"Data commentary" Essays and Research Papers

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    Data Warehouse and Crm

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    More than Data Warehouse- An insight to Customer Information Ritu Aggrawal – agg_ritu@rediffmail.com Deepshikha Kalra -deepshikha_ishan@yahoo.co.in working with MERI affiliated to GGSIPU‚ Delhi ABSTRACT The business requirements of an enterprise are constantly changing and the changes are coming at an exponential rate. Like advances in Information Technology have helped companies to quickly match competition. As a result‚ product quality and cost are no longer significant competitive

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    Data Science and Prediction

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    http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business

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    Data Quality Processes

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    2 Analyze Information Environment 3 Assess Data Quality and data quality. The steps are shown in the figure and described in the box. 5 Identify Root Causes 6 Develop Improvement Plans 4 Assess Business Impact 7 Prevent Future Data Errors 9 Implement Controls 8 Correct Current Data Errors 10 Communicate Actions and Results The Ten Steps Process—Assessing‚ Improving‚ and Creating Information and Data Quality 1. Define Business Need and Approach— Define

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    do you mean by data communication? Ans: It is the exchange of data between two devices via some form of transmission medium such as wire cable. The communicating system must be part of a communication system made up of a combination of hardware and software. The effectiveness of a data communication system depends on three fundamental characteristics: delivery‚ accuracy and timeliness. 2. What is simplex? Ans: It is the mode of communication between two devices in which flow of data is unidirectional

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    Page 2 Data communications (Datacom) is the engineering Datacom) discipline concerned with the communication between devices. A network is a set of devices (often referred to as nodes) nodes) connected by communication links. links. A computer network is any set of computers or devices connected to each other via some form of transmission medium with the ability to exchange data. Here information is presented in a form which is agreed upon by the parties creating and using the data. A computer

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    Bureau is the leading source of quality data about the Nation’s people and economy. It collects‚ analyzes and disseminates such data through surveys‚ decennial data collection activities‚ Federal‚ state and local sources and many private organizations‚ to its citizens and private and public organizations alike. In the process‚ the Bureau collects a lot of personally identifiable information (PII) through these sources. Therefore‚ the protection of these data and systems for collecting and processing

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    Data Collection Method

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    the researcher used Quantitative data collection methods. Using qualitative data collection method‚ it rely on random sampling and structured data collection instruments that fit diverse experiences into predetermined response categories. They produce results that are easy to summarize‚ compare‚ and generalize. Quantitative research is concerned with testing hypotheses derived from theory and/or being able to estimate the size of a phenomenon of interest. Depending on the research question‚ participants

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    without the network planning and configuration of the Data-Warehouse‚ Data-Mart and Data-Mining. The relational database series of logically related two-dimensional tables or files to store information in the form of a database. The files that Wal-Mart will create for an online ordering would be order would be Order Number‚ Order Date‚ Customer Number‚ Delivery Address‚ and Amount Ordered. Employee files would also have unique data‚ Employee Number‚ Data of Hire‚ Employee Name‚ (first and last). Regular

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    Managing Data Resources

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    Managing Data Resources Case: Better data help Virgin Mobile Australia win the customer wars Virgin mobile Australia is a major player in the Australian mobile industry. It had grown aggressively by pioneering new products and services‚ including a prepaid service that did not require a contract‚ free voice mail‚ and billing all calls by second. Other operators followed suit‚ leaving Virgin Mobile Australia wondering how it could maintain its competitive lead. The answer lay in making better

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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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