...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...
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...To better understand why REI decided to work with IMB’s data warehouse technology, I think we need to understand what exactly IBM’s DB2 9 (data base 2 and also known as “Viperâ€) does with its software. IBM’s DB2 9 software can be utilized through Linux, UNIX (AIX, Solaris, and HP-UX), Windows, Mac OS, i5/OS, and z/OS. It is an enterprise –class data server that delivers hybrid data management for XML data and relational data in the same data base. It offers state of the art security as well. Viper brings huge advancements in the mainframe that allows queries at a rapid speed and provides consumers access to information without constraints. This allows a less need for system administration saving money in the future. Ambuj Goyal (GM of IBM of Information Management stated, “DB2 9 Viper for z/OS marks a significant milestone in the database software industry and has changed the rules of competition. Viper provides increased performance, deep compression capabilities along with scalability and availability that are unmatched anywhere in the industry." REI services over three million co-op members who live in different states who like different activities and purchase different equipment. These co-op members pay memberships and receive a percentage from REI. DB2 9 is vital in REI’s success because IBM’s DB2 9 allows better intimacy with its customer’s. This software recognizes a log in and where they are located and can not only suggest equipment they may like...
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...is one of the largest online retailers; in recent years, Amazon has shown its intention to broaden its core competency to become a more diverse online retailer by adding computing and storage services to its product base. The team will address whether Amazon’s strategy is a good one and describe how Amazon uses each component of a database. Also review the data management issues encountered by Amazon, share how Amazon addresses the relationship between data, information and knowledge, and last, describe how Amazon uses both e-business and e-Commerce for B2B and B2C. Components of a Database and How Amazon uses each Databases involve four different aspects: tables, forms, queries, and reports. Tables are a group of rows and columns that make up the entire database. They are made of information that can be entered, edited, stored, and reviewed (Mickey, 2005). Amazon uses tables to keep records of users and sales. For example, Amazon would use tables to keep records of a user’s credit card number, address, age, and a record of purchases and sales made by that user. This information would is kept in the Amazon’s database to track what kinds of purchases and sales the user makes and to deliver the products to the user. Forms are used to enter, view, and edit data (Mickey, 2005). According to Chris Cruikshank (1999), the form should have some form of validation so that the user cannot enter rubbish onto the database. Numbers must store numbers; dates should store dates and so on...
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...challenges for businesses looking to connect with the right professionals for their critical positions. At Modis, we help businesses overcome this challenge every day by making it easier to connect with, and hold on to, exceptional professionals with the right mix of IT skills and proven experience — those professionals that bring not only technical aptitude, but also deliver significant business value. One of the ways we can make it easier is through our 2013 Salary Guide, which features the most thorough, accurate and current collection of compensation insight for the IT industry. The figures presented in this guide are based on detailed hiring metrics from our nationwide branch network and a comprehensive examination of national hiring data and trends. In addition, the Salary Guide features detailed job descriptions for hundreds of IT positions. Investing wisely in your workforce is the surest way to ensure an optimal return. I hope that you find this Salary Guide extremely helpful in maximizing your ROI and that it helps you connect with the top IT professionals you need to make it happen. Sincerely, Jack Cullen, President 2 2013 sAlAry guIDe for IT...
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...French database community. This paper gives an outline of the directions in which the action participants are now engaged, namely: copy synchronization in disconnected computing, mobile transactions, database embedded in ultra-light devices, data confidentiality, P2P dissemination models and middleware adaptability. 1 ** Introduction At the end of 2001, the National Center for Scientific Research (CNRS) in France launched a number of specific actions (AS) in order to identify the most challenging issues to be investigated by the French research community (http://www.cnrs.fr/STIC/actions/as/as.htm). The impact of ubiquitous and pervasive computing in many aspects of our everyday life motivated the CNRS to fund a specific action on mobile databases, in October 2001 for an initial period of one year. This paper reports on the main results of this action. Different classes of mobile applications can be distinguished depending on the data management requirements they introduce. The most common applications today are Mobile Client – Fixed Host. Examples involve travelling employees accessing a fixed corporate database, mobile users accessing personal data (e.g., banking data, agenda, bookmarks) hosted by a Data Service Provider (DSP) or servers broadcasting information (e.g., traffic, weather, stock exchange) towards a large population of users [CFZ01]. Specific requirements concern...
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... hngo @cs.umn.edu, ¡ 1 Introduction A statistical database management system (SDBMS) is a database management system that can model, store and manipulate data in a manner well suited to the needs of users who want to perform statistical analyses on the data. Statistical databases have some special characteristics and requirements that are not supported by existing commercial database management systems. For example, while basic aggregation operations like SUM and AVG are part of SQL, there is no support for other commonly used operations like variance and co-variance. Such computations, as well as more advanced ones like regression and principal component analysis, are usually performed using statistical packages and libraries, such as SAS [1] and SPSS [2]. From the end user’s perspective, whether the statistical calculations are being performed in the database or in a statistical package can be quite transparent, especially from a functionality viewpoint. However, once the datasets to be analyzed grow beyond a certain size, the statistical package approach becomes infeasible, either due to its inability to handle large volumes of data, or the unacceptable computation times which make interactive analysis impossible. With the increasing sophistication of data collection instrumentation, and the cheap availability of large volume and high speed storage devices, most applications are today collecting data at unprecedented rates. In addition, an increasing number of applications...
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...Enterprise……………………………………………………………..3 BI in Banking………………………………………………………………………………..4 Customer Relationship Management………………………………………………………..6 Operational BI……………………………………………………………………………….7 Conclusion……………………………………………………………………………………10 References…………………………………………………………………………………….11 Current Trends in Business Intelligence Banking Introduction Business Intelligence is a computer based technique used in detecting, digging out and analyzing business data such as sales revenue. It analyses the data based on departments or products or by associated costs or income. Business Intelligence is asset of methodologies or technologies used to transfer raw data into useful and meaningful data. It also uses technologies such as Data Integration, Data Quality, Data Warehousing, Master Data Management, Context analytics etc. Business Intelligence provides a complete view of past, present and futuristic views of business operations. Business Intelligence helps in making better decisions. So it is called Decision Support System. Business Intelligence uses applications processes and technologies to analyze data. Business Intelligence helps in analyzing data and is used to convert raw data to useful data. Some common functions of Business Intelligence are data mining, data visualization, data interpretation and data management. Business Intelligence is an advanced technology used in data migration process. BI Application in an Enterprise Business Intelligence techniques are applied in the business...
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...Information management: The planning, budgeting, control and exploitation of the information resources in an organization. It comprises of information relating to personal, finance, marketing, organization and technology. It helps in the coordination and integration of a wide range of information about the activities inside the organization. The information include the formulation of corporate information policy, design, evaluation and integration ofeffective information systems and services, the exploitation of IT for competitiveadvantage and the integration of internal and external information and data. Data management: Data management is an organization's management of information and data for secure and structured access and storage. It includes creating policies for the government, analysis and architecture, database management, integration systems, data security and data source. Is comprises of a variety of different techniques that facilitate and ensure data control and flow from creation to processing, utilization and deletion. It is a main part in an IT industry as data and information builds up the organization. Infrastructure: It is the basic facilities, services and installations needed for the functioning of an organization. It is the underlying base or foundation needed especially by industries or companies to function with ease. Information management consists of computers, instructions, stored facts, consumers and procedures. The management information...
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...retailers. In recent years, Amazon has shown its intention to broaden its core competency to become a more diverse online retailer by adding computing and storage services to its product base. In this paper the team will address whether Amazon’s strategy is a good one. The team will also describe how Amazon uses each component of a database, review the data management issues encountered by Amazon, share how Amazon addresses the relationship between data, information, and knowledge and lastly, describe how Amazon uses both e-business and e-Commerce for B2B and B2C. The components of a database and how Amazon uses each. Databases are comprised of four different aspects – tables, forms, queries, and reports. Tables are a group of rows and columns that make up the entire database. They are made of information can be “entered, edited, stored, and reviewed” (Mickey, 2005). Amazon uses tables to keep records of users and sales. For example, Amazon would use tables to keep records of a user’s credit card number, address, and age, as well as a record of purchases and sales made by that user. This information would be kept in the Amazon’s database track what kinds of purchases and sales the user makes, and to deliver the products to the user. Forms are used to “enter, view, and edit data” (Mickey, 2005). According to Chris Cruikshank (1999) “The form should have some form of validation so that the user cannot enter ‘rubbish’ onto the database. Numbers must store numbers;...
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...The Strategic Center Firm (SCF) Kaplan University Leticia Butler IT-521: Decision Support Systems Professor Desiree Depriest Date Submitted: 7/23/2013 Executive Summary As one of the largest providers of outsourcing, collaborating opportunities firms, and newly appointed Strategic Center Firm. The organization must become the foundation for all network structures. This will require the company to operate globally. Contingent upon the case study provided by the CEO, we would begin an aggressive proposal to design and implement a DSS. The DSS will create cooperative and collaborative relationships with all shareholding companies globally. This design will include implementation of tools, application, data warehousing, and current DSS available. There are solid recommendations with justifications of current market products. The experience I have as a technical analyst will be present, showing my knowledge and understanding of technology requirements; integrate them into this proposal for the CEO, which supports the objective of this project. The components chosen will support current and future initiatives of the organization. There have been logical assumptions declared based on the objective of the case study that will bring global success to this organization. The Challenge The challenge as the new Strategic Center Firm (SCF), we must be the foundation for all the network’s structures. We must build a decision support structure that...
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...Information management CIS/207 10/08/12 Information is identified in an organization through a data management system. In an organization communication flows in five ways.1.downward 2.upward 3.lateral 4.diagonal 5.external A Data Management System consist of programs that enable you to store, modify and retrieve information from a database. A Data Management System is important to an organization because high quality data is needed in order for an organization to be successful. The goal of a Data Management System is to make raw data into high quality data. High quality data can help an organization to Increase revenue and cut expenses. Managers need quick access to correct, complete and consistent data from around the organization if they are to improve process and performance. Decisions they make and the service given to them is based on the data available to them. The data that they rely on is retrieved from a data base or data warehouse. Data bases store information and data that an organization generates from it application. This information generated can be sales information, revenue information, employee data etc.. A data warehouse is a specialized type of database that compiles data from databases so it can be analyzed. Communication that flows from a higher level in an organization to a lower level is a downward communication...
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...research paper/presentation on data security and leakage preventive solutions in the market. List all the regulations that apply to Financial Services, HealthCare industry. Data Security Summary: The major purposes of database security are confidentiality, accessibility, and honesty. The characteristics of these three are distinctive but they are correlated to each other. The information which is available in the database should be secured, must be spared from being assaulted, and to save the data or information which is secured to be done in a strong or effective way. Confidentiality is all about telling or giving the information with security. Secrecy of the information is all that much identified with the mystery. Secrecy in another word can be defined as privacy or confidentiality. Besides this, all the information or data which is stored need to be secured and also should be very easy to access to right persons. Accessibility is all about the accessibility of the information for the approved client at any given point where the customer or client needs it without any disturbance or discomfort to the client and at the same time security should strong enough that third person cannot access without permission. However, the approved client can get the way through to have access the available data. The troubles or problems occurred while accessing the data has its influence on trustworthiness that impacts the accessibility of the data as the approved client can get...
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...have largely penetrated the communication industry and have since overtaken the use of computers in accessing the internet (Australian Communications and Media Authority, 2012). Consequently, business organizations have since devised better marketing and planning strategies by utilizing Big Data facilities and technologies whereby businesses are capable of deriving user requirements based on the searches potential users conduct on their mobile devices. From our initial report, we were able to highlight how Big Data is utilized in an organization and the accrued advantages against disadvantages of implementing Big Data technologies. We shall begin this report by first responding to the issues raised by management and then continue to make recommendations on the utilization of Big Data. Addressing Feedback Big Data technologies are fairly new to this organization and thus management was bound to raise issues concerning implementation and feasibility of the project. In this section, we shall briefly highlight these issues and how they may be addressed to achieve the organization’s objectives cost effectively. These issues include; i. Cost of implementing Big Data technologies – Big Data...
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...University Management Software CIS 515 Strayer University Abstract This study examines the requirements for a consolidation strategy to centralize all student records for a prestigious university. As a result, this study will develop a data model to retain student records and allow data extraction and load processes, formulate a data structure entity relationship model for the data structure, show how business intelligence reports can help the university and examine and recommend software solutions for the university to utilize. Entity Relationship Model In order to properly indentify the university’s requirements and create an accurate proposal, the first step should be to create and Entity Relationship Model (ERM). The ERM will provide a visual representation of the data structure of the data stores and show the relationships between the data. The following diagram displays the ERM: The above ERM represents the data store relationships that are based on several assumptions. The first assumption is that the faculty is capable of teaching more than one course and that students can only enroll in one course curriculum. Another assumption is that faculty only teach at one campus and that teach faculty is assigned one Dean. Finally, another assumption is that some campuses have particular schools, whereas others do not. Therefore, the data represented in the ERM shows that relationships between the data structure, but it is based on assumptions...
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...applications have taken over the communications of business collaborations, industry operations, and customer connection. Corporate data are essential to organization's survival rate since these are decisive factors in maintaining their competitiveness on the market. Even for companies in non-Internet industries, they still need assistance from network capabilities for communication and collaboration. Information flow determined the daily operation flow within a company. Depending on the field that the organization falls into, these data can be internal, external, or both. By digitalized most of the physical documents, it is also important to enforce necessary security in order to protect essential information of the organizations and their clients. Due to the enormous amount of information collected on a daily basis, organizations tend to struggle to manage the high volume of physical documents without the help of IS database storage. Databases reduce the amount of physical documents by storing the information in a systematic way. The Information are collected from marketing, sales, customer connectivity, supply chain inventory and external data. These information provides a closer look at the status of the business's standing. The information comes in huge clumps. In order to crunch through the huge datasets, we rely on huge data management vendors whom are working as database warehouse equipped with powerful software and hardware that are capable of handling and analyzing...
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