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    Data Mining

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    university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource: Data about their customers

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    Data Collection

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    Data collection is any process of preparing and collecting data‚ for example‚ as part of a process improvement or similar project. The purpose of data collection is to obtain information to keep on record‚ to make decisions about important issues‚ or to pass information on to others. Data are primarily collected to provide information regarding a specific topic. Data collection usually takes place early on in an improvement project‚ and is often formalized through a data collection plan which often

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    Data Analysis

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    c. ratio scale d. interval scale 2. Data obtained from a nominal scale a. must be alphabetic b. can be either numeric or nonnumeric c. must be numeric d. must rank order the data 3. In a post office‚ the mailboxes are numbered from 1 to 4‚500. These numbers represent a. qualitative data b. quantitative data c. either qualitative or quantitative data d. since the numbers are sequential‚ the data is quantitative 4. A tabular summary of a set of data showing the fraction of the total number

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    Secondary Data

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    Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such

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    Data Masking

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    An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2

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    customers‚ leverage with suppliers & access to talent. 2. Customer Loyalty – No one tries harder for customers‚ understand customers better than anyone: Particularly the clubcard scheme‚ with Dunnhumby working with Tesco. They have efficiently collected data to be able to do things for individual groups of customers to grow their lifetime loyalty‚ so wanted to really understand their customers‚ fundamental to the business. Looked at it as a way of learning about how consumers shop & what they want from

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    Consumer Data

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    Handling Consumer Data Introduction When I visit my local Caltex Woolworths petrol station on “cheap fuel Wednesday” to cash in the 8c per litre credit that my Wife earned the previous Friday buying the groceries with our “Everyday Rewards” card‚ I did not‚ until researching this report‚ have any clue as to the contribution I was making to a database of frightening proportions and possibilities… nor that‚ when I also “decide” to pick up the on-sale‚ strategically-placed 600mL choc-milk‚ I am

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    Through our study of Salem Telephone Company (STC)‚ we’re going to analyze whether or not Salem Data Services (SDS) will be a profitable business to keep. We will do so by utilizing break even analysis. Before we can find our solution‚ we should discuss Salem Data Services’ (SDS) accounting report step by step. To begin‚ the various costs incurred to SDS should be grouped into either variable‚ or fixed. The only variable costs that have any relation to the total revenue hours listed from exhibit

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    Data Mining

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    business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help

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    Tri State Telephone Case Study Tri state telelephone Tri-State Telephone is a telecommunications company that provided the telecommunications of the residents of three US States. Currently customers of Tri-State Company pay a monthly flat rate for the service they used. Now the management of Tri-State wants to change the pricing system from monthly flat rate to a new pricing system. However‚ the customers are not in a position to accept the new pricing system.Hence‚ they do not allow the company

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