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Transactional information |
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Encompasses all of the information contained within a single business process or unit of work, and its primary purpose is to support the performing of daily operational tasks |
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Encompasses all organizational information, and its primary purpose is to support the performing of managerial analysis tasks |
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Timeliness is an aspect of information that depends on the situation |
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Immediate, upto-date information |
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Provides real-time information in response to requests |
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Characteristics of High-quality Information |
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Accurate, Complete, Consistent, Unique, Timely |
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Potential business effects resulting from low quality information include |
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• Inability to accurately track customers • Difficulty identifying valuable customers • Inability to identify selling opportunities • Marketing to nonexistent customers • Difficulty tracking revenue • Inability to build strong customer relationships |
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maintains information about various types of objects (inventory), events (transactions), people (employees), and places (warehouses) |
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Database management systems (DBMS) |
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Allows users to create, read, update, and delete data in a relational database |
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The smallest or basic unit of information |
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Logical data structures that detail the relationships among data elements using graphics or pictures |
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Compiles all of the metadata about the data elements in the data model |
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A person, place, thing, transaction, or event about which information is stored • The rows in a table contain entities |
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Attribute (field, column) |
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The data elements associated with an entity • The columns in each table contain the attributes |
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A collection of related data elements |
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A field (or group of fields) that uniquely identifies a given entity in a table |
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A primary key of one table that appears an attribute in another table and acts to provide a logical relationship among the two tables |
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Deals with the physical storage of information on a storage device • Have multiple logical views |
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Focuses on how individual users logically access information to meet their own particular business needs |
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Refers to how well a system can adapt to increased demands |
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Measures how quickly a system performs a certain process or transaction |
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The duplication of data or storing the same information in multiple places |
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measures the quality of information |
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rules that help ensure the quality of information |
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Provides authentication of the user |
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Determines who has access to the different types of information |
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Determines types of user access, such as read-only access |
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An interactive website kept constantly updated and relevant to the needs of its customers using a database |
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Allows separate systems to communicate directly with each other, eliminating the need for manual entry into multiple systems |
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Provide enterprise wide support and data access for a firm’s operations and business processes |
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Enterprise application integration (EAI) |
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Connects the plans, methods, and tools aimed at integrating separate enterprise systems |
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Several different types of software that sit between and provide connectivity for two or more software applications |
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Enterprise application integration middleware |
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Takes a new approach to middleware by packaging commonly used applications together, reducing the time needed to integrate applications from multiple vendors |
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A logical collection of information – gathered from many different operational databases – that supports business analysis activities and decision-making tasks |
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Extraction, transformation, and loading (ETL) |
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A process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse |
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Contains a subset of data warehouse information |
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Information cleansing or scrubbing |
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A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information |
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BI enables business users to receive data for analysis that is: |
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• Reliable • Consistent • Understandable • Easily manipulated |
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A collection of large, complex data sets, including structured and unstructured data, which cannot be analyzed using traditional database methods and tools and includes the following four common characteristics: • Variety • Veracity • Volume • Velocity |
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processes and manages algorithms across many machines in a computing environment |
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Creation of a virtual version of computing resources, such as an operating system, a server, a storage device, or network resource |
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The process of analyzing data to extract information not offered by the raw data alone |
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use a variety of techniques to find patterns and relationships in large volumes of information |
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• Classification • Estimation • Affinity grouping • Clustering |
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Data mining prediction analysis methods |
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• Optimization • Forecasting • Regression |
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A particular attribute of information |
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Common term for the representation of multidimensional information |
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Operational decision making |
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Employees develop, control, and maintain core business activities required to run the day-to-day operations |
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Situations where established processes offer potential solutions |
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Managerial decision making |
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Employees evaluate company operations to identify, adapt to, and leverage change |
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Occur in situations in which a few established processes help to evaluate potential solutions, but not enough to lead to a definite recommended decision |
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Strategic decision making |
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Managers develop overall strategies, goals, and objectives |
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Occurs in situations in which no procedures or rules exist to guide decision makers toward the correct choice |
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A simplified representation or abstraction of reality |
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Calculate risks Understand uncertainty Change variables Manipulate time to make decisions |
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Transaction processing system (TPS) |
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Basic business system that serves the operational level and assists in making structured decisions |
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Online transaction processing (OLTP) |
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Capturing of transaction and event information using technology to process, store, and update |
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The original transaction record |
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Online analytical processing (OLAP) |
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Manipulation of information to create business intelligence in support of strategic decision making |
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Decision support system (DSS) |
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Models information to support managers and business professionals during the decision-making process |
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Four quantitative models used by DSSs include |
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What-if analysis Sensitivity analysis Goal-seeking analysis Optimization analysis |
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Executive information system (EIS) |
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A specialized DSS that supports senior level executives within the organization Granularity Visualization Digital dashboard |
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Most EISs offering the following capabilities |
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Consolidation Drill-down Slice-and-dice Pivot |
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Artificial intelligence (AI) |
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Simulates human intelligence such as the ability to reason and learn |
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Various commercial applications of artificial intelligence |
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Five most common categories of AI |
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Expert system, Neural Network, Genetic algorithm, Intelligent agent, Virtual reality |
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Computerized advisory programs that imitate the reasoning processes of experts in solving difficult problems |
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Attempts to emulate the way the human brain works |
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A mathematical method of handling imprecise or subjective information |
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An artificial intelligent system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem |
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Software that will search several retailer websites and provide a comparison of each retailer’s offerings including price and availability |
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Special-purpose knowledge-based information system that accomplishes specific tasks on behalf of its users |
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A computer-simulated environment that can be a simulation of the real world or an imaginary world |
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Customer relationship management (CRM) |
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Involves managing all aspects of a customer’s relationship with an organization to increase customer loyalty and retention and an organization's profitability |
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Supports traditional transactional processing for day-to-day front-office operations or systems that deal directly with the customers |
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Supports back-office operations and strategic analysis and includes all systems that do not deal directly with the customers |
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Marketing and operational CRM technology |
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List generator, campaign management, cross-selling and up-selling |
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Sales and operational CRM technology |
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Sales management, contact management, opportunity management |
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Customer service and operational CRM technology |
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Contact center, Web-based self-service, call scripting |
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Three marketing operational CRM technologies |
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List generator Campaign management system Cross-selling and up-selling |
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a system that automatically tracks all of the steps in the sales process |
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Sales and operational CRM technologies |
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Sales management CRM system Contact management CRM system Opportunity management CRM system |
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Three customer service operational CRM technologies |
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Contact center (call center) Web-based self-service system Call scripting system |
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Common features included in contact centers |
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Automatic call distribution Interactive voice response Predictive dialing |
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Occurs when a website has stored enough data about a person’s likes and dislikes to fashion offers more likely to appeal to that person |
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