are they doing to get the customer loyalty‚ to maintain there market. This is also to find the preferences of customer and there market knowledge and product information‚ information about the presence of the rivals of HUL and all the other options they have in the market. What are the techniques they adopt to know about the preferences and changing needs of the customer? HUL are also looking to tap the market in rural sector‚ so they also taking into consideration the needs and wants of the people
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.16 RESEARCH ANALYSIS LIST OF STATISTICAL TECHNIQUES There are various sampling techniques available for market research‚ but we selected the following for our analysis: 1. Chi-square – It is useful in analysing cross tabulations of the survey data. Since it can tell us whether there is a statistical difference between the segments in how they answered the question 2. Correlation – It can show whether and how strongly pairs of variables are related; mostly used with rating scales. 3. Cross
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business
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SOCIOLOGICAL METHODS TYPES OF DATA Sociologists have two types of data available to them: information they have self-generated for their own research purposes (primary data)‚ and already existing data that was not specifically created for sociological purposes (secondary data). Primary data can result from‚ the employment of questionnaires‚ structured‚ semi-structured and unstructured interviews‚ and observation techniques. Secondary data is more or less‚ anything else: statistics produced
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1. Describe the management style at Rondell Data Corporation. Rondell Data Corporation is a fairly small company‚ employing roughly about 800 employees. This has been a steady increase since the company began in 1939. The current management style does not seem to be able to manage the volume and span of activities throughout the company. The management style of the company seems to be a functional structure. There are five levels of hierarchy in the organization chart. There are many levels of
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Qantas Data Book 2012 DISCLAIMER The information contained in this investor Data Book is intended to be a general summary of Qantas Airways Limited (Qantas/Qantas Group) and its activities as at 17 October 2012 or otherwise the date specified in the relevant information and does not purport to be complete in any respect. The information in this document is not advice about shares in Qantas (or any other financial product)‚ nor is it intended to influence‚ or be relied upon by‚ any person in
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Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared
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WEEK 1 WHAT ARE DATA STRUCTURES? WHAT ARE ALGORITHMS? REVIEW OF JAVA AND OOP ENCAPSULATION‚ INHERITANCE‚ POLYMORPHISM CLASSES METHOD INTERFACES DATA STRUCTURES In computer science‚ a data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications and some are highly specialized to certain tasks. For example‚ B-trees are particularly well-suited
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Question 1 What is a data warehouse? What problems does it solve for a business? A data warehouse is a place where data is stored for archival purpose‚ analysis purpose. Usually a data warehouse is either a single computer or many computers servers tied together to create one giant computer systems. Data warehouse solve a lot of problems to companies as it helps to structure files and avoid unnecessary duplication of data. Data warehouse also allows to easily updating data and encourages management
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