CHAPTER – 1 INTRODUCTION Market penetration is one of the four growth strategies of the Product-Market Growth Matrix as defined by Ansoff. Market penetration occurs when a company enters/penetrates a market in which current products already exist. The best way to achieve this is by gaining competitors ’ customers (part of their market share). Other ways include attracting non-users of your product or convincing current clients to use more of your product/service (by advertising etc.). Ansoff
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high-development and low-development (Martin & Verdier 2008). Organizations‚ like HSBC‚ who have recognized this‚ have invested resources to evolve their economic development over time. HSBC developed their organizational-driven growth model to successfully create a model for long-term sustainability‚ growth and profitability. The model is shown below: Figure: The HSBC organizational-growth model (Image source: Deans & Kroeger 2004) HSBC was founded by Thomas Sutherland in 1865 in Hong Kong and for many years
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The HSBC bank according to the market consensus website (2013) was ranked top amongst other banks in the UK‚ with global business operations spanning across 85 countries worldwide and a total of $2681 billion in assets. (HSBC‚ 2012). Over the years‚ the HSBC bank has deployed strategic information systems to help augment internal processes and increase customer satisfaction. YEAR TECHNOLOGY Strategic Implication/Impact 2003 Whirl/E-Champs Credit Card Authorization and Accounting platform One
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Measurement in Physical Education and Exercise Science‚ 17: 171–186‚ 2013 Copyright © Taylor & Francis Group‚ LLC ISSN: 1091-367X print / 1532-7841 online DOI: 10.1080/1091367X.2013.805137 Data Mining in Elite Sports: A Review and a Framework Bahadorreza Ofoghi Institute of Sport‚ Exercise‚ and Active Living‚ Victoria University Melbourne‚ Victoria‚ Australia Victorian Institute of Sport Albert Park‚ Victoria‚ Australia John Zeleznikow and Clare MacMahon Institute of Sport‚ Exercise
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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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HSBC: The world’s local bank Written by James Gregory on February 03‚ 2009. HSBC’s print ads are easily identifiable – a solid red border‚ a repeated image‚ and a strong one-liner that embodies their brand. HSBC’s ad campaign utilizes several strong and effective tactics to gain attention. A majority of the ads involve a single image‚ copied three times‚ with a different value printed over each copy of the image. HSBC’s tagline gives the impression HSBC understands different people and locations
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Business Intelligence Solutions HSBC sparks CRM with the Customer Management Assessment Tool (CMAT) As competition in the finance sector continues to heat up‚ the idea of implementing savvy Customer Relationship Management (CRM) strategies has moved from the “nice-tohave” category onto the critical path for most companies. Analysts’ predictions have fuelled the fire. A worldrenowned firm predicts as much as a 900% increase in CRM spending in the industry over the next five years. The complexities
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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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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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