N O V E M B E R 2 0 11 1 Inside P&G’s digital revolution CEO Robert McDonald wants to make the consumer goods giant the world’s most technologically enabled company. Here’s how. Robert McDonald is a CEO on a mission: to make Procter & Gamble the most technologically enabled business in the world. To get there, the 31-year company veteran and former US Army captain is overseeing the large-scale application of digital technology and advanced analytics across every aspect of P&G’s operations
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Journal of Data Science 2(2004), 231-244 Estimating Vehicle Speed from Traffic Count and Occupancy Data Martin L. Hazelton University of Western Australia Abstract: Automatic vehicle detectors are now common on road systems across the world. Many of these detectors are based on single inductive loops, from which data on traffic volumes (i.e. vehicle counts) and occupancy (i.e. proportion of time during which the loop is occupied) are available for 20 or 30 second observational periods. However
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Lab 1 HIPPA IT Asset Description | Seven Domains of typical IT | Privacy Data Impact | Assessment | Critical- Major-Minor | | ASA_5505 | LAN-WAN | Authentication | Major | ASA_Instructor | LAN-WAN | Authentication | Major | ASA_Student | LAN-WAN | Authentication | Major | Cisco_2811 | WAN | Packets | Major | Workstations | Workstations | Identification | Minor | LAN Switch 1 | LAN | FTP | Minor | LAN Switch 2 | LAN | FTP | Minor | Norfolk | WAN | Packets | Critical | Tampa
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Contents 1. Introduction 2. Mobile Phone Plan Analysis A. Summary B. Spreadsheet Table C. Chart Graph 3. Mobile User Analysis (Including Table, Chart, and Analysis for each) A. Smith B. Mitchell C. Pia D. Cheng 4. Using Data and Charts to Represent Data 1. Introduction This research paper analyzes and compares twelve mobile plans from four companies by using spreadsheets and charts. Four customers' preferences will also be studied in order to come up with suitable plans for each of them.
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Maurice S. Butler Math533—Applied Managerial Statistics Course Project: Part A Introduction This project is based upon statistical data compiled concerning AJ Davis Department Stores, specific to a sample of its customer base. It is with intent of establishing relationship between location, gross income, and credit balances carried by customers that the following statistical analysis has been performed. It is assumed that information obtained as well as the interpretation of statistical analysis
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Tags | Field | Data | 020 | ISBN | | 022 | ISSN | | 050 | Call Number | | 100 | Main Entry (Personal Name) | | 110 | Main Entry (Corporate Name) | | 245 | Title and Statement of Responsibility | Apple Computer's Neil Buchanan, Neill Dixon, Mario DeSilva and David Leonard, President of Trebas Institute. | 250 | Edition | | 260 | Publisher and Place of Publication | Canada: [between 1969-2000] | 300 | Physical Description | 1 photograph : b&w gelatin silver print ; 12.5
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without data, information and knowledge. Data, information and knowledge are different from one another, yet there are interrelated to each other. Data Data are unprocessed raw facts which can be either qualified and or quantified. It explains phenomenal refer to statistical observations and other recordings or collections of evidence (Chaim Zins, 2007, p.480). Data can be in numbers or text. For example, temperature currency, gender, age, body weight. Figure 1, is example of data recorded
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qualitative methods. in this study data is the facts which the researcher gets from the environment . data may take numerical or non-numeric forms of information and evidence that have been carefully gathered according to sets of rules and established procedures. so for this research source of data we will use primary data as the source for the study in order to obtain the result. the research design data collection according to uma sekaran (1992) , data can be collect in a variety of
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gathering, organising, analysing and presenting quantitative data. ‘Data’ is the term for facts that have been obtained and subsequently recorded, and, for statisticians, ‘data’ usually refers to quantitative data that are numbers In very broad terms, statistics can be divided into two branches – descriptive and inferential statistics. 1. Descriptive statistics is concerned with quantitative data and the methods for describing them. (‘Data’ (facts) is the plural of ‘datum’ (a fact), and therefore
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software. The data provided by these tools assist management by making it straightforward and easy to access the information. Linking separate processes, the examination of instrumental job responsibilities, and the relations to the progress of work are achievable. As the transformation of the company’s business practices become essential after monitoring, updating the risk and controls becomes necessary also. The other tools useful to the company are real-time compliance and data mining. Real-time
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