Software AG Case Studies Reduced Risk with Automated Controls

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	Reduced Risk with Automated Controls Software AG

Reduced Risk with Automated Controls

Software AG

Technology Category	Analytics & Modeling - Big Data Analytics
Applicable Industries	Finance & Insurance
Applicable Functions	Business Operation
Services	Data Science Services
Challenge	ING, a multinational banking corporation, was facing a challenge in monitoring rogue trading activities and market abuse. The bank had an overwhelming amount of data to analyze and needed to transition into data analytics. The existing manual controls were not sufficient to handle the vast amount of data and the complex regulatory requirements. The bank needed a robust, scalable, and flexible solution that could automate the monitoring process across the financial markets value chain. Read More
About Customer	ING is a multinational banking corporation based in the Netherlands. It offers a wide range of financial services, including retail banking, direct banking, commercial banking, investment banking, asset management, and insurance services. With a vast customer base and operations across multiple countries, ING handles a significant amount of data related to trading activities. The bank needed to enhance its controls to monitor for rogue trading activities and market abuse effectively. Read More
Solution	ING decided to implement Apama, an automated solution that could handle the vast amount of data and monitor for rogue trading activities and market abuse. A proof-of-concept showed that Apama was the right fit for ING's needs. The solution was global, robust, scalable, and flexible, meeting all of ING's requirements. Software AG, the provider of Apama, also stood out in terms of turnaround time, responsiveness, and ability to adapt to ING's needs. The delivery of the solution took only three months, demonstrating the efficiency and effectiveness of the implementation process. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Applicable Industries

Finance & Insurance

Applicable Functions

Business Operation

Services

Data Science Services

Challenge

ING, a multinational banking corporation, was facing a challenge in monitoring rogue trading activities and market abuse. The bank had an overwhelming amount of data to analyze and needed to transition into data analytics. The existing manual controls were not sufficient to handle the vast amount of data and the complex regulatory requirements. The bank needed a robust, scalable, and flexible solution that could automate the monitoring process across the financial markets value chain.

About Customer

ING is a multinational banking corporation based in the Netherlands. It offers a wide range of financial services, including retail banking, direct banking, commercial banking, investment banking, asset management, and insurance services. With a vast customer base and operations across multiple countries, ING handles a significant amount of data related to trading activities. The bank needed to enhance its controls to monitor for rogue trading activities and market abuse effectively.

Solution

ING decided to implement Apama, an automated solution that could handle the vast amount of data and monitor for rogue trading activities and market abuse. A proof-of-concept showed that Apama was the right fit for ING's needs. The solution was global, robust, scalable, and flexible, meeting all of ING's requirements. Software AG, the provider of Apama, also stood out in terms of turnaround time, responsiveness, and ability to adapt to ING's needs. The delivery of the solution took only three months, demonstrating the efficiency and effectiveness of the implementation process.

Impact #1	The implementation of Apama allowed ING to monitor across the financial markets value chain using data analytics.
Impact #2	The bank was able to comply with complex regulatory requirements.
Impact #3	The solution supported the dynamic business needs of ING with its incremental approach.

Impact #1

The implementation of Apama allowed ING to monitor across the financial markets value chain using data analytics.

Impact #2

The bank was able to comply with complex regulatory requirements.

Impact #3

The solution supported the dynamic business needs of ING with its incremental approach.

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Overview

Reduced Risk with Automated Controls

Operational Impact