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Financial Management Solved

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The statement to assess is the capability of larger banks. The topic suggests that larger banks should not be limited by the regulators as the larger pool of the asset means diversification of the portfolio. From the regulators perspective it means higher risk which has potential to engulf lot out of financial system.

Large banking demands are a key business driver for regulator decisions in this industry sector. A large bank uses a broad range of technology-centric capabilities that enable new methods of interaction and service delivery to augment customer experience and potentially transform the business (Admati, 2014).

These capabilities are supported by a robust, dynamic and accessible large infrastructure and an open banking system that transforms the analog environment. However, for many banks, their application portfolio represents transactional interaction support that matches consumer expectations of banking from decades past (Khairi, 2015).

The demands of today's banking customers transcend ATM ubiquity and the convenience of branch banking locations. Traditional banks that aspire to compete with disruptive financial technology firms have to focus on the formerly defined mid-office and back-office technologies with specific attention on supporting hardware platforms.

The challenge for many of today's modernization projects is not simply a change in technology, but often a fundamental restructuring of application architectures and deployment models. Mainframe hardware and software architectures have defined the structure of applications built on this platform for the last 50 years. Tending toward large-scale, monolithic systems that are predominantly customized, they represent the ultimate in size, complexity, reliability and availability.

Today's modern computing environments represent a very different model. Commodity x86, scale-out environments define a different set of technologies, database management system (DBMS) platforms and architectures. Modernizing legacy systems from a mainframe architecture to a distributed one is a major challenge for any large-scale financial institution (Grubel¸2014).

There is a distinct retreat by bank CIOs from high-cost, complex mid-office and back-office environments to easier-accessed functionality promoted by component-based solutions. Simplification, agility and operational efficiency are the primary drivers behind banks' efforts to abandon legacy solutions and past deployment practices. While many organizations that are dependent on mainframe architectures could have modernized their existing portfolios over time in an evolutionary fashion, many chose to avoid the risk of change and preserve their extant systems, continuing to leverage their current staff resources. As the reality of the demographic shift of baby boomers became clearer to many organizations, this risk-averse option is becoming more problematic (Laeven¸2013). Now, the ability to attack such a massive application portfolio and restructure it for modern languages and platforms is seen as a great risk. The procrastination of yesterday's regulator organizations is now driving different modernization decisions, including moving to commercially available packaged solutions for many use cases, including core banking. These capabilities are supported by a robust, dynamic and accessible large infrastructure and an open banking system that transforms the analog environment. However, for many banks, their application portfolio represents transactional interaction support that matches consumer expectations of banking from decades past (Schludi, 2015).

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