1. Are the items assessed in the performance scorecard fair? Do they fit Citibank’s stated goals & culture? Should measures that have “hard” data be treated differently from those that are more subjective? Why or why not? Are the items assessed in the performance scorecard fair? YES‚ they include important factors to the bank that should be understood by the professional managers and if they know the rules in advance then it is fair. Particularly scorecard template is clear and easy to understand
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Data Mining: A Tool for the Enhancement of Banking Sector Shipra Kalra; Rachika Gupta kalra.shipra87@gmail.com; guptarachika@yahoo.co.in Lecturer‚ Chanderprabhu Jain College of Higher Studies and School of Law‚ Sector A-8‚ Narela‚ Delhi-110040 Abstract Data mining is emerging as a very useful tool for providing valuable information from large databases and enabling managers and business executives to make hard core decisions in a much easier and effective manner. It is a process of analyzing the
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Case 1: Citibank Indonesia 1. Citibank’s budgeting process is based on a bottom-up method. It is not compromised of specific goals to be attained by individual operating units‚ but is composed for the corporation as a whole. Citibank was aiming for long-term goals‚ which call for profit growth of 12-15% per year‚ 1.25% return on assets‚ and 20% return on equity. These standards are set for the entire company‚ and individual sectors‚ such as international branches‚ usually set their own higher goals
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Secure Data mining in Cloud Computing U.Venkateshwarlu #1 #1 M.Tech‚Computer Science and Engineering ‚ JNTUH Hyderabad‚ AP‚ INDIA 1 uvenkatesh905@gmail.com Puppala Priyanka *2 2 M.Tech‚Computer Science and Engineering ‚ JNTUH Hyderabad‚ AP‚ INDIA 2 priya.puppala9@gmail.com Abstract— Data mining techniques are very important in the cloud computing paradigm. The integration of data mining techniques with Cloud computing allows the users to extract useful information from a data warehouse
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October 04‚ 2010 Citibank: Performance Evaluation In 1996‚ Citibank was an emergent banking institution attempting to increase its market share in the competitive Los Angeles area. In order to do so‚ the bank’s strategy was to focus slightly less on their financial growth‚ and much more on providing “a high level of service to its customers”. Management viewed this paradigm shift as “critical to the long term success of the franchise”. To implement these changes‚ a new Citibank employee performance
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Harvard Business School 9-198-048 Rev. October 14‚ 1999 Citibank: Performance Evaluation Frits Seegers‚ President of Citibank California‚ was meeting with his management team to review the performance evaluation and bonus decisions for the California branch managers. James McGaran’s performance evaluation was next. Frits felt uneasy about this one. McGaran was manager of the most important branch in the Los Angeles area‚ and his financials were impressive. A year ago he would have
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I. Critical evaluation of Citibank performance evaluation form: Citibank corporate strategy: focused on combining excellent customer service strategy along with relationship banking to build a profitable competitive franchise. Customers were offered the convenience of choosing the type of service delivery‚ whether personal or remote. But as high end customers become more and more valuable to the bank‚ their service expectations also went up. Increased service demands included broad array of financial
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Cluster analysis using data mining approach to develop CRM methodology to assess the customer loyalty Seyed Mohammad Seyed Hosseini *‚ Anahita Maleki‚ Mohammad Reza Gholamian Industrial Engineering Department‚ Iran University of Science and Technology‚ Tehran‚ Iran a r t i c l e i n f o a b s t r a c t Data mining (DM) methodology has a tremendous contribution for researchers to extract the hidden knowledge and information which have been inherited in the data used by researchers. This
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Programme – Term IV – AY 20012-13 Business Intelligence And Data Mining Group Assignment on NGO Donations Maximization Abstract The problem is associated to devising a strategy to maximize the profits from a Direct Marketing Campaign to a selected group of customers while minimizing costs . The exercise requires the use of Business Intelligence tools and techniques to build a model ‚ trained and tested on the historical data for the last year’s donation raising campaign . From this
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1. MINING INDUSTRIES IN THE PHILIPPINES: * Luis Gonzales Jr. Mining * Goldenboys ‚Inc. * Steelfab Water Solutions Asia Inc. * Fil Edward Rey A. Manila * Mg-gelber Trading Co. * Sytenco Philippines Corporation * Maricalum Mining Corporation * Tangshan Relia Industrial Pump. Co.‚Itd Maricalum Mining Corporation (MMC) in south Negros. Having 2‚673 claims on mining in Barangays Cansauro‚ Hinablan‚ Tao-angan and Hinablan‚ of the towns of Cauayan and Sipalay‚ Negros Occidental
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