DATA FLOW DIAGRAM Group#7 Nugao Oserin Obongen The Data Flow Diagram (DFD) • a graphical representation of the flow of data through an information system. It enables you to represent the processes in your information system from the viewpoint of data. The DFD lets you visualize how the system operates‚ what the system accomplishes and how it will be implemented‚ when it is refined with further specification. • Data flow diagrams are used by systems analysts to design information-processing systems
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Figure 3.0: First Entry Level Data Flow Diagram of Administrator’s Capabilities The figure 3.0 represents the First Entry Level Data Flow Diagram of the Administrator upon successfully logging-in into the Generic Academic Performance Monitoring System. He/she has the capabilities to manage modules such as handling member’s account‚ importing students list‚ creation of grade criteria‚ grade computation and updating website contents Figure 3.1: Second Entry Level Data Flow Diagram on Managing Account
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Assignment 6 Pg 305 2. What is a data flow diagram? Why do systems analysts use data flow diagrams? Answers: A picture of the movement of data between external entities and the processes and data stores within a system. Systems analysts use DFDs to help in the analysis phase by accomplishing the following three things: 1. Requirements Determination 2. Requirements Structuring 3. Alternative Generation and Selection 3. Explain the rules for drawing good data flow diagrams. Answers: Process: A
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12/8/2012 Major Topics Chapter 9 Using Data Flow Diagrams Data flow diagram symbols Data flow diagram levels Creating data flow diagrams Physical and logical data flow diagrams Partitioning Event driven modeling Use case and data flow diagrams Systems Analysis and Design Kendall and Kendall Fifth Edition Kendall & Kendall Using Data Flow Diagrams Unexploded data flow diagrams are useful to identify information requirements Exploded data flow diagrams can be used for presentation
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regulations that govern how data is to be transmitted across a network. It defines the regulations regarding software as well as hardware. To enable two/more devices to communicate‚ they must follow the same protocol - an agreed format for transmission of data between devices. The protocol determines things such as: Type of error checking to be used‚ data compression methods‚ etc. Packet A network packet is the fundamental component of transmitting data over a network. All data being transferred is
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Building Data Mining Applications for CRM Introduction This overview provides a description of some of the most common data mining algorithms in use today. We have broken the discussion into two sections‚ each with a specific theme: • Classical Techniques: Statistics‚ Neighborhoods and Clustering • Next Generation Techniques: Trees‚ Networks and Rules Each section will describe a number of data mining algorithms at a high level‚ focusing on the "big picture" so that the reader will
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BSA/310 Analytics of Data Analytics of data allows you to inspect big data‚ to uncover pattern and other information‚ which can be transformed into useful information to help decision making easier. You can approach data analytics though multiple avenues by using different diverse techniques. The analytics of data is relevance to this week’s assignment‚ because for the past few weeks our team has collected and store data on Riordan Manufacturing‚ we now need to analyze the data. We have been tasked
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3. DATA MINING TECHNIQUES 3.1 NECESSITY OF DATA MINIING DATA Data is numbers or text which is a statement of a fact. It is unprocessed and stored in database for further analysis. Operational and transaction data such as cost and sales‚ is essential to modern enterprise’s internal environment. Non-operational data such as competitors’ sales and forecasting data‚ is responsible for analysis of external environment. INFORMATION Information is generated through data mining so that it becomes
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Data Security and Leakage Preventive Solutions Darshana Esajenith Samaranayake Student ID: 110390 Wilmington University Abstract Many companies keep sensitive personal information about customers or employees in their files or on their network. Those information move fast through the systems and make easier for organizations to provide efficient and effect full service to the customers. Security of the information is one of the most concern aspects in information systems as it has become
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Global Data Analytics Outsourcing Market 2014-2018 Organizations have a tremendous amount of data in departments such as HR‚ procurement‚ production‚ or sales and marketing. Data analysis is required to use these data efficiently. The data analytics allows enterprises to gain insights in several fields‚ for instance‚ consumer insights‚ which is how customers behave‚ and other market-related insights. Data analytics outsourcing is the process in which organizations employ service providers to perform
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