"Converting data into business value at volvo" Essays and Research Papers

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    Design and Data

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    to understand between data oriented and process oriented approaches to designing a new system. The system focus of the data views and process views are entirely different. The process view focuses on what the systems supposed to do and when‚ while the data view has a focus on what the system needs to operate. Another noteworthy difference that distinguishes the two views is the design stability. The design stability of a process view is a more limited approach because business processes and the applications

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    Big Data

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    Big DataData Mining and Business Intelligence Techniques 2 What is Data? • Data is information in a form suitable for use with a computer. • There are two types of data ▫ Structured ▫ Unstructured • The total volume of data is growing 59% every year. • The number of files grow at 88% every year. 3 What is Big Data? Exa Analytics on Big Data at Rest Up to 10‚000 Times larger Peta Data Scale Giga Data at Rest Tera Data Scale Mega Traditional Data Warehouse

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    Data Comms

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    starts here" and "Internet of Everything" advertising campaigns. These efforts were designed to position Cisco for the next ten years into a global leader in connecting the previously unconnected and facilitate the IP address connectivity of people‚ data‚ processes and things through cloud computing applications and services. Cisco’s current portfolio of products and services is focused upon three market segments—Enterprise and

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    Reckitt Benckiser maintain their business performance and value Introduction To be successful in the fast-paced world of household‚ health and personal care products‚ you have to think big. Reckitt Benckiser (RB) is a world leader in the making and marketing of household‚ consumer health care and personal products. With over 20 million products sold daily across almost 200 countries‚ RB is a global success story. RB came about as a result of a merger in 1999 between the German company Benckiser

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    Value Investing: Predicting Long-term Profitability Based on Fundamental Data An Empirical Study in the Manufacturing Industry by Vital Schwander (05-609-136) Master’s Thesis supervised by Prof. Dr. Andreas Grüner University of St.Gallen May 23‚ 2011 Master in Law & Economics Abstract Warren Buffett (1992) classifies the discussion about value and growth stocks as fuzzy thinking. With that statement‚ he argues that value investors must consider growth in their value calculations

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    Data Mining

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    In today’s business world‚ information about the customer is a necessity for a businesses trying to maximize its profits. A new‚ and important‚ tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships‚ once extracted‚ can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve

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    Data Mining

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    two indexes were selected (static and dynamic complexity index) and a Business Dynamic model was developed. This model was used with empirical data collected in a job shop manufacturing system in order to test the usefulness and validity of the dynamic complex index. The Business Dynamic model analyzed the trend of the index in function of different inputs in a selected work center. The results showed that the maximum value of the dynamic complexity index represents the so called “edge of chaos”

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    Data Encryption

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    its simplest terms‚ the translation of data into a secret code. In order to read an encrypted file‚ the receiver of the file must obtain a secret key that will enable him to decrypt the file. A deeper look into cryptography‚ cryptanalysis‚ and the Data Encryption Standard (DES) will provide a better understanding of data encryption. Cryptographic Methods There are two standard methods of cryptography‚ asymmetric encryption and symmetric encryption. Data that is in its original form (unscrambled)

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    Big Data

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    number of articles on “big data”. Examine the subject and discuss how it is relevant to companies like Tesco. Introduction to Big Data In 2012‚ the concept of ‘Big Data’ became widely debated issue as we now live in the information and Internet based era where everyday up to 2.5 Exabyte (=1 billion GB) of data were created‚ and the number is doubling every 40 months (Brynjolfsson & McAfee‚ 2012). According to a recent research from IBM (2012)‚ 90 percent of the data in the world has been

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    Economic Data

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    Assignment #2 EC1204 Economic Data Collection and Analysis Student No. 110393693 Part 1: Question 2 From analysing the Data on the Scatter Plot the relationship between the GDP and the Population of Great Britain from 1999-2009 appears to be a moderate positive correlation relationship. Both variables are increasing at a similar rate and following a similar pattern which would indicate this relationship. This relationship would tend to be a positive one as more people are available to the

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