Quality Analytics Products
Overview
Below are list of active Analytics Products for Quality.
Analytics Products
Several tools and access information for Warranty Analytics can be found here :
| Product | Brief Description/Product Purpose | Directly Responsible Individual (DRI) | Technical Lead | ASMS |
|---|---|---|---|---|
| Quality Data & Analytics Platform (QDAP) | The Quality Data & Analytics Platform (QDAP) is GM Quality’s enterprise analytics backbone for vehicle quality analytics, reporting, and decision support. It is a governed collection of data ingestion, transformation, curation, storage, and consumption processes that brings together vehicle events, warranty claims, vehicle and dealer context, component trace, and RPO/reference data. | Matt Brozowski | Jason Grizzle | 189376 |
| Prognosis on Demand | This is a warranty prediction model that leverages warranty data using regressive machine learning model, predict potential warranty cost, optimize incident per thousand vehicle, Cost Per Vehicle, and improve vehicle reliability. | Jason Grizzle | Pablo Macias | 2329842 |
| Quality - Failure Mode Effect Analysis (FMEA) | Tool with Models (LLMs) tuned to FMEA datasets to accelerate the creation of initial FMEA documents by vehicle sub-system. Will significantly increase engineer productivity by reducing the current roughly 2 week manual process of creating initial FMEA documents to a few minutes.Automated FMEA: Minutes Instead of Weeks. Generate initial FMEA documents in minutes with AI-powered automation, significantly increasing engineering productivity. | Jason Grizzle | Dnyanesh Rajpathak | 2329842 |
| Quality DTC Analytics (ADEPT) | Deliver Dashboards to enable Quality teams to identify, prioritize, and analyze vehicle product issues using telemetry data, specifically Diagnostic Trouble Codes (DTCs). Integrate data science models with dashboards to identify and predict DTC trends early DTC: Predictive Diagnostics for Quality Improvement. Leverages dashboards and data science models to identify, analyze, and predict Diagnostic Trouble Codes (DTCs) using telemetry data. Stay up to date in the #ask-adept slack channel | Kelly Link | Ashok Gullapally | 2329842 |
| Warranty Data Cube (formerly Warranty Spend Analytics) | Warranty Data from 2010 and to date (refreshed daily) integrated in a custom curated multi-dimensional model catering to self-serve and descriptive analytics. The Warranty Data Cube Solution allows slicing and dicing of warranty-claims by multiple dimensions such as vehicle-attributes, regions, claim-dates, Quality Reliability Durability (QRD) Team, Systems Management Team (SMT), Global Purchasing and Supply Chain's creativity team, suppliers, part numbers etc. Also, this application has dashboards showing warranty claims by QRD, SMT, warranty-type and regions. Sources Include: ASMS 189376 - Quality Data & Analytics Platform (QDAP) - Warranty Claims Data. ASMS 15159-PartLink- Billing Overrides for parts and suppliers. ASMS 11268- Metrics and Reporting System (MARS)- Part DM, CSIDS Supplier Data. ASMS 180536-Vehicle Configuration 360 EDA- Vehicle Options, EV Type Code. User Managed Feeds- For Labor Controller, VMEC. Data curation is on Databricks in the data mesh. WDC Access Role is: 2329842-GBL-EQAAI-Data_Readers. Complete Documentation: https://gm-ei.atlassian.net/wiki/spaces/SCR/pages/392888650/Warranty+Data+CubeSelf | Jason Grizzle | 237954 | |
| VIN One Stop Shop (VOSS) | VIN One Stop Shop (VOSS) provides a common global reporting solution that helps solve customer-level problems. It automatically consolidates data from multiple sources and offers insight at the VIN level. Users select the needed data and enter a VIN to generate insights. Available data includes warranty claims (QDAP); vehicle diagnostics with Diagnostic Trouble Codes (DTCs) and Parameter Identifiers (PIDs) (QDAP); vehicle recall data from Global Field Action Management (GFAM); manufacturing data from Part Traceability (TRACE) and the Global Standard Inspection Process (GSIP); and customer survey and call-center data (TAC and CAC). | Renita Williams | ||
| QDAP DTC (QIS Reporting) | Data analysis tool capturing DTCs/PIDs/DIDs from ECUs through Dealers, Plants, VDRs, and OnStar. A global vehicle diagnostics data analysis tool that correlates Modules (ECM, TCM, etc.), vehicle diagnostics and parametric data with Warranty, Sales, OnStar Telematic and Connected Vehicle data (all available modules). QDAP DTC (formerly QIS2) is intended to be an analysis and data mining tool on vehicle diagnostics data that is retrieved from the vehicle through OnStar and the dealership during servicing and warranty repair. This application uses data from QDAP (ASMS 189376) (formerly QIS2 system ASMS 12702), which captures vehicle diagnostics and parametric data (DTCs/PIDs/DIDs) from Electronic Control Units (ECUs) captured through Dealers and Plants, Vehicle Data Recorders (VDRs) and OnStar and consolidates with warranty-claims data. Access - myAccess roles required: QDAP DTC Cognos Consumer, Global Quality QDAP Cognos Consumer. Stay up to date - Subscribe to the Slack channel #qdap-warranty-and-dtc for application updates. | Reesa Mason | Jason Grizzle | 189376 |
| QRD Analytics (Quality, Reliability, Durability) | Multiple visualizations and dashboards related to warranty claims and warranty spend, along with customer verbatims, support problem identification and root-cause analysis of production-vehicle issues. | Renita Williams | Kelly Link | |
| GIMS | During vehicle launch, the GIMS Reporting Suite provides Program Quality Managers (PQMs) with standard reports that offer visibility into incident status, issue aging, and closure performance. | Mary Rattay | 122197 | |
| WPAC Reporting (Warranty Parts Analysis Center) | This report shows the number of parts received by WPAC, disposition rate, and No Trouble Found (NTF) disposition rate by SMT, QRD, requestor, and project ID. | Rochelle Sharkey |
See Below the specific QRD Reports
| Product | Brief Description/Product Purpose | Directly Responsible Individual (DRI) | Technical Lead | ASMS |
|---|---|---|---|---|
| Claim Analysis - Underbody | This report provides users warranty data analytics with verbatim detail for Underbody (formerly BVAC) SMT to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - Interior | This report provides users warranty data analytics with verbatim detail for Interior SMT to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - Exterior | This report provides users warranty data analytics with verbatim detail for Exterior SMT to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - Mechatronic and Sensing Hardware | This report provides users warranty data analytics with verbatim detail for Mechatronic SMT to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - Vehicle CQE/Emerging Issues | This report provides users warranty data analytics with verbatim detail for vehicle programs to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - QRD/Emerging Issues | This report provides users warranty data analytics with verbatim detail for vehicle programs to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - Propulsion System | This report provides users warranty data analytics with verbatim detail for Propulsion to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle | |
| Claim Analysis - Transmission | This report provides users warranty data analytics with verbatim detail for Transmission to analyze, prioritize, and facilitate root-cause identification on warranty claims and resolve warranty issues quickly to drive deliver faster results. | Renita Williams | Jason Grizzle |
See Below the specific Warranty Data Cube (WDC) Reports
| Product | Brief Description/Product Purpose | Directly Responsible Individual (DRI) | Technical Lead | ASMS |
|---|---|---|---|---|
| Spend Analysis Cube | Warranty Spend Analysis South America. South America Team uses this interactive visualization to track Warranty Spend analysis | Samuel Berno | Jason Grizzle | |
| Spend Analysis - All SMTs DBX | This is the PowerBI version of Dashboard Analytics and visualizations related to warranty spend. It has multiple charts, diagrams, and other visuals to show monthly warranty spend amount by QRD, VPPS, labor code, model, model year, dealer, etc. | Jason Grizzle | ||
| Spend Analysis Warranty Cube Dashboard DBX | Old Tableau converted to Power BI. This dashboard has multiple charts, diagrams, and other visuals to show monthly warranty spend amount by warranty claim types, vehicle types, dealers, labor codes, etc. | Jason Grizzle | ||
| Spend Analysis - Buyers DBX | Warranty Spend Analysis Buyers report provides Warranty spend summary, Top 10 spend by Vehicle, SMT, Model Year and Labor Code by supplier. | Jason Grizzle | ||
| Warranty Analytics Recoverable Forecasts - The Turing Machine | A predictive analytics and planning tool updated quarterly. Its primary purpose is to deliver automated, data-driven 6-quarter OWT forecast to Finance, based on historic “approved” billing/claims by Creativity Team. | Robin Wu | Jason Grizzle |
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Support Channels
- #qdap-warranty-and-dtc
- #Warranty-data-analysis
- #ask-adept
Have an update? Send us your feedback via Slack at: #feedback-data-gm-com
Last updated: August 20, 2026 Document version: 1.0