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    Data Warehousing Failures

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    Data Warehousing Failures Eight studies of data warehousing failures are presented. They were written based on interviews with people who were associated with the projects. The extent of the failure varies with the organization‚ but in all cases‚ the project was at least a disappointment. Read the cases and prepare a one or two page discussion of the following: 1. What’s the scope of what can be considered a data warehousing failure? Discuss. 2. What generalizations apply across

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    Qualitative Data

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    READING QUESTIONS DAY ANSWERS 1. Which of the following reading components do you find the easiest and the most difficult? Vocabulary Sentence/Syntax Getting the main idea Comprehension Others:_______________ Easiest: _____________ Difficult: _______________ EASIEST COMPONENTS: Vocabulary - 3 Sentence/Syntax - 11 Getting the main idea - 16 Comprehension - 1 DIFFICULT COMPONENTS: Vocabulary - 5 Sentence/Syntax - 9 Getting the main idea - 5 Comprehension – 11 2. Why do you

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    Data Interpretion

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    MEAN SCORE Descriptive Statistics N Mean Std.Deviation Discount 196 1.38 .672 Gift Coupon 196 1.47 .603 Free tour 196 1.91 .929 Cash back 196 1.44 .634 Price 196 1.54 .753 Quality 196 1.44 .592 Quantity 196 1.58 .715 Varity 196 1.68 .609 Brand 196 1.66 .641 Durability 196 1.94 .732 Availability 196 2.04 .902 Promotion Scheme 196 2.24 .944 Advertisement 196 2.10 .871 Promotional scheme of Berger paint is very attractive. 196 1.99 .791

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    Integrated Marketing Communications Client: HTC x Microsoft HTC HTC takes pride in their contribution to the growth and capabilities of smartphone technology‚ having invested in a team of highly talented Research & Development (R&D) professionals and pioneering many state-of-the-art innovations and world-class designs for smart-phones. “HTC ’s mission is to become the leading innovative supplier of mobile information and communication devices by providing value-added design‚ world-class manufacturing

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    Integrated Marketing Communication (IMC) Template IMC situation analysis Summarise issues arising from the marketing plan that will directly impact on the communications strategy. Company analysis !" !" !" !" Company mission. Corporate goals. Issues related to an overriding corporate brand (if one exists). Budget for the IMC. Product analysis !" !" A summary of key product offerings and product life cycle issues. Existing brand themes‚ messages and appeals. Audience analysis !" !"

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    with innovative idea of how to do business that in a few years changed the vision about the process of drinking coffee not only in USA but worldwide. Starbucks has evolved into a great success due to their implementation of Integrated Marketing Communications. What is integrated marketing communication? For many‚ IMC is concerned with the harmonization of customer oriented promotional messages. Duncan and Everett (1993) suggest IMC has been referred variously as orchestration‚ whole egg and seamless

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    Erp Data Warehouse

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    IST/ERP 444 Data Warehouse Homework 1: Definition of Data Warehousing Name: Rallapalli Venkata Pavani Search any resource (Books‚ Web Sites‚ Papers‚ etc.) to find three definitions for Data Warehousing. Include the detailed information (Title‚ authors and the source of the definitions. For example: “Data warehousing is a collection of decision support technologies‚ aimed at enabling the knowledge worker (executive‚ manager‚ analyst) to make better and faster decisions.”

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    Distinguish between primary data and secondary data? Primary data is the data that is collected first hand from the original source for the purpose of making statistical inference while secondary data is the data that is collected by the method of abstraction and is used to make statistical inference by using primary data already collected by an investigator. Primary data is collected by  Identifying population of interest  choosing sample  analyse sample information  draw inference from

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    5.3.3 Data cleaning Data cleaning helps to remove all unnecessary data. Data cleaning attempts to fill in missing values‚ smooth out noise while identifying outliers and correct inconsistencies in the data. Data cleaning is usually an iterative two-step process consisting of discrepancy detection and data transformation. 5.3.4 Data analysis Data analysis is also known as analysis of data or data analytics‚ is a process of inspecting‚ cleansing‚ transforming and modeling data with the goal of discovering

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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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