Streamline Data

In: Business and Management

Submitted By dungtuan
Words 2715
Pages 11
Abstract

For big organization such as Goldman Sachs, valuable data that has large impact on the firm businesses is usually fragmented between multiple departments. The ideal data structure that the large organization should have is one single data base with customized data cut for each department. Large organization have been paying a lot of money and effort to reach this state, from large retail store trying to consolidate regional sale data base to online retailer like Amazon to enhance their data bank for analytical purposes. This dissertation will analyze Goldman Sachs data structure. We will go in depth to give the strength and weakness of the current structure and how it will limit the bank ability to adapt the changing environment. Lastly, we will discuss some changes that can be made to the current structure to improve those disadvantages and what benefit those changes will help the bank in current financial environment.

Back Ground

Company Background: Goldman Sachs is an American multinational Investment Bank who generates main revenue from Broker Dealer, Investment Management, Advisory and Investment Banking activities. Founded in 1869, the firm is headquartered in New York and as of 2014, the firm has offices in all major financial centers around the world. As of 2013, Goldman Sachs had 32,000 employees worldwide. In 2007, amid of Financial Crisis, Goldman open the commercial bank franchise headquartered in Salt Lake City, UT for private lending purposes. In 2010, Goldman agreed to the financial aid package from the Fed and to compliance with the regulator, the firm move the Bank’s headquarter from Salt Lake City to New York and become a bank holding entity.
Problem Background:
After becoming a bank holding entity, Goldman Sachs has to follow the Fed risk guideline which covers Market Risk, Credit Risk and Operational Risk. To be…...

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