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Finance Overview

Overview​

The Finance domain is GM's enterprise foundation for financial, operational, and vehicle profitability data. It is the source of consolidated financials reported to the Senior Leadership Team and external investors, and it powers the day-to-day analytics behind vehicle profitability, product cost, supplier spend, capital, cash flow, planning, and program imperatives.

Finance data is curated by Finance Data Engineering into a governed set of data products — each with its own gold-layer catalog schema, semantic models, dashboards, and certified business owners — so analysts, planners, and executives can find trusted answers without rebuilding logic across systems.

Finance Domain Data Products

Key Benefits​

  • Consolidated financials — quarterly close, SLT and investor reporting, and the Monthly Operating Review (MOR) leadership cycle.
  • Vehicle profitability — VIN-level variable profit, incentive effectiveness, dealer and channel performance (VPxVIN).
  • Product cost intelligence — material cost, mix and variance, build-volume, and BOM-level analysis (PCA, CPURAM).
  • Supplier spend & purchasing — global PO, invoice, and payment analytics (SSP / Spend Analytics).
  • Program cost & imperatives — material cost and vendor tooling targets across future programs (PIM).
  • Operational finance — indirect materials, plant spend, payments, treasury, tax & tariff, and currency.
  • Planning & forecasting — Hyperion-backed profit planning, volume, and long-term planning (GPPS, GVPS, GLTP, GBCT).

Ask Questions of Finance Data with Glean and Genie​

Finance users can ask questions in natural language through the Finance Agent, with Glean serving as the entry point and routing each request to the right source.

For data-backed questions, the experience can connect to Databricks Genie spaces built on curated Finance data.

For more general questions, it can use trusted Finance reference content and documentation. This gives users a simpler way to explore Finance data without needing to know the underlying tables, reports, or query logic.

Fin360 Glean and Genie diagram

How it works​

  • Ask a question in plain English.
  • The Finance Agent determines the best source for the request.
  • Data questions can be routed to Genie spaces for grounded answers.
  • General or contextual questions can be answered using approved Finance documentation.
  • When deeper analysis is needed, users can continue into Finance360 tools and views.

Example response​

The example below shows the kind of grounded response experience users can expect: a direct answer in business language, followed by supporting data.

Example Genie-backed response

Explore the Data Catalog​

Browse available Finance datasets and schemas:

  • GM Envolve offering fleet and business solutions beyond the vehicle: Confluence

  • Spend Analytics - Global payments to suppliers: Sign In

  • VPxVIN - Variable profit by vehicle: Sign In

  • CPURAM - Unit cost of produced vehicles: Connect your OneDrive account

  • Product line profitability

  • Material Cost Analysis

  • Consolidated Company financials

Who's Using this Data?​

Teams using Finance Data​

  • Finance leadership, FP&A, and Controllership
  • Regional finance teams (GMNA, GMIO, GMSA, China)
  • VSSM / SSM Finance, Sales & Marketing, Product Marketing
  • GPSC, sourcing, and material cost teams
  • Manufacturing, engineering cost, and plant finance
  • Treasury, Tax, Trade & Tariff
  • Finance Data Engineering and Finance IT

Reports and Dashboards​

Training & Learning Resources​

Finance Fundamentals Course​

Need Help? Connect with us​

Support Channels​

Have an update? Send us your feedback via Slack at: #feedback-data-gm-com​

Last updated: September 22, 2025 Document version: 1.0