Austin, 78702, TX,
United States
George Cox Automotive Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by George Cox Automotive and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 18 George Cox Automotive employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that George Cox Automotive has purchased the following applications: Microsoft 365 for Collaboration in 2022, Pendo SXM for Customer Experience, Customer Analytics in 2022, Software AG StreamSets Platform for iPaaS (Integration Platform as a Service) in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems George Cox Automotive is running and its propensity to invest more and deepen its relationship with Microsoft , Pendo.io , Acquia or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing George Cox Automotive revenues, which have grown to $2.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for George Cox Automotive intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Pendo.io | Legacy | Pendo SXM | Customer Experience, Customer Analytics | CRM | n/a | 2022 | 2022 |
In 2022, George Cox Automotive implemented Pendo SXM to centralize product analytics and deliver personalized in-app messaging for dealer-facing automotive and retail products. George Cox Automotive implemented Pendo SXM in the Customer Experience,Customer Analytics category to instrument product usage, surface behavioral insights, and enable targeted engagement across its product portfolio.
Pendo Analytics and In-app Guides are installed across multiple Cox products, including Manheim, providing event-level product analytics, segment-based messaging, and guided onboarding and support flows. A cross functional governance team was established to manage guide targeting, analytics instrumentation, and content cadence, aligning product management, support, and commercial teams to improve dealer outcomes, and the rollout is associated with a reported 39% increase in product activity.
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Analytics | CRM |
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2018 | 2018 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Software AG | Legacy | Software AG StreamSets Platform | iPaaS (Integration Platform as a Service) | PaaS | n/a | 2016 | 2017 |
In 2016, George Cox Automotive implemented Software AG StreamSets Platform, an iPaaS (Integration Platform as a Service), to ingest and harmonize data from more than 25 subsidiary companies into a central data lake in the United States, addressing persistent schema and semantic data drift for analytics and reporting. The deployment positioned Software AG StreamSets Platform as the canonical ingestion layer for consolidated reporting and analytics across the dealer and corporate data estate.
The project used StreamSets Data Collector as the explicit module to build and operate continuous ingestion pipelines, with configuration focused on schema normalization, field-level semantic mapping, and drift detection. StreamSets Data Collector pipelines were configured to parse heterogeneous source formats, apply transformations to harmonize schemas, and stage analytics-ready datasets in the central data lake.
Operational coverage included ingestion from 25 plus subsidiary data sources into the centralized lake, supporting data engineering and analytics teams responsible for reporting across the United States. Integrations were implemented at the data source and landing zone level, with StreamSets Data Collector operating as the runtime ingestion engine feeding downstream analytics consumers.
Governance centered on centralizing ingestion patterns and enforcing schema controls through the StreamSets Data Collector pipelines, standardizing how subsidiary feeds are onboarded and maintained. The project delivered a large increase in ingestion throughput and much faster access to analytics-ready data, improving the timeliness and consistency of reporting.
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2013 | 2013 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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