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 PROTECTION ACT 1998 GUIDANCE TO SOCIAL SERVICES March 2000 CONTENTS Section 1 Section 2 Section 3 Introduction Glossary of terms Good practice in record keeping Principles underpinning good practice A policy framework Retention and destruction of records Records subject to statutory requirements Management commitment to good practice 4 8 14 14 15 16 17 17 Contents page 1 Section 4 Details of the Act and its implementation Access to social services records Personal
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Activity 1 Report on Data Management Contents Page Title Page(s) Introduction 4 Why Collect HR Data 4 Types of HR Data and how it supports HR 4 Data Storage and its Benefits 5 Essential UK legislations relating to recording‚ storing and accessing HR data 5-6 Conclusion 6 Reference List 7 Introduction HR data would need to be stored by all organisations due to either legal requirements or internal purposes. This report will uncover
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ChoicePoint Data Breach Brandon Harvey CSIA 301-7381 August 8‚ 2012 Professor Abraham Bloom Abstract The ChoicePoint data breach occurred in 2005. This insider data breach brought to light how a company can still be vulnerable to having data stolen from its databases even without any type of hacking of their system. By not properly vetting request for new accounts and request for information led to the theft of over a hundred thousand records of people’s personal information. ChoicePoint Data Breach
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Basic Business Statistics 11th Edition Chapter 1 Introduction and Data Collection Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc. Chap 1-1 Learning Objectives In this chapter you learn: How Statistics is used in business The sources of data used in business The types of data used in business The basics of Microsoft Excel The basics of Minitab Basic Business Statistics‚ 11e © 2009 Prentice-Hall‚ Inc.. Chap 1-2 Why Learn Statistics? So you are
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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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students in a class were each asked to write down how many CDs they owned. The student with the least number of CDs had 14 and all but one of the others owned 60 or fewer. The remaining student owned 65. The quartiles for the class were 30‚ 34 and 42 respectively. Outliers are defined to be any values outside the limits of 1.5(Q3 – Q1) below the lower quartile or above the upper quartile. On graph paper draw a box plot to represent these data‚ indicating clearly any outliers.
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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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CRS Web Data Mining: An Overview Updated December 16‚ 2004 Jeffrey W. Seifert Analyst in Information Science and Technology Policy Resources‚ Science‚ and Industry Division Congressional Research Service ˜ The Library of Congress Data Mining: An Overview Summary Data mining is emerging as one of the key features of many homeland security initiatives. Often used as a means for detecting fraud‚ assessing risk‚ and product retailing‚ data mining involves the use of data analysis tools
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DATA LEAKAGE DETECTION . Abstract - If a distributor has given sensitive data to a set of supposedly trusted agents (third parties) and if some of the data is leaked and found in an unauthorized place‚ the distributor must assess the likelihood that the leaked data came from one or more agents‚ as opposed to having been independently gathered by other means. The techniques used improves the probability of identifying leakages and finding guilty agent. These methods do not
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