Balancing Profitability and Risk in Banking: Overcoming Common Risk Analysis and Reporting Challenges

  • Source: SAP
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Banks need robust risk analysis and reporting solutions to improve reporting accuracy and efficiency, while reducing the costs and burdens of compliance. Yet many forces hamper efficient enterprise risk reporting, including regulatory and stakeholder pressures, process inefficiencies, and disparate data. This paper focuses on the risk reporting challenges facing banks, and outlines the best practices banks need to improve reporting and manage risk.

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Making the Business Case for Analytics in the Mid-Market

To build a strong business case for investing in analytics, mid-size companies need to overcome common barriers to adoption, and focus on value propositions that align with revenue growth and cost containment. The use cases captured in this paper demonstrate the value that organizations have realized in sales, risk management, and corporate reporting through analytics.  Read More

Wholesale Banking: Challenges in Automating Commercial Credit Risk Management

  • Source: IBM
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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

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud

Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.  Read More

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Banking Analytics with SAP for Banking

  • Source: SAP
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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

Reducing Operational Risk of IT Service in Finance

An overview for CIOs of the provision and management of IT services at a level that addresses the risk management issues raised by the Basel Committee's New Capital Accord expected to become effective during 2006. Because of the dependence financial institutions have on IT services, the accord requires adequate provision to assure the availability of these services. Centauri Business Service Manager is presented as the solution: one that allows a CIO to assess current risk levels, measure ongoing risk and support a process of ongoing improvement to reduce this risk. Furthermore, Centauri provides the financial institution with a cost-effective balanced scorecard to improve decision-making. 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
 
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