List of Experian Ascend CECL Forecaster Customers
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Since 2010, our global team of researchers has been studying Experian Ascend CECL Forecaster customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Experian Ascend CECL Forecaster for Loan Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Experian Ascend CECL Forecaster for Loan Management include: Ally Financial, a United States based Banking and Financial Services organisation with 10700 employees and revenues of $8.20 billion, OneMain Financial, a United States based Banking and Financial Services organisation with 9100 employees and revenues of $4.28 billion, OneAZ Credit Union, a United States based Banking and Financial Services organisation with 505 employees and revenues of $108.0 million and many others.
Contact us if you need a completed and verified list of companies using Experian Ascend CECL Forecaster, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Ally Financial | Banking and Financial Services | 10700 | $8.2B | United States | Experian | Experian Ascend CECL Forecaster | Loan Management | 2019 | n/a |
In 2019, Ally Financial began using Experian Ascend CECL Forecaster in a Loan Management context, an inference drawn from the company’s public use of Experian’s Ascend Sandbox for portfolio analysis and model development. The Experian Ascend CECL Forecaster was applied to CECL provisioning and forward-looking allowance workflows within finance and credit-risk activities.
Deployment leveraged Experian’s Ascend Sandbox environment as the primary development and experimentation layer, enabling scenario-based CECL projections and iterative model development. Functional capabilities implemented included CECL forecasting, stress scenario modeling, portfolio segmentation for loss estimation, and model validation workflows consistent with Loan Management solution patterns.
Operational coverage focused on Ally’s finance and credit-risk teams in the United States, using sandbox-driven experimentation to optimize portfolios and accelerate model development cycles. Integrations were centered on the Ascend environment as the analytical and modeling platform, with implementation patterns emphasizing separation of development and production model workstreams.
Governance emphasized controlled model iteration and validation, with sandbox experiments supporting versioning and staged promotion of forecasting models into production processes. The approach prioritized portfolio optimization and faster model development for CECL provisioning without publicly stated outcomes or vendor implementation partners.
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OneAZ Credit Union | Banking and Financial Services | 505 | $108M | United States | Experian | Experian Ascend CECL Forecaster | Loan Management | 2020 | n/a |
In 2020, OneAZ Credit Union implemented Experian Ascend CECL Forecaster to strengthen lending operations and loan-management processes. The deployment focused on Experian automated decisioning and analytics across OneAZ's lending operations in the United States, aligning the Experian Ascend CECL Forecaster with the institution's Loan Management function.
Functional capabilities implemented emphasized automated decisioning, portfolio and lending analytics, and CECL forecasting tied into loan decision workflows, with exception routing and review queues to reduce manual intervention. Governance and workflow changes centralized decisioning controls and underwriting exception handling, and the program produced increased loan funding rates and reduced manual reviews while supporting loan-management processes across the credit union.
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OneMain Financial | Banking and Financial Services | 9100 | $4.3B | United States | Experian | Experian Ascend CECL Forecaster | Loan Management | 2018 | n/a |
In 2018 OneMain Financial implemented Experian Ascend CECL Forecaster for Loan Management to support finance and risk analytics in the United States. The deployment used Experian’s Ascend Analytical Sandbox to accelerate risk model development, shorten archive processes and improve credit portfolio analytics.
Experian Ascend CECL Forecaster usage is inferred from OneMain’s documented use of the Ascend platform for stress testing and loss forecasting, aligning with CECL forecasting, scenario stress testing and credit loss projection workflows common in Loan Management applications. Configuration emphasis included analytical sandboxing, model iteration workflows and archival acceleration for credit portfolio data, enabling repeated scenario runs and data rehydration for model validation.
Operational coverage was focused on OneMain’s finance and risk organization in the United States, integrating the Ascend Analytical Sandbox into credit analytics and archival processes. Governance and rollout centered on model development pipelines and archival operationalization within finance and risk teams, with reported outcomes of faster risk model development, shorter archive processes and improved credit portfolio analytics.
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