Analyst Intelligence

Analyst Intelligence is a sophisticated data analytics notebook platform, purpose-built on the Google Cloud Platform to empower finance and operations teams. It serves as a centralized hub for getting, cleaning, transforming, and analyzing data, fundamentally changing how teams in FP&A (Financial Planning & Analysis), Rev Ops (Revenue Operations), and BI (Business Intelligence) approach their workflows. The platform's core philosophy is to make advanced data analysis accessible to non-developers by providing a powerful, yet user-friendly, operations platform.

At its heart, Analyst Intelligence provides each client with their own secure and isolated Google BigQuery Data Warehouse. This solves a critical problem for finance teams who handle confidential information like salaries and financial plans, which cannot reside in a general IT data warehouse. By consolidating data from disparate sources—such as accounting systems, CRMs (like Salesforce), HR platforms, and spreadsheets—into this single source of truth, the platform drastically enhances data accuracy and reliability.

The platform is infused with artificial intelligence, most notably through its integration with Google's Vertex AI. This allows users to leverage cutting-edge machine learning models for tasks like forecasting and prediction without writing a single line of code. A standout feature is the AI-powered SQL assistant, which enables analysts to perform complex data cleaning and analysis by describing their needs in natural language, which the AI then translates into efficient SQL code. This significantly reduces the time spent on data wrangling, allowing teams to focus on generating valuable insights.

How to use Analyst Intelligence

Getting started with Analyst Intelligence is designed to be quick and straightforward, with most users automating significant parts of their workload within the first day.

1. Request Access & Onboarding: Begin by requesting credentials. New users receive a complimentary onboarding session where the support team helps automate their first process, ensuring immediate value.

2. Connect Data Sources: With one-click integrations, you can connect to all your essential data sources. For example, connect to Salesforce once to import bookings data. This data is then stored in your centralized data warehouse and can be reused across countless applications (BI, planning, ad hoc reports) without re-establishing connections.

3. Transform and Analyze: Utilize the platform's code-optional notebooks. Non-technical users can leverage the no-code interface and AI assistants to clean data, calculate KPIs, and build analyses. For those comfortable with code, SQL transformations are fully supported.

4. Leverage AI and Machine Learning: Use the integrated AI to generate forecasts (e.g., headcount forecasting), perform cohort analysis, build revenue waterfalls, and run predictive models. The AI assists with documentation, error fixing, and complex analytical queries.

5. Visualize and Report: Create interactive dashboards using the no-code BI tool or connect the cleaned, centralized data back to your favorite spreadsheet tools like Google Sheets. This allows you to maintain your existing reporting workflows but backs them with a powerful, reliable database.

Core Features of Analyst Intelligence

• Dedicated Google BigQuery Data Warehouse: A secure, private data warehouse for each customer, ensuring data confidentiality and ownership.
• AI-Powered SQL & Analysis: Seamlessly combines a no-code interface with advanced LLMs (powered by Google's Vertex AI) to automate data cleaning, transformation, and complex queries.
• One-Click Integrations: Easily connect to popular systems like Salesforce, accounting software, HR platforms, and upload data from Excel/CSV files.
• No-Code Workflow Automation: Automate entire data pipelines and reporting processes without needing engineering support.
• Advanced Forecasting: Built-in capabilities for headcount forecasting and machine learning-powered time-series predictions.
• No-Code BI Dashboarding: Build and share interactive dashboards to visualize key metrics and align teams.
• Live Spreadsheet Connection: Integrates directly with Google Sheets and other spreadsheet tools, backing them with a live, reliable database.
• Guaranteed Security & Data Control: Built on the secure Google Cloud Platform, giving you full access and control over your data with no vendor lock-in.

Use Cases for Analyst Intelligence

FP&A Teams: Consolidate actuals from accounting, CRM, and HR systems to feed 3-statement financial models. Automate variance analysis and P&L forecasting. Perform complex headcount and expense planning.

Revenue Operations (Rev Ops): Analyze the entire revenue lifecycle, from pipeline analysis and win-rate calculations to creating detailed revenue waterfalls and cohort analyses.

Business Intelligence (BI): Establish a single source of truth for all company metrics. Build comprehensive, automated dashboards for leadership and departmental reporting, eliminating manual data pulls.

Small Companies & Startups: Instantly gain access to a wide range of analytical insights through turnkey reporting templates, even without a dedicated analyst team. The 'Decision Science-as-a-Service' plan provides expert support for those needing it.

Advantages of Analyst Intelligence

Democratizes Data Analysis: Empowers non-technical users with tools previously reserved for engineers and data scientists.

Eliminates Data Silos: Creates a single, reliable source of truth by centralizing data, which improves accuracy and decision-making.

Radical Efficiency: Automates tedious, manual data preparation and reporting tasks, freeing up teams to focus on strategic analysis.

Full Data Ownership: Your data resides in your own Google Cloud project. The platform makes it easy to access and use your data anywhere, preventing vendor lock-in.

Scalable and Affordable: Designed for teams of all sizes, with transparent pricing and a commitment to keeping costs down as your organization grows.

Pricing and Plans

Analyst Intelligence offers flexible pricing and guarantees success with a 'try before you buy' approach, including a FREE PILOT with no credit card required.

Small Business: Ideal for executives or individual contributors with simple use cases and smaller data sizes. Includes features like headcount forecasting, spreadsheet plugins, data consolidation, and no-code dashboards.

Complete Platform: Designed for analysts and operators in FP&A, Rev Ops, and BI. Includes all Small Business features plus a dedicated Google BigQuery Data Warehouse, extensive integrations, no-code workflow automation, AI data analysis, SQL transformations, and advanced forecasting.

Decision Science-as-a-Service: A premium offering for teams that need hands-on support. Includes the Complete Platform plus white-glove onboarding, managed data pipelines, custom analysis, scenario modeling, and dedicated cell phone support.

For a detailed quote, prospective customers are encouraged to contact the sales team to design a package tailored to their specific data sizes, required apps, and support level.