Data Collection: Data collection is the heart of any research. No study is complete without the data collection. This research also includes data collection and was done differently for different type of data. TYPES OF DATA Primary Data: For the purpose of collecting maximum primary data‚ a structured questionnaire was used wherein questions pertaining to the satisfaction level of the customer about pantaloons product(apparel)‚ the quality‚ color‚ variety of products‚ the availability of different
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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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Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific
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Nt2580: Unit 6 Quantitative and Qualitative Risk Assessment Analysis NT2580: Unit 6 Quantitative and Qualitative Risk Assessment Analysis Qualitative Risk Assessment Single loss expectancy (SLE) : Total loss expected from a single incident Annual rate of occurrence (ARO): Number of times an incident is expected to occur in a year Annual loss expectancy (ALE): Expected loss for a year ALE = SLE X ARO Safeguard value: Cost of a safeguard or control Scenario: Richman Investments provides
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survey‚ local organisations will be asked to take part in a survey asking questions about customer preferences and competitors. I will be analysing marketing mix elements which will help take away risky decision making by providing information about data collated through qualitative research. This will help build a good client base and identify business needs‚ requirements and services. I have included an explanation into how the research was carried out‚ by clearly explaining what types of questions
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management is. Risk management is used to ensure that the appropriate measures are taken to ensure the protection of people‚ the environment and important assets. Events that could cause harm are either man-made or natural. One thing to be done is a Quantitative Risk Assessment (QRA) which is a tool that can help with measures to help avoid the instances of hazards/threats or if unavoidable‚ reduces
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Data Mining Assignment 4 Shauna N. Hines Dr. Progress Mtshali Info Syst Decision-Making December 7‚ 2012 Benefits of Data Mining Data mining is defined as “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine-learning techniques to extract and identify useful information and subsequent knowledge from large databases‚ including data warehouses” (Turban & Volonino‚ 2011). The information identified using data mining includes patterns indicating trends‚ correlations
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Goal 2: To establish a fundamental knowledge about how hospital nurses use and care for their hospital scrubs For the analysis of the focus group interview‚ qualitative research method of data analysis will be predominantly used to examine twofold: (1) the participants’ knowledge‚ opinions‚ and experiences with the currently existing nurses scrubs how they care for; (2) the new prototype how much establish the goals pointed out about the present scrubs‚ indicating that the questions about ‘outcomes’
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.......................................................... 2 1.4 Assumption .......................................................................................................................... 2 2. Online Shopping System Requirement Analysis..................................................................... 2 2.1 Requirement Definition ....................................................................................................... 2 2.2.1 Functional Requirement ..........
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Mohammed Al Bittar - 1006091 1. What is meant by big data? A term used for complex sets of data which becomes very difficult to process‚ manage‚ or capture by commonly-used software. 2. What is meaning of data-driven culture? A culture where decisions made upon analyzing real statistical information. Like how Wal-Mart checks on the weather in order to provide more products to the customers; because their statistical information shows that whenever there is a storm‚ customers by
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