Arcwise

Arcwise

Arcwise helps enterprise teams spot meaningful metric shifts early and understand what is driving them before problems show up in reviews or dashboards. Instead of waiting for analysts to dig through dashboards, it surfaces the changes that matter and explains them with answers traced directly to your data, queries, and business documentation.

The platform is built around explainable, auditable analysis. Every explanation links back to the exact SQL, tables, joins, and definitions behind a number, so teams can inspect the logic without opening a ticket with the data team. Validated explanations can be saved as institutional memory and reused across quarters.

Arcwise embeds into the Microsoft and Google tools teams already use for reporting and reviews, including docs, slides, and spreadsheets. It connects to data warehouses such as Snowflake, BigQuery, and Databricks, plus the business context stored in your documentation.

The product is aimed at operations, finance, growth, and analytics leaders who need faster decisions from metric changes in logistics, airlines, insurance, and other data-heavy businesses.

Top Features:
  1. Flags meaningful metric changes before they show up in weekly reviews

  2. Traces every answer back to exact SQL, tables, joins, and definitions

  3. Connects to Snowflake, BigQuery, Databricks, and your existing BI stack

  4. Stores validated explanations as reusable institutional memory

  5. Delivers insights inside Microsoft and Google docs, slides, and sheets

Pros:
  1. Explanations trace back to exact SQL, tables, and business definitions for auditability

  2. SOC 2 Type II certified with encryption, least-privilege access, and customer-controlled API keys

  3. Embeds into Microsoft and Google productivity tools teams already use daily

  4. Connects to major warehouses including Snowflake, BigQuery, and Databricks

  5. Saves validated explanations as reusable institutional memory across teams

Cons:
  1. No public pricing page; access requires booking an enterprise demo

  2. Primarily positioned for enterprise teams rather than individual spreadsheet users

  3. Warehouse and documentation setup is required before teams see full value

FAQs:

What data warehouses does Arcwise support?

Arcwise connects to enterprise data warehouses including Snowflake, BigQuery, and Databricks. It also integrates with your existing BI tools and business documentation so explanations stay grounded in your definitions.

Does Arcwise work inside Google Sheets or Microsoft Office?

Yes. Arcwise embeds into Microsoft and Google productivity tools, including docs, slides, and spreadsheets, so teams can ask questions and act on metric changes where they already work.

Is Arcwise SOC 2 certified?

Yes. Arcwise is SOC 2 Type II certified. Its security page also lists encryption in transit and at rest, least-privilege access, and customer-controlled LLM API keys.

Does Arcwise store my company's business data?

Arcwise processes metadata and queries within your connected data environment and does not store sensitive business data, according to its security documentation. Only metadata and queries are processed for analysis.

How does Arcwise explain metric changes?

Arcwise generates explanations directly from your data, SQL, and documentation. Each answer is designed to be inspectable, with links back to the queries and business logic behind the metric movement.

Who is Arcwise built for?

Arcwise targets enterprise teams in operations, finance, growth, logistics, airlines, insurance, and similar data-heavy functions that need faster, decision-ready answers when KPIs move.

How do I get access to Arcwise?

Arcwise is sold through enterprise demos. You can book a demo on arcwise.app or log in at sql.arcwise.app if your organization already has access.

Category:

Pricing:

Paid

Tags:

Metric Intelligence
Business Intelligence
Decision Support
Enterprise Analytics
Data Warehouse Connectivity
Google Sheets Integration
Automated Reporting
SQL Traceability
Operations Analytics
Institutional Memory

Tech used:

Google Sheets API
Large Language Models (LLM)
Snowflake Integration
BigQuery API
jQuery
Webflow
Amazon CloudFront
Google Cloud
Google Fonts
Font Awesome
Tailwind CSS

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