Secure Analytics: Maximizing Data Quality and Minimizing Risk for Banking and Insurance Firms

Do you use real customer profiles and statistics to drive marketing efforts, or real employee data for salary or benefit analysis? While these activities are critical to success, they can put you at risk for a data breach. But with a data security system, you can maintain the data’s original properties, while giving clearance for key business activities to proceed. Learn how to assure your sensitive data is protected.

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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

Credit Risk Management: Collateral, Covenants and Risk Review

  • Source: IBM
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If your organization is still managing credit risk manually, you could be leaving your company open to experience significant losses and complications that can harm its financial well-being. Multiple systems, piles of paper, inconsistent or out of date information- all could end up costing your company dearly. Today, the best way to ensure that credit risk is being appropriately monitored and managed is with the adoption of an automated system. With the implementation of an automated system, accuracy of data and efficiency of execution are significantly improved, and risk is monitored in a superior and more effective manner.

In this white paper, IBM highlights the benefits that an automated system for credit risk management can bring to your organization, including a reduction of human error on multiple levels, a marked increase in compliance, the capability to quickly track a data trail, and the capacity to effortlessly update and upgrade across multiple accounts and systems. Automation means valuations are up to the minute, and that transparency is increased. Document imaging, data entry, and automated workflow can resolve many problems previously encountered with manual procedures.

IBM’s Business Analytics offers a comprehensive 5-point action plan involving the importance of automating collateral processes, how to consolidate diverse systems and data, the benefits of automating collateral and covenant monitoring to reduce risk with the latest available information, and how automation supports release processes for minimized risk. Credit risk management can be modernized and refined as a result of changing towards an automated system. 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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Taking Control of Your Business: Growing Profitably in the Professional Services Market

  • Source: SAP
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How can a professional services firm grow profitably while providing clients with the services and project pricing they demand? The firm must rely on best-practice solutions to gain control over every aspect of business—from business development to resource planning to billing. Firms that plan and staff projects by relying on combinations of spreadsheets and management instinct will fall behind. Read More

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
 
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