IT Infrastructure Trends in Banking

In the current regulatory environment, banks are facing two levels of challenges. While they are under pressure to expand beyond home territories, they also face stifling regulatory constraints. These restrictions are forcing banks to maximize on every capital expenditure they make. Such financial and regulatory reforms, in the face of the economic slowdown, have positive effects on quality assurance, governance and data management. But it also forces banks to hold capital that they would otherwise invest. This environment has made it vital for banks to sharpen their analytical and forecasting capabilities. Find out how the burden of regulation, expansion, cost optimization, and business transformation can be shared by an expert partner to foster an environment for growth.

Featured Software Research:

TEC 2015 Cloud BI and Analytics Buyer's Guide

  • Source:
  • Written By: Jorge Garcia
  • Published: December 9 2014
After the advent of the Internet, "cloud computing" is perhaps the biggest trend in the recent history of the IT industry. Computing in the cloud has dramatically affected how organizations run their businesses, and has accelerated the emergence of innovative BI and analytics offerings, from efficient software-as-a-service (SaaS) offerings to more robust solutions offered via a platform-as-a-service (PaaS) or infrastructure-as-a-service (IaaS).

This buyer’s guide provides an overview of the variety of cloud BI and analytics software offerings on the market and their main features and functions. Current market trends and case studies and thought leadership from some of the leading vendors in this software space are also included. Read More

Guide to IT Best Practices in Application-Aware Network Performance Management

Businesses are constantly striving to do more with fewer resources, and information technology (IT) departments are subject to the same pressures. They must contend with a growing number of applications and an increasingly complex infrastructure. The IT department’s arsenal includes tools for monitoring network, application, server, database, and end user performance, but typically they are not integrated with each other. That means that it’s end users who are detecting poor application performance, and the role of the IT team is reactive.

A modern performance management solution must be easy to use, include comprehensive alerting, and offer reporting that correlates data from each component of an application and the underlying infrastructure. Application-aware network performance management (AANPM) tools aim to provide a holistic view of the performance of interdependent applications, servers, and networks. Such cross-platform visibility enables the IT department to ensure high-performance delivery of critical business applications.

This white paper describes the trends in application performance and network diagnostic tools and the drivers of AANPM. You’ll learn about best practices for implementing AANPM and discover some enterprise use cases. Read More

Wholesale Banking: Challenges in Automating Commercial Credit Risk Management

  • Source: IBM
  • Written By:
  • Published:
The challenges associated with commercial credit are complicated, but through automation, commercial credit risk management can be made straightforward and more efficient. IBM’s Business Analytics for commercial banking can help improve commercial lending operations, and, along with strong risk management practices and modernized operations, can create best practices for implementation and enhance overall operational effectiveness.

It’s essential that an automated system is transparent, helps with compliance, can serve multiple relationship types, and is able to use several criteria for risk assessment. A good system should take into consideration the complexities between customer, loan, and approval processes, and limit the need for multiple individual systems by way of a single user interface or tightly integrated systems.

In this white paper, read a detailed overview from IBM Business Analytics about the advantages and potential challenges of automation in five areas of interest, including complexity of the customer and credit granted, as well as continuous risk monitoring and how to improve overall relationship management. Get details on the management and analysis of commercial portfolios and related documents, business intelligence reporting, and defaults/recoveries management. Also provided is an extensive point-form information checklist, allowing you to self-check your own organization to determine what areas may need attention. Security issues for data protection are also addressed.

Creating infrastructure for your organization for best success begins with choosing the best technologies, and IBM Business Analytics can help, improving profitability and providing solutions that allow your business goals to be realized.  Read More

You may also be interested in these related documents:

Case Study: Leading Online Bank Automates with Job Scheduling Solution

An online American bank, providing various financial services, needed to replace its legacy script-driven batch job processes with a job scheduling solution that could handle the bank’s growth. The bank’s IT team, however, faced two major hurdles affecting growth: both batch job processes and script-writing were manual and inefficient. A job management solution helped the bank achieve new levels of growth. Learn how. Read More

Banking Analytics with SAP for Banking

  • Source: SAP
  • Written By:
  • Published:
Banks face many challenges in today’s dynamic financial services marketplace. Banks must continuously enhance capabilities for risk and financial management to address market, credit, and regulatory environments that are increasingly complex. Thus, process support for your business strategies is crucial—which is why integrated tools are a must-have for financial accounting, cost controlling, risk management, asset-liability management, and profitability analysis. Read More

Wholesale Banking: Challenges in Automating Commercial Credit Risk Management

  • Source: IBM
  • Written By:
  • Published:
The challenges associated with commercial credit are complicated, but through automation, commercial credit risk management can be made straightforward and more efficient. IBM’s Business Analytics for commercial banking can help improve commercial lending operations, and, along with strong risk management practices and modernized operations, can create best practices for implementation and enhance overall operational effectiveness.

It’s essential that an automated system is transparent, helps with compliance, can serve multiple relationship types, and is able to use several criteria for risk assessment. A good system should take into consideration the complexities between customer, loan, and approval processes, and limit the need for multiple individual systems by way of a single user interface or tightly integrated systems.

In this white paper, read a detailed overview from IBM Business Analytics about the advantages and potential challenges of automation in five areas of interest, including complexity of the customer and credit granted, as well as continuous risk monitoring and how to improve overall relationship management. Get details on the management and analysis of commercial portfolios and related documents, business intelligence reporting, and defaults/recoveries management. Also provided is an extensive point-form information checklist, allowing you to self-check your own organization to determine what areas may need attention. Security issues for data protection are also addressed.

Creating infrastructure for your organization for best success begins with choosing the best technologies, and IBM Business Analytics can help, improving profitability and providing solutions that allow your business goals to be realized.  Read More
 
comments powered by Disqus