Paper Creating a Data Warehouse Introduction Data warehouses are the latest buzz in the business world. Not only are they used to store data for reporting and forecasting‚ but they are part of a decision support system. There are many reasons for creating and using a data warehouse. The data warehouse will support the decisions a business needs to make‚ usually on a daily basis. The data warehouse collects data‚ consolidates the data for reporting purposes. Data warehouses are accompanied
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CRIME DATA COMPARISON Crime Data Comparison Paper By Juanidel Cubero In this paper I will compare the robbery rate between two metropolitan cities which are Dallas Texas and San Diego California using the preliminary annual Uniform Crime Report (UCR) generated by the Federal Bureau of investigation (FBI) from January to December 2008. The Uniform Crime Reporting Program (UCR) defines robbery as the taking or attempting to take anything of value from the care‚ custody‚ or control of a
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Data Dictionary: A software module and database containing descriptions and definitions concerning the structure‚ data elements‚interrelationships‚ and other characteristics of an organization’s databases. Data Mining: A process where data in a data warehouse is identified to discover key business trends and factors. Data Modeling: A process where the relationships between data elements are identified and defined to develop data models. Data Planning: A planning and analysis function
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Using Data Flow Diagrams Data flow diagram is used by system analyst to put together a graphical representation of data processes throughout the organization. It depicts the broadest possible overview of system inputs‚ processes‚ and outputs. A series of layered data flow diagrams may be used to represent and analyze detailed procedures in the larger system. By using combinations of only four symbols‚ the system analyst can create a pictorial depiction of processes that will eventually provide
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1. PRIMARY ANDSECONDARY DATA We explore the availability and use of data (primary and secondary) in the field of business research.Specifically‚ we examine an international sample of doctoral dissertations since 1998‚ categorizingresearch topics‚ data collection‚ and availability of data. Findings suggest that use of only primarydata pervades the discipline‚ despite strong methodological reasons to augment with secondary data. INTRODUCTION Data can be defined as the quantitative or qualitative
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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The Enterprise Data Model Introduction An Enterprise Data Model is an integrated view of the data produced and consumed across an entire organization. It incorporates an appropriate industry perspective. An Enterprise Data Model (EDM) represents a single integrated definition of data‚ unbiased of any system or application. It is independent of "how" the data is physically sourced‚ stored‚ processed or accessed. The model unites‚ formalizes and represents the things important to an organization
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The Big Data Challenges Lamin A Tunkara CIS 500 – Information Systems for Decision Making Dr. Edwin OTTO July 16‚ 2013 Abstract The paper explores the challenges of big data and the strategies deployed by Volvo Car Corporation in instituting an information technology infrastructural tool that helped the company tap into its massive data‚ bank to extract information for meaningful process improvements. The paper culled information from Dumbill (2012) who in an article
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DATA LEAKAGE DETECTION . Abstract - If a distributor has given sensitive data to a set of supposedly trusted agents (third parties) and if some of the data is leaked and found in an unauthorized place‚ the distributor must assess the likelihood that the leaked data came from one or more agents‚ as opposed to having been independently gathered by other means. The techniques used improves the probability of identifying leakages and finding guilty agent. These methods do not
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Lecture 1 1.1 INTRODUCTION Data structure is the branch of computer science that unleashes the knowledge of how the data should be organized‚ how the flow of data should be controlled and how a data structure should be designed and implemented to reduce the complexity and increase the efficiency of the algorithm. The theory of structures not only introduces the data structures‚ but also helps to understand and use the concept of abstraction‚ analyze problems step by step and develop algorithms to
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