IBM Case Studies Advanced analytics help bank provide personalized loan offers even while automating its loan-approval process

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	Advanced analytics help bank provide personalized loan offers even while automating its loan-approval process IBM

Advanced analytics help bank provide personalized loan offers even while automating its loan-approval process

IBM

Technology Category	Application Infrastructure & Middleware - API Integration & Management
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Predictive Quality Analytics Predictive Replenishment
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	ING Bank Śląski, part of the ING Group, needed a more responsive, multichannel loan-application system to retain its competitive position as a modern credit bank. The bank was also concerned about the time to market for new products and promotions and the time to cash for approved loans. The bank wanted a system that could not only approve or deny credit in near-real time but also analyze a customer’s profile so that the bank could customize the final loan. The solution also needed to allow the bank to simulate and create the optimal requirements for new loan products before launch, speeding time to market and helping maximize revenue for the bank. Read More
About Customer	ING Bank Śląski is part of the ING Group, which established operations in Poland in 1991. Based in Katowice, the bank has 7,000 employees and 365 branches. It offers retail and wholesale banking to individuals and corporations. The bank is committed to retaining its competitive position as a modern credit bank and is constantly looking for ways to improve its services and offerings. The bank's focus is on providing a responsive, multichannel loan-application system that can quickly and efficiently process loan applications. Read More
Solution	ING Bank Śląski implemented a rules-based loan-application system using IBM Power 720 AIX Solution Edition, IBM Power 730 AIX Solution Edition, and IBM Operational Decision Manager. The system was designed to approve or deny credit in near-real time and to analyze a customer’s profile so that the bank could customize the final loan. The solution also allows the bank to simulate and create the optimal requirements for new loan products before launch, speeding time to market and helping maximize revenue for the bank. The implementation of the solution was supported by IBM Global Business Services — Application Innovation Services and IBM Global Technology Services — Integrated Technology Services. Read More Log in to view content
Contents

Technology Category

Application Infrastructure & Middleware - API Integration & Management

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Predictive Quality Analytics

Predictive Replenishment

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

ING Bank Śląski, part of the ING Group, needed a more responsive, multichannel loan-application system to retain its competitive position as a modern credit bank. The bank was also concerned about the time to market for new products and promotions and the time to cash for approved loans. The bank wanted a system that could not only approve or deny credit in near-real time but also analyze a customer’s profile so that the bank could customize the final loan. The solution also needed to allow the bank to simulate and create the optimal requirements for new loan products before launch, speeding time to market and helping maximize revenue for the bank.

About Customer

ING Bank Śląski is part of the ING Group, which established operations in Poland in 1991. Based in Katowice, the bank has 7,000 employees and 365 branches. It offers retail and wholesale banking to individuals and corporations. The bank is committed to retaining its competitive position as a modern credit bank and is constantly looking for ways to improve its services and offerings. The bank's focus is on providing a responsive, multichannel loan-application system that can quickly and efficiently process loan applications.

Solution

ING Bank Śląski implemented a rules-based loan-application system using IBM Power 720 AIX Solution Edition, IBM Power 730 AIX Solution Edition, and IBM Operational Decision Manager. The system was designed to approve or deny credit in near-real time and to analyze a customer’s profile so that the bank could customize the final loan. The solution also allows the bank to simulate and create the optimal requirements for new loan products before launch, speeding time to market and helping maximize revenue for the bank. The implementation of the solution was supported by IBM Global Business Services — Application Innovation Services and IBM Global Technology Services — Integrated Technology Services.

Impact #1	The new solution automates 90 percent of all loan decisions and processes upwards of 100,000 applications monthly.
Impact #2	The solution reduces time to cash for customers by 30 percent.
Impact #3	The solution provides ING Bank Śląski with full auditability and traceability of loan processes, helping it comply with a changing regulatory environment.

Impact #1

The new solution automates 90 percent of all loan decisions and processes upwards of 100,000 applications monthly.

Impact #2

The solution reduces time to cash for customers by 30 percent.

Impact #3

The solution provides ING Bank Śląski with full auditability and traceability of loan processes, helping it comply with a changing regulatory environment.

Benefit #1	Customer satisfaction and the bank’s competitiveness have increased.
Benefit #2	Tailoring loans to the customer has increased the applied-for versus granted-loan value by 20 percent, representing a major revenue increase for the bank.

Benefit #1

Customer satisfaction and the bank’s competitiveness have increased.

Benefit #2

Tailoring loans to the customer has increased the applied-for versus granted-loan value by 20 percent, representing a major revenue increase for the bank.

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Overview

Advanced analytics help bank provide personalized loan offers even while automating its loan-approval process

Operational Impact

Quantitative Benefit