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    Data Protetion Act

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    effect of the Data Protection Act on e-marketing This guide is based on UK law. It was last updated in March 2008. Topics • Advertising and marketing • Commercial The law relating to data protection is designed to regulate organisations known as data controllers who collect and process information relating to living and identifiable individuals and to provide those individuals with rights in relation to such data. In the UK the position is currently governed by the Data Protection Act

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    Data Management Strategy

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    Data Management Strategy in Organizations Today Regardless of the size of an organization‚ proper data management is vital for innumerable reasons. Data is stored in various forms- computer‚ paper‚ or any form of electronic media. Some data can be obstructed after a certain period‚ but other data would be crucial for the operative management of a company. In other words‚ inadequate data management could contribute to the success or failure of an organization. Unfortunately many companies have

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    mmTASK 1 a) Explain the following types of data communication networks and their applications * Public switched telephone network (PSTN) * Local area networks (LANs) * Metropolitan area networks (MANs) * Wide area networks (WANs) * Packet switched data network (PSDN)‚ * Integrated services digital network (ISDN) Public switched telephone network (PSTN) Public Switched telephone network (PSTN) is the global collection of interconnects originally designed to

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    Data Flow Diagram

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    CIS3512/5197 Assignment 6 Pg 305 2. What is a data flow diagram? Why do systems analysts use data flow diagrams? Answers:  A picture of the movement of data between external entities and the processes and data stores within a system.  Systems analysts use DFDs to help in the analysis phase by accomplishing the following three things: 1. Requirements Determination 2. Requirements Structuring 3. Alternative Generation and Selection 3. Explain the rules for drawing good data flow diagrams. Answers: Process:

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    Data Warehouse and Crm

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    More than Data Warehouse- An insight to Customer Information Ritu Aggrawal – agg_ritu@rediffmail.com Deepshikha Kalra -deepshikha_ishan@yahoo.co.in working with MERI affiliated to GGSIPU‚ Delhi ABSTRACT The business requirements of an enterprise are constantly changing and the changes are coming at an exponential rate. Like advances in Information Technology have helped companies to quickly match competition. As a result‚ product quality and cost are no longer significant competitive

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    Managing Data Resources

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    Managing Data Resources Case: Better data help Virgin Mobile Australia win the customer wars Virgin mobile Australia is a major player in the Australian mobile industry. It had grown aggressively by pioneering new products and services‚ including a prepaid service that did not require a contract‚ free voice mail‚ and billing all calls by second. Other operators followed suit‚ leaving Virgin Mobile Australia wondering how it could maintain its competitive lead. The answer lay in making better

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    Introduction This report will give an overview of the aim behind collecting data‚ types of data collected‚ methods used and how the collection of the data supports the department’s practices. It will also give a brief outlook on the importance of legislation in recording‚ storing and accessing data. Why Organisations Need to Collect Data * To satisfy legal requirement: every few months there is some request from the government sector to gather‚ maintain and reports lots of information back

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    Primary and Secondary Data

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    1. PRIMARY ANDSECONDARY DATA We explore the availability and use of data (primary and secondary) in the field of business research.Specifically‚ we examine an international sample of doctoral dissertations since 1998‚ categorizingresearch topics‚ data collection‚ and availability of data. Findings suggest that use of only primarydata pervades the discipline‚ despite strong methodological reasons to augment with secondary data. INTRODUCTION Data can be defined as the quantitative or qualitative

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    Data Mining Fundamentals

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    Data Mining DM Defined Is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner Process of analyzing data from different perspectives and summarizing it into useful information A class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. DM Defined The relationships and summaries derived

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    Data Gathering Techniques

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    Data Gathering Techniques Data Gathering Techniques Interview • Interviews can be conducted in person or over the telephone. • Questions should be focused‚ clear‚ and encourage open-ended responses. • Interviews are mainly qualitative in nature. Data Gathering Techniques Advantages of interviews The main advantages of interviews are: • they are useful to obtain detailed information about personal feelings‚ perceptions and opinions • they allow more detailed questions to be asked • they usually

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