List of FICO Customer Analytics Customers
Bozeman, 59715, MT,
United States
Since 2010, our global team of researchers has been studying FICO Customer Analytics 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 FICO Customer Analytics for Customer Analytics 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 FICO Customer Analytics for Customer Analytics include: Banreservas, a Dominican Republic based Banking and Financial Services organisation with 15250 employees and revenues of $7.51 billion, HSBC, a United Kingdom based Banking and Financial Services organisation with 5836 employees and revenues of $4.95 billion, Czech Savings Bank, a Czech Republic based Banking and Financial Services organisation with 9738 employees and revenues of $984.0 million and many others.
Contact us if you need a completed and verified list of companies using FICO Customer Analytics, 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.
The FICO Customer Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Banreservas | Banking and Financial Services | 15250 | $7.5B | Dominican Republic | FICO | FICO Customer Analytics | Customer Analytics | 2019 | n/a |
In 2019, Banreservas implemented FICO Customer Analytics to centralize credit decisioning and automate customer onboarding across its branch network in the Dominican Republic. The deployment targeted finance and customer-onboarding functions, using FICO Customer Analytics capabilities to standardize underwriting and origination workflows.
The bank configured FICO Origination Manager as the primary module within the FICO Customer Analytics deployment to centralize and automate credit origination workflows. Configuration emphasized automated decision rules, straight-through processing for routine loan files, and exception routing for manual review, enabling consistent application of credit policies.
Operational coverage consolidated branch-level loan intake and approvals into a centralized decisioning engine, impacting retail credit, loan operations, and customer onboarding teams. The implementation tightened governance over underwriting rules and standardized end-to-end origination workflows across Banreservas branches.
Outcomes explicitly reported include automation of 80 percent of loan applications and a 50 percent reduction in loan processing time, increasing processing capacity by 30 percent and enabling targeted upsells to 47 percent of approved applicants, and the project was recognized in FICO’s Decisions Awards. The Banreservas FICO Customer Analytics implementation is an example of Customer Analytics applied to credit origination and customer onboarding at scale.
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Czech Savings Bank | Banking and Financial Services | 9738 | $984M | Czech Republic | FICO | FICO Customer Analytics | Customer Analytics | 2021 | n/a |
In 2021, Czech Savings Bank implemented FICO Customer Analytics in the Customer Analytics category to apply prescriptive analytics to early collections in the Czech Republic. The deployment centered on FICO Decision Optimizer as the prescriptive engine integrated into collections decisioning to prioritize contacts and recommend collector actions.
The collections finance project was executed by the bank's in-house analytics team with minimal FICO coaching, and the implementation occurred during the COVID-19 period. Configuration focused on score based prioritization, call steering logic, and prescriptive action workflows that adjusted collector engagement cadence based on predicted roll risk. Operational scope covered early collections processes and collector interactions within the bank's Czech operations.
The effort reduced collector call minutes by 25 percent while maintaining stable balance roll rates and stable cash collected. Governance was retained by collections and analytics teams, with process changes embedded into collector workflows and decision governance routines. The program won a 2022 FICO Decisions Award.
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HSBC | Banking and Financial Services | 5836 | $5.0B | United Kingdom | FICO | FICO Customer Analytics | Customer Analytics | 2022 | n/a |
In 2022, HSBC implemented FICO Customer Analytics, deploying Customer Analytics to support finance and customer-management functions across its United Kingdom credit card portfolio. The deployment used FICO Decision Optimizer on the FICO Platform as the primary optimization engine for credit line increase strategies.
The program was configured using FICO’s optimization models on the FICO Platform and leveraged FICO Decision Optimizer for constrained optimization and offer simulation. Functional capabilities implemented included optimization model scoring, decision rule orchestration, and automated strategy simulation to evaluate lift in monthly card spend against credit risk constraints.
Operational scope concentrated on HSBC UK credit cards and involved finance and customer-management teams responsible for portfolio and offer execution. The implementation operationalized optimization outputs into credit line increase decision flows and ongoing strategy refinement processes for card product management.
Governance centered on model-driven decision rules and platform-based configuration to ensure consistent application of optimization results into offer decisions. The initiative produced an explicit 15% uplift in monthly card spend without increasing bad debt and received a 2024 FICO Decisions Award, with the program configured on the FICO Platform using FICO optimization models.
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