Collecting‚ Reviewing‚ and Analyzing Secondary Data WHAT IS SECONDARY DATA REVIEW AND ANALYSIS? Secondary data analysis can be literally defined as second-hand analysis. It is the analysis of data or information that was either gathered by someone else (e.g.‚ researchers‚ institutions‚ other NGOs‚ etc.) or for some other purpose than the one currently being considered‚ or often a combination of the two (Cnossen 1997). If secondary research and data analysis is undertaken with care and diligence
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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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LECTURE 1 DATA TYPES Our interactions (inputs and outputs) of a program are treated in many languages as a stream of bytes. These bytes represent data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data that can be interpreted as representing values that we understand. Additionally‚ within a program we process this data in various way such as adding them up or sorting them. This data comes in different forms. Examples include: your
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CHAPTER 12 ROUTING IN SWITCHED NETWORKS A NSWERS TO Q UESTIONS 12.1 The average load expected over the course of the busiest hour of use during the course of a day. 12.2 The tradeoff is between efficiency and resilience. 12.3 A static routing strategy does not adapt to changing conditions on the network but uses a fixed strategy developed ahead of time. With alternate routing‚ there are a number of alternate routes between source and destination and a dynamic choice of routes is
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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KFC * 1. INTRODUCTION …… KFC is the world’s No.1 Chicken QSR. Leading in UK‚ Australia‚ South Africa‚ China‚USA‚ Malaysia and many more. Introduced many offerings for its growing customer base in India while staying rooted in the taste legacy of Colonel Harland Sander’s secret recipe. Products are made on the motto of“Crispy outside‚ juicy inside” . In India‚ KFC is growing rapidly and today has presence in 21 * 2. HISTORICALBACKGROUND…… In 1930’s Colonel Harland Sanders some distinguished
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China Textile in Global Value Chain Jean RUFFIER CNRS searcher‚ CEFC‚ Centre d’Etudes Français sur la Chine Contemporaine‚ Hongkong French chair of Centre franco-chinois de sociologie de recherche sur les organisations 中法组织研究中心‚ SUN Yatsen University‚ Guangzhouruffier@univ-lyon3.fr[->0] After being a worldwide threat‚ Chinese apparel industry is facing a double challenge: 1 - Either to remain a low cost base in the international value chain using low wage advantages with a double
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Values In different region of the world people have different beliefs that guide and shape the way they live their life. A value is an important and life lasting beliefs or ideals shared by people of the same culture about what is good or bad‚ and what is desirable or undesirable. What may seem valuable to one person may not be the same as to the next person‚ cultures differ in many ways and those values that shapes our culture is also the root of our lifestyle. Throughout our lives
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Analysis of Loan data and relationship with various factors Introduction As we all know the history of loans as old as the history of money. Earlier there used to be different mechanism of lending money and recovering it. In simple terms it was the process in which the people who have more money than they required used to give money to people who didn’t had enough. Over the years with the evolution of economics the loan process became extremely important for the people who made business out of it. They
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Data Anomalies Normalization is the process of splitting relations into well-structured relations that allow users to inset‚ delete‚ and update tuples without introducing database inconsistencies. Without normalization many problems can occur when trying to load an integrated conceptual model into the DBMS. These problems arise from relations that are generated directly from user views are called anomalies. There are three types of anomalies: update‚ deletion and insertion anomalies. An update anomaly
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