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GE Capital Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by GE Capital and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 35000 GE Capital employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that GE Capital has purchased the following applications: FIS GETPAID for AR Automation in 2003, Oracle Cloud HCM for Core HR in 2016, Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) for Analytics and BI in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems GE Capital is running and its propensity to invest more and deepen its relationship with FIS Global , Oracle , SAP 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 GE Capital revenues, which have grown to $7.00 billion 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 GE Capital 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| FIS Global | Legacy | FIS GETPAID | AR Automation | ERP Financial Management | n/a | 2003 | 2003 |
In 2003, GE Capital implemented FIS GETPAID to automate accounts receivable workflows within the AR Automation category. The deployment focused on programmatic generation of repayment file and Funding file generation for invoice details, aligning the FIS GETPAID application with GE Capital billing and factoring processes.
The implementation configured FIS GETPAID to apply business logic against a customer master file and an all item file, each carrying customer details and invoice line item information. Core functional modules implemented included invoice factoring logic, repayment file generation, and funding file creation, with processing rules that determine which invoices are factored based on the detail feeds. Processing was organized as staged file intake and transformation, with validation and mapping routines applied to customer and item records prior to file generation.
Integrations centered on batch file feeds, explicitly ingesting the customer master file and the all item file, and consuming invoice detail feeds identified as coming from a client system called GETPAID. Operational scope covered accounts receivable and funding operations within GE Capital, with system workflows replacing manual file assembly by automating mapping, factoring decisions, and output file production for downstream funding processes.
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ERP Financial | ERP Financial Management |
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2007 | 2009 |
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Expense Management | ERP Financial Management |
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2013 | 2013 |
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Expense Management | ERP Financial Management |
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2007 | 2007 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| Oracle | Legacy | Oracle Cloud HCM | Core HR | HCM | n/a | 2016 | 2017 |
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Time and Attendance | HCM |
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2002 | 2002 |
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Workforce Management | HCM |
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2002 | 2002 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) | Analytics and BI | Analytics and BI | n/a | 2014 | 2018 |
In 2014 GE Capital implemented Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) to support enterprise Analytics and BI requirements for Business Intelligence and reporting workflows. The deployment centered on SQL Server database objects, ETL packages and SSRS reporting services to deliver drilldown reporting and analytic feeds.
Development work included complex T-SQL queries and user defined functions, together with nested stored procedures used to build a Rule Engine that applies complex business rules and is callable by SSIS packages, a web service, stored procedures and the UI. Developers created views to simplify database maintenance and to support the complex stored procedures, and they designed both normalized and de-normalized tables, lookup tables and relationship schemas based on gathered requirements.
SSRS Reporting Services was used to query the database and generate drilldown reports for Business Intelligence consumers, with report logic leveraging the centralized Rule Engine. SSIS packages served as execution hosts for scheduled data flows and for invoking the Rule Engine, while stored procedures provided synchronous access for application workflows, aligning ETL orchestration with reporting consumption.
Requirements gathering and schema design established governance around table normalization and lookup definitions to enforce consistent dimensional and relational models across reports. Centralizing business rule execution in nested stored procedures and a callable Rule Engine standardized rule application across packages, web services, stored procedures and UI layers. The architecture emphasized maintainability through modular T-SQL constructs and views, and used the Microsoft BI (SSRS, SSAS, SSIS, SQL Server Reporting) stack to unify ETL, rule execution and reporting for Analytics and BI.
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2021 | 2021 |
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Web Content Management | Content Management |
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2021 | 2021 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2009 | 2009 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2012 | 2012 |
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Customer Support | CRM |
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2015 | 2015 |
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Data Management Platform | CRM |
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2018 | 2018 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2020 | 2020 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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EPM | EPM |
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2016 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2017 | 2017 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Supplier Relationship Management | Procurement |
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2010 | 2010 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Risk Management | TRM |
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2014 | 2014 |
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Treasury Management | TRM |
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2013 | 2013 |
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Treasury Management | TRM |
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2018 | 2018 |
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Treasury Management | TRM |
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2014 | 2014 |
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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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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2012 | 2012 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2012 | 2012 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2014 | 2014 |
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| Date | Company | Status | Vendor | Product | Category | Market |
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