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C724
Information systems management study guide glossary
| Question | Answer |
|---|---|
| Data mining is extracting patterns from large datasets using statistical algorithms, machine learning, and other methods. Data mining is useful for uncovering trends, correlations, and insights that may not be evident through standard analysis. | Data mining is extracting patterns from large datasets using statistical algorithms, machine learning, and other methods. Data mining is useful for uncovering trends, correlations, and insights that may not be evident through standard analysis. |
| Data analytics is analyzing raw data to find results and support decision-making. Organizations use descriptive analytics to understand past trends, predictive analytics to forecast future trends, and prescriptive analytics to recommend actions. | Data analytics is analyzing raw data to find results and support decision-making. Organizations use descriptive analytics to understand past trends, predictive analytics to forecast future trends, and prescriptive analytics to recommend actions. |
| Predictive analytics use statistical analysis, data mining tech, historical data, and assumptions about future conditions to predict trends and behavior patterns. Organizations use predictive analytics to predict response to marketing campaigns and sales. | Predictive analytics use statistical analysis, data mining tech, historical data, and assumptions about future conditions to predict trends and behavior patterns. Organizations use predictive analytics to predict response to marketing campaigns and sales. |
| Reporting tools are used to generate regular reports to present insights in a structured format. Reporting tools include dashboards, visualizations, and scorecards that represent data in an easily digestible way. | Reporting tools are used to generate regular reports to present insights in a structured format. Reporting tools include dashboards, visualizations, and scorecards that represent data in an easily digestible way. |
| Market research is gathering information about competitors, market trends, customer preferences, and other external factors. Market research includes surveys, interviews, focus groups, and competitive analysis. | Market research is gathering information about competitors, market trends, customer preferences, and other external factors. Market research includes surveys, interviews, focus groups, and competitive analysis. |
| Social media analytics allows organizations to monitor social media channels for public opinions and feedback, which is useful for understanding customer sentiment, brand perception, and emerging trends. | Social media analytics allows organizations to monitor social media channels for public opinions and feedback, which is useful for understanding customer sentiment, brand perception, and emerging trends. |
| Customer relationship management (CRM) analyzes data from CRM systems to understand customer behaviors, preferences, and engagement. CRM enhances personalization, customer service, and targeting. | Customer relationship management (CRM) analyzes data from CRM systems to understand customer behaviors, preferences, and engagement. CRM enhances personalization, customer service, and targeting. |
| Geospatial intelligence analyzes geographic and location-based data, which is useful for market segmentation, route optimization, and location-specific decision-making. | Geospatial intelligence analyzes geographic and location-based data, which is useful for market segmentation, route optimization, and location-specific decision-making. |
| Benchmarking is comparing key performance metrics with industry standards or competitors. This helps organizations identify strengths, weaknesses, opportunities, and areas for improvement. | Benchmarking is comparing key performance metrics with industry standards or competitors. This helps organizations identify strengths, weaknesses, opportunities, and areas for improvement. |
| Text analytics reviews unstructured textual data from documents, emails, and websites and is used to extract information, understand context, and derive insights. | Text analytics reviews unstructured textual data from documents, emails, and websites and is used to extract information, understand context, and derive insights. |
| Sensor and Internet of Things (IoT) analytics involves analyzing data from sensors and IoT devices to support real-time monitoring, predictive maintenance, and operational insights. | Sensor and Internet of Things (IoT) analytics involves analyzing data from sensors and IoT devices to support real-time monitoring, predictive maintenance, and operational insights. |
| E-commerce uses internet and web techn to create a digital marketplace to buy and sell goods, services, and digital products. broaden their product and service range and equips them with ess tools for ads, mktg, CS, security, delivery, and payments. | E-commerce uses internet and web techn to create a digital marketplace to buy and sell goods, services, and digital products. broaden their product and service range and equips them with ess tools for ads, mktg, CS, security, delivery, and payments. |
| e-commerce is segmented into three primary categories: business-to-consumer (B2C), business-to-business (B2B), and consumer-to-consumer (C2C). | e-commerce is segmented into three primary categories: business-to-consumer (B2C), business-to-business (B2B), and consumer-to-consumer (C2C). |
| Portal serves as a gateway to the web. | Portal serves as a gateway to the web. |
| Transaction broker focuses on processing transactions for consumers. | Transaction broker focuses on processing transactions for consumers. |
| Market creator provides a platform to connect sellers and buyers. | Market creator provides a platform to connect sellers and buyers. |
| Service provider offers services online. | Service provider offers services online. |
| hubs Very simple devices that connect network components, sending a packet of data to all other connected devices. | hubs Very simple devices that connect network components, sending a packet of data to all other connected devices. |
| router Specialized communications processor that forwards packets of data from one network to another network. | router Specialized communications processor that forwards packets of data from one network to another network. |
| sentiment analysis Mining text comments in an email message, blog, social media conversation, or survey form to detect favorable and unfavorable opinions about specific subjects. | sentiment analysis Mining text comments in an email message, blog, social media conversation, or survey form to detect favorable and unfavorable opinions about specific subjects. |
| switch Device to connect network components that has more intelligence than a hub and can filter and forward data to a specified destination. | switch Device to connect network components that has more intelligence than a hub and can filter and forward data to a specified destination. |
| broadband High-speed transmission technology. Also designates a single communications medium that can transmit multiple channels of data simultaneously. | broadband High-speed transmission technology. Also designates a single communications medium that can transmit multiple channels of data simultaneously. |
| client/server computing A model for computing that splits processing between clients and servers on a network, assigning functions to the machine most able to perform the function. | client/server computing A model for computing that splits processing between clients and servers on a network, assigning functions to the machine most able to perform the function. |
| client/server computing A model for computing that splits processing between clients and servers on a network, assigning functions to the machine most able to perform the function. | client/server computing A model for computing that splits processing between clients and servers on a network, assigning functions to the machine most able to perform the function. |
| data cleansing Activities for detecting and correcting data in a database or file that are incorrect, incomplete, improperly formatted, or redundant. Also known as data scrubbing. | data cleansing Activities for detecting and correcting data in a database or file that are incorrect, incomplete, improperly formatted, or redundant. Also known as data scrubbing. |
| data governance Policies and processes for managing the availability, usability, integrity, and security of the firm’s data. | data governance Policies and processes for managing the availability, usability, integrity, and security of the firm’s data. |
| data inconsistency The presence of different values for same attribute when the same data are stored in multiple locations. | data inconsistency The presence of different values for same attribute when the same data are stored in multiple locations. |
| data manipulation language A language associated with a database management system that end users and programmers use to manipulate data in the database. | data manipulation language A language associated with a database management system that end users and programmers use to manipulate data in the database. |
| DevOps Organizational strategy to create a culture and environment to promote rapid and agile developmentpractices by emphasizing close collaboration between software developers and the IT operational staff. | DevOps Organizational strategy to create a culture and environment to promote rapid and agile developmentpractices by emphasizing close collaboration between software developers and the IT operational staff. |
| drill down The ability to move from summary data to lower and lower levels of detail. | drill down The ability to move from summary data to lower and lower levels of detail. |
| Prototyping is faster and should involve users more directly than what is experienced by using the SDLC. End-user interfaces are more closely aligned with actual user requests and requirements | Prototyping is faster and should involve users more directly than what is experienced by using the SDLC. End-user interfaces are more closely aligned with actual user requests and requirements |
| End-user development serves the strategies of the company and the end users. There is no need to hire an actual software or web developer. | End-user development serves the strategies of the company and the end users. There is no need to hire an actual software or web developer. |
| RAD is used when there is a need to create workable systems quickly. | RAD is used when there is a need to create workable systems quickly. |
| JAD is used to accelerate the generation of information requirements and to develop initial systems design. | JAD is used to accelerate the generation of information requirements and to develop initial systems design. |
| Agile development focuses on rapid delivery of working software by breaking large projects into several small subprojects. | Agile development focuses on rapid delivery of working software by breaking large projects into several small subprojects. |
| DevSecOps updates production systems with new software within hours rather than weeks or months. | DevSecOps updates production systems with new software within hours rather than weeks or months. |
| Table Creation: Design and create a table with the appropriate columns, data types, and constraints. This includes defining primary and foreign keys. | Table Creation: Design and create a table with the appropriate columns, data types, and constraints. This includes defining primary and foreign keys. |
| Completeness: Complete data contain all the required attributes. Missing data can skew analyses and lead to incomplete insights. | Completeness: Complete data contain all the required attributes. Missing data can skew analyses and lead to incomplete insights. |
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