Question1 Quantitative data are measures of values or counts and are expressed as numbers (www.abs.gov.au). In other words‚ quantitative data are data about numeric variables (www.abs.gov.au). Four types of quantitative data are interval‚ nominal‚ ordinal and ratio. Firstly‚ interval scales are numeric scales in which we know not only the order‚ but also the exact differences between the values (www.mymarketresearchmethods.com). Other than that‚ interval data also sometimes called integer is measured
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various forms of organization; 4. Discuss the social and ethical issues in financial reporting; 5. Prepare financial statements in a form suitable for publication‚ using disclosure requirements and relevant legislation. Data collection and analysis The data accumulated was done through the mediums of both primary sources and secondary sources. A primary source is an original object or document - the raw material or first-hand information. They include the distribution of questionnaires‚ conducting
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Financial Services Data Management: Big Data Technology in Financial Services Big Data Technology in Financial Services Introduction: Big Data in Financial Services ....................................... 1 What is Driving Big Data Technology Adoption in Financial Services?3 Customer Insight ........................................................................... 3 Regulatory Environment ................................................................ 3 Explosive Data Growth ........
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Introduction Data management within Human Resources (HR) is essential as this can be used when organisations have to make decisions‚ contact employees and also satisfy legal requirements. Aims and Objectives The aim of this report is to show the importance of why organisations must collect HR data. The objectives are: * To identify two types of data organisations must collect and how this supports HR * To describe two methods of storing HR records and the benefits of each * To explain two
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the Data Mine by Gary Loveman The approach that Loveman used was highly effective outlining the importance of providing an exceptional customer service in today’s service industry through deep data mining. This article discussed 2 main points: * How Harrah’s Entertainment used information technologies to gather data about its customers and market effectively to them‚ in turn increasing their revenues in a competitive market. * How Harrah’s
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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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Electronic Data Interchange * Electronic data interchange (EDI) is the structured transmission of data between organizations by electronic means‚ which is used to transfer electronic documents or business data from one computer system to another computer system‚ i.e. from one trading partner to another trading partner without human intervention. It is more than mere e-mail; for instance‚ organizations might replace bills of lading and even cheques with appropriate EDI messages. It also refers
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Introduction Big Data is indeed a better idea. Every day‚ we create 2.5 quintillion bytes of data–so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: posts to social media sites‚ digital pictures and videos posted online‚ transaction records of online purchases‚ and from cell phone GPS signals to name a few. This data is big data. “Much like the scientific principle that we can’t observe a system without changing it‚ big data can’t
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Analyzing and Interpreting Data Team “A” Mona Anderson‚ Jeanine Camacho‚ Mary Hopkins QNT/351 April 25‚ 2013 John Carroll Analyzing and Interpreting Data Our team has collected‚ summarized‚ and interpreted data from the employee survey during the third and fourth weeks of investigation. Findings from the first survey reported that a second survey will be pre-tested before distribution to the employees to ensure effectiveness. The survey questions will be written differently or
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1. With necessary diagram explain about data warehouse development life cycle . Ans : Introduction to data warehouses. Data warehouse development lifecycle (Kimball’s approach) Q. 2. What is Metadata ? What is it’s uses in Data warehousing Archietechture ? Ans : In simple terms‚ meta data is information about data and is critical for not only the business user but also data warehouse administrators and developers. Without meta data‚ business users will be like tourists left
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