platform, it's specifically designed to make financial analysis easy, rendering a suitable solution for data analysts. Analysts can leverage its ease of use and powerful capabilities to perform tasks such as currency conversion, KPI calculations, and revenue waterfall among others.

How does Analyst Intelligence handle data consolidation?

Analyst Intelligence efficiently handles data consolidation tasks. Powered by advanced language models, it can process and streamline large amounts of data, enabling analysts to focus on higher-level analysis.

What are the capabilities of Analyst Intelligence in currency conversion?

Analyst Intelligence can perform currency conversion tasks. Although specific capabilities for currency conversion are not detailed on their website, considering its wide range of features, we can infer that it provides this conversion task as part of its data analysis capabilities.

How does Analyst Intelligence perform KPI calculations?

Analyst Intelligence performs KPI calculations as one of its main features. It offers the ability to compute Key Performance Indicators, thus aiding in monitoring business performance.

What is the extent of cohort analysis possible with Analyst Intelligence?

Cohort analysis is one of the key capabilities of Analyst Intelligence. It allows users to group related data and track it over time, providing valuable insights into user behavior and performance trends.

What are the details of pipeline analysis in Analyst Intelligence?

Pipeline analysis is a fundamental feature of Analyst Intelligence. It allows business users to monitor the progress of different stages in their business or sales pipeline, facilitating more informed decision making.

Can Analyst Intelligence perform win-rate analysis?

Yes, Analyst Intelligence can perform win-rate analysis. This feature allows businesses to analyze their success rates, further helping to inform successful strategies and identify areas for improvement.

How proficient is Analyst Intelligence in revenue waterfall?

Analyst Intelligence efficiently performs revenue waterfall tasks. It provides businesses with visibility over their revenue flows and patterns, supporting more strategic decisions.

What are the variance analysis capabilities of Analyst Intelligence?

Analyst Intelligence provides variance analysis capabilities. Users can compare planned and actual outcomes, understanding the reasons for variations and enabling more accurate future predictions.

How accurate is the time-series prediction using Analyst Intelligence?

Time-series prediction is one of the capabilities provided by Analyst Intelligence. Based on past data, it can predict future trends, although without specific quantitative measures of accuracy given on their website.

How can Analyst Intelligence be integrated with existing business solutions like Excel Plugin or Google Sheets?

Analyst Intelligence can be integrated with existing business solutions like Excel Plugin or Google Sheets. It offers an Excel Plugin as a product and also has compatibility with Google Sheets, enabling data analysis and management tasks directly in these platforms.

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