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    Data Analysis

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    Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information

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    Hbl Data

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    HABIB BANK LIMITED PAKISTAN Introduction Habib Bank Limited (commonly referred to as "HBL") (Arabic: حَبيب بينك) is the largest bank in Pakistan and a thoroughly established banking chain throughout the world. An extensive network of 1425 branches in Pakistan and 55 international branches makes it one of the largest banks in Pakistan today. Habib Bank Plaza located in Karachi‚ Sindh is the formal headquarters of the bank. The bank has a network outside Pakistan including USA‚ UK‚ Middle East

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    My Data

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    COURSE NO | SUBJECT | FACULTY | CC09 | FINANCIAL MANAGEMEMENT | Ms. AMBILI JOSE | CC10 | MARKETING MANAGEMENT | Mr. SREENATH .R | CC11 | HUMAN RESOURCE MANAGEMENT | Dr. ANU GEORGE | CC12 | OPERATIONS MANAGEMENT | Mr. NIBU RAJ ABRAHAM | CC13 | ENVIRONMENT MANAGEMENT | Mr. GIJO GEORGE | CC14 | OPERATIONS RESEARCH | Ms. AMBILI JOSE | CC15 | RESEARCH METHODOLOGY | Mr. JEFFIN JOHN | CC16 | MANAGEMENT INFORMATION SYSTEMS | Mr. MIDHUN JOSE | CC17 | VIVA- VOCE | | CC09 -FINANCIAL

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    Data Recovery

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    Data Recovery Book V1.0 (Visit http://www.easeus.com for more information) DATA RECOVERY BOOK V1.0 FOREWORD ---------------------------------------------------------------------------------------------------------------------The core of information age is the information technology‚ while the core of the information technology consists in the information process and storage. Along with the rapid development of the information and the popularization of the personal computer‚ people find information

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    Data mining

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    it for any other purpose. DATE: 06/10/2013 Introduction: In data mining it is said that “success or failure often depends not only on how well you are able to collect data but also on how well you are able to convert them into knowledge that will help you better manage your business (Wilson‚ 2001‚ p. 26).” Tourism and hospitality industry generates massive amount of data. In each and every transaction there is set of data generated. In tourism and hospitality‚ knowing your customer is very

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    Secondary Data

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    1 Secondary data analysis: an introduction All data are the consequence of one person asking questions of someone else. (Jacob 1984: 43) This chapter introduces the field of secondary data analysis. It begins by considering what it is that we mean by secondary data analysis‚ before describing the type of data that might lend itself to secondary analysis and the ways in which the approach has developed as a research tool in social and educational research. The second part of the chapter considers

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    Data Warehousing

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    Data Warehousing‚ Data Marts and Data Mining Data Marts A data mart is a subset of an organizational data store‚ usually oriented to a specific purpose or major data subject‚ that may be distributed to support business needs. Data marts are analytical data stores designed to focus on specific business functions for a specific community within an organization. Data marts are often derived from subsets of data in a data warehouse‚ though in the bottom-up data warehouse design methodology the data

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    Data Mining

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    Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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    Customer Data

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    CUSTOMER DATA In the term of customer data‚ technology now day give a big role to evaluate the concepts by the overall to moving ownership of the customer when they are away from the individual departments and different it at the enterprise level. In the customer relationship management concept‚ individual that in the each department has responsible for the customer. The success factor for Customer Relationship Management (CRM) is by deploying technology that provides various levels of data access

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