In this Chapter learn…
Types of Information System
Tech for data warehouse
Data mart.
Data mining technology
Artificial intelligence(AI)
Tech for non-database model of KM.
This document provides an introduction to data mining. It discusses why data mining is useful given the large amount of data being collected. Data mining involves extracting patterns from data and can be used for applications like market analysis, risk analysis, and fraud detection. The document outlines common data mining functionalities like classification, clustering, and outlier analysis. It also discusses issues in data mining like evaluating interesting patterns, handling noise, and privacy concerns.
Data Mining is defined as extracting information from huge sets of data. In other words, we can say that data mining is the procedure of mining knowledge from data.
According to Inmon, a data warehouse is a subject oriented,
integrated, time-variant, and non-volatile collection of data. He defined the terms
in the sentence as follows:
Informatics is the interdisciplinary study of the design, application, and impact of information technology. It encompasses disciplines like artificial intelligence, cognitive science, and computer science. Information systems involve the use of hardware, software, and networks to collect, process, and distribute data within organizations. They provide important functions like communication, operations, decision-making, records keeping, and more. There are different types of information systems such as decision support systems, transaction processing systems, expert systems, management information systems, and others.
Management information systems (MIS) help management plan, control, and administer organizations by providing them with relevant data and information. An MIS collects data about customers, materials, and customer-material records through surveys, secondary sources, and interviews. It integrates computer hardware, software applications, and databases to store and process this information. When implementing an MIS project, organizations go through steps like requirements gathering, business process mapping, system configuration, testing, and post-launch monitoring and support. Enterprise resource planning (ERP) systems provide integrated management of key business operations like human resources, materials, engineering, finance, planning, and more across an entire organization. MIS networks can be local area networks within buildings, metropolitan area networks within cities, or
BTEC National in ICT: Unit 3 - Ethical Issuesmrcox
Many organizations have codes of practice that define acceptable uses of computing facilities, with the main use being to support the organization's purpose. These codes often permit limited personal use and ban threatening emails or spam. They also restrict access to inappropriate websites and control web server content, while protecting employees who report other users' misuse. Organizational policies state how information is treated, such as restricting access to authorized personnel only, and data ownership lies with the departments that produce it, not the IT department that sets up systems.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies is calling for original research papers, reviews, and technical notes on topics related to computer science and information technology. Papers are due by March 31, 2014 with notification of acceptance by April 20, 2014 and final versions due by April 30, 2014. Topics of interest include advanced algorithms, artificial intelligence, security, databases, networking, and more. Authors should submit manuscripts by email to the provided addresses.
International Journal in Foundations of Computer Science & Information Technology(IJFCSIT) is devoted to fields of Computer Science and Information Systems. The IJFCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be areferencepublication.
The document discusses several UK laws and regulations pertaining to information technology and data protection. It covers the Data Protection Act of 1998, which regulates the use of personal data; the Computer Misuse Act of 1990, which makes hacking and other unauthorized computer access illegal; copyright law; and the Freedom of Information Act of 2000, which gives UK citizens the right to request information held by public bodies. It also addresses ethical issues around privacy, disability access, and whistleblowing. Organizational policies, security, health and safety, and costs are additional areas explored in relation to IT.
This document provides an introduction to data mining. It discusses why data mining is useful given the large amount of data being collected. Data mining involves extracting patterns from data and can be used for applications like market analysis, risk analysis, and fraud detection. The document outlines common data mining functionalities like classification, clustering, and outlier analysis. It also discusses issues in data mining like evaluating interesting patterns, handling noise, and privacy concerns.
Data Mining is defined as extracting information from huge sets of data. In other words, we can say that data mining is the procedure of mining knowledge from data.
According to Inmon, a data warehouse is a subject oriented,
integrated, time-variant, and non-volatile collection of data. He defined the terms
in the sentence as follows:
Informatics is the interdisciplinary study of the design, application, and impact of information technology. It encompasses disciplines like artificial intelligence, cognitive science, and computer science. Information systems involve the use of hardware, software, and networks to collect, process, and distribute data within organizations. They provide important functions like communication, operations, decision-making, records keeping, and more. There are different types of information systems such as decision support systems, transaction processing systems, expert systems, management information systems, and others.
Management information systems (MIS) help management plan, control, and administer organizations by providing them with relevant data and information. An MIS collects data about customers, materials, and customer-material records through surveys, secondary sources, and interviews. It integrates computer hardware, software applications, and databases to store and process this information. When implementing an MIS project, organizations go through steps like requirements gathering, business process mapping, system configuration, testing, and post-launch monitoring and support. Enterprise resource planning (ERP) systems provide integrated management of key business operations like human resources, materials, engineering, finance, planning, and more across an entire organization. MIS networks can be local area networks within buildings, metropolitan area networks within cities, or
BTEC National in ICT: Unit 3 - Ethical Issuesmrcox
Many organizations have codes of practice that define acceptable uses of computing facilities, with the main use being to support the organization's purpose. These codes often permit limited personal use and ban threatening emails or spam. They also restrict access to inappropriate websites and control web server content, while protecting employees who report other users' misuse. Organizational policies state how information is treated, such as restricting access to authorized personnel only, and data ownership lies with the departments that produce it, not the IT department that sets up systems.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies is calling for original research papers, reviews, and technical notes on topics related to computer science and information technology. Papers are due by March 31, 2014 with notification of acceptance by April 20, 2014 and final versions due by April 30, 2014. Topics of interest include advanced algorithms, artificial intelligence, security, databases, networking, and more. Authors should submit manuscripts by email to the provided addresses.
International Journal in Foundations of Computer Science & Information Technology(IJFCSIT) is devoted to fields of Computer Science and Information Systems. The IJFCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be areferencepublication.
The document discusses several UK laws and regulations pertaining to information technology and data protection. It covers the Data Protection Act of 1998, which regulates the use of personal data; the Computer Misuse Act of 1990, which makes hacking and other unauthorized computer access illegal; copyright law; and the Freedom of Information Act of 2000, which gives UK citizens the right to request information held by public bodies. It also addresses ethical issues around privacy, disability access, and whistleblowing. Organizational policies, security, health and safety, and costs are additional areas explored in relation to IT.
Information systems use tools like databases, artificial intelligence/expert systems, the internet, data warehousing, data mining, and predictive modeling. Databases organize related information for storage and retrieval. Artificial intelligence uses rules to help systems perform tasks like human experts. The internet allows access to information and online commerce. Other tools analyze past data patterns, predict future behavior, and help organizations make decisions.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Management information systems (MIS) blend knowledge from management and computers to provide information for decision making through integrated hardware, software, data bases, and decision models. MIS has evolved over four phases from the 1950s focus on data processing to today's use of expert systems. While computers make MIS more efficient and effective, human users remain central to decision making with this user-machine combination.
1) The document discusses data discovery and extraction from source systems into a data warehouse. It covers identifying and documenting all relevant data sources, tracking changes, and analyzing data content and anomalies.
2) The key steps in data discovery are organizing data modeling sessions, ensuring all data points are collected, and documenting source system details. Tracking reports should maintain information on source systems.
3) Integrating heterogeneous data sources presents challenges in aligning data, designing conformed dimensions, and resolving collisions through survivor rules. Business rules must also be identified.
International Journal in Foundations of Computer Science & Information Technology (IJFCSIT) is devoted to fields of Computer Science and Information Systems. The IJFCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This document discusses information systems and information system planning. It defines an information system as a collection of components that collect, process, store and provide output to complete business tasks. It then describes information system architecture as a conceptual blueprint that expresses the desired future structure of an organization's information systems. The document also discusses information engineering methodology, which uses a top-down approach to build data and process models. Finally, it notes the importance of information system planning at the enterprise level to support enterprise-wide computing through an information systems architecture.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal in Foundations of Computer Science & Information Technology (IJFCSIT) is devoted to fields of Computer Science and Information Systems. The IJFCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
Types, purposes, applications of information systemJanamey Urgelles
Information systems can be broadly classified into two types: those that manage electronic information like records or passwords, and those that control electronic processes. The purpose of information systems is to provide information that is timely, complete, accurate and relevant to users. Information systems applications carry out the system's purpose and are used in many fields, with examples including library catalog systems. The value of information is affected by factors like timeliness, accuracy, relevance and completeness.
1) An information system is a set of interrelated components that collect, process, store, and disseminate data and information to meet an objective.
2) Information systems can be classified as either operations support systems, which process data from business operations, or management support systems, which provide information to support managerial decision making.
3) Key types of information systems include transaction processing systems, process control systems, office automation systems, management information systems, decision support systems, and executive information systems.
The document discusses the components of an information system model. It identifies the five basic resources needed for any information system: people, hardware, software, data, and networks. It explains that people resources include end users and IT specialists. Hardware resources include machines like computers and data media. Software resources encompass system software, application software, and procedures. All information systems use these five resources to perform input, processing, output, storage, and control activities that transform data into useful information.
Knowledge Management System & TechnologyElijah Ezendu
Knowledge management systems (KMS) aim to support knowledge generation, codification, and transfer in organizations. Various technologies can provide value-adding capabilities to boost and entrench knowledge management, including information technology, communication technology, and media technology. While information technology alone is not knowledge management, different technologies can fulfill deliverables that support knowledge management processes within an organization. Properly identifying an organization's required and applicable knowledge management activities facilitates effective mapping of knowledge management processes, which then determines a fitting knowledge management system.
Putting the “People” Back in People, Process and Technology - an ITSM Academy...ITSM Academy, Inc.
This document discusses putting people at the center of organizations by focusing on human capital. It covers who people are in organizations and their various talents, skills, personalities and cultures. It discusses how people can solve problems, drive innovation and find the best fit for their talents. It also addresses when to closely mentor or give more flexibility to people. Finally, it covers how to motivate people by focusing on mastery, autonomy and purpose, and developing their talents. The overall message is that people create value for organizations and are the key to success, so their human capital should be viewed as an important asset.
Latest technologies in computer system AI(Artificial Intelligence) Knowledg...muhammad-Sulaiman
The document discusses various topics related to technology including artificial intelligence and knowledge management. It provides an overview of AI including definitions, the history of AI, applications such as game playing and robotics, and types of AI like expert systems and neural networks. Knowledge management is also summarized as capturing, developing, sharing, and using organizational knowledge effectively. Additionally, a wiki is defined as a server program that allows users to collaborate in forming website content.
Aligning people process and technology in km kwt presentationStephanie Barnes
This is the presentation given by Stephanie Barnes at Knowledge Workers Toronto (KWT) on Aug 2, 2011. It is based on her Ark Group report, "Aligning People, Process, and Technology in Knowledge Management" published in May 2011.
The document discusses several knowledge management models. It provides an overview of the Von Krogh and Roos organizational epistemology model, which views knowledge as existing both individually and socially. It also summarizes the Nonaka and Takeuchi knowledge spiral model, which proposes that knowledge is created through the conversion between tacit and explicit knowledge via socialization, externalization, combination, and internalization. Additionally, it outlines Choo's sensemaking model, which emphasizes how information is selected and feeds into organizational decision making.
Databases serve many purposes today across industries and organizations. They store vast amounts of structured data for applications and users. Relational databases remain popular but newer non-relational databases are gaining adoption for their flexibility to handle unstructured data like documents, media files, and real-time data streams.
The document discusses the concept of Web 2.0 and Enterprise 2.0. It notes that Web 2.0 refers to a set of technologies and practices that allow users to connect and share information online more easily. These include tagging, wikis, blogs and other social media tools. The document also lists many different types of social media and collaboration tools used in Enterprise 2.0, including blogs, wikis, social networking and more. It stresses that technology is only part of the solution and change management is also important when adopting these new ways of working.
The document discusses several major knowledge management models:
- The Nonaka and Takeuchi Knowledge Spiral Model describes how tacit and explicit knowledge can be transformed within an organization through four modes of knowledge conversion.
- The von Krogh and Roos Model distinguishes between individual and social knowledge and analyzes how knowledge is acquired and shared in organizations.
- The Choo Sense-Making KM Model focuses on sense making, knowledge creation, and decision making to help organizations adapt strategically.
- The Wiig Model emphasizes organizing knowledge for usefulness and outlines types and degrees of internalization of knowledge.
- The Boisot KM model conceptualizes knowledge as an "information good" that spreads differently depending on its
Information systems use tools like databases, artificial intelligence/expert systems, the internet, data warehousing, data mining, and predictive modeling. Databases organize related information for storage and retrieval. Artificial intelligence uses rules to help systems perform tasks like human experts. The internet allows access to information and online commerce. Other tools analyze past data patterns, predict future behavior, and help organizations make decisions.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Management information systems (MIS) blend knowledge from management and computers to provide information for decision making through integrated hardware, software, data bases, and decision models. MIS has evolved over four phases from the 1950s focus on data processing to today's use of expert systems. While computers make MIS more efficient and effective, human users remain central to decision making with this user-machine combination.
1) The document discusses data discovery and extraction from source systems into a data warehouse. It covers identifying and documenting all relevant data sources, tracking changes, and analyzing data content and anomalies.
2) The key steps in data discovery are organizing data modeling sessions, ensuring all data points are collected, and documenting source system details. Tracking reports should maintain information on source systems.
3) Integrating heterogeneous data sources presents challenges in aligning data, designing conformed dimensions, and resolving collisions through survivor rules. Business rules must also be identified.
International Journal in Foundations of Computer Science & Information Technology (IJFCSIT) is devoted to fields of Computer Science and Information Systems. The IJFCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This document discusses information systems and information system planning. It defines an information system as a collection of components that collect, process, store and provide output to complete business tasks. It then describes information system architecture as a conceptual blueprint that expresses the desired future structure of an organization's information systems. The document also discusses information engineering methodology, which uses a top-down approach to build data and process models. Finally, it notes the importance of information system planning at the enterprise level to support enterprise-wide computing through an information systems architecture.
International Journal of Computer Science Applications & Information Technolo...arpublication
The International Journal of Computer Science Applications & Information Technologies (IJCSAIT) is an international peer reviewed open access journal. It publishes top-level work from all areas of computer science and information technologies applications. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to computer science and information technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
International Journal in Foundations of Computer Science & Information Technology (IJFCSIT) is devoted to fields of Computer Science and Information Systems. The IJFCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
Types, purposes, applications of information systemJanamey Urgelles
Information systems can be broadly classified into two types: those that manage electronic information like records or passwords, and those that control electronic processes. The purpose of information systems is to provide information that is timely, complete, accurate and relevant to users. Information systems applications carry out the system's purpose and are used in many fields, with examples including library catalog systems. The value of information is affected by factors like timeliness, accuracy, relevance and completeness.
1) An information system is a set of interrelated components that collect, process, store, and disseminate data and information to meet an objective.
2) Information systems can be classified as either operations support systems, which process data from business operations, or management support systems, which provide information to support managerial decision making.
3) Key types of information systems include transaction processing systems, process control systems, office automation systems, management information systems, decision support systems, and executive information systems.
The document discusses the components of an information system model. It identifies the five basic resources needed for any information system: people, hardware, software, data, and networks. It explains that people resources include end users and IT specialists. Hardware resources include machines like computers and data media. Software resources encompass system software, application software, and procedures. All information systems use these five resources to perform input, processing, output, storage, and control activities that transform data into useful information.
Knowledge Management System & TechnologyElijah Ezendu
Knowledge management systems (KMS) aim to support knowledge generation, codification, and transfer in organizations. Various technologies can provide value-adding capabilities to boost and entrench knowledge management, including information technology, communication technology, and media technology. While information technology alone is not knowledge management, different technologies can fulfill deliverables that support knowledge management processes within an organization. Properly identifying an organization's required and applicable knowledge management activities facilitates effective mapping of knowledge management processes, which then determines a fitting knowledge management system.
Putting the “People” Back in People, Process and Technology - an ITSM Academy...ITSM Academy, Inc.
This document discusses putting people at the center of organizations by focusing on human capital. It covers who people are in organizations and their various talents, skills, personalities and cultures. It discusses how people can solve problems, drive innovation and find the best fit for their talents. It also addresses when to closely mentor or give more flexibility to people. Finally, it covers how to motivate people by focusing on mastery, autonomy and purpose, and developing their talents. The overall message is that people create value for organizations and are the key to success, so their human capital should be viewed as an important asset.
Latest technologies in computer system AI(Artificial Intelligence) Knowledg...muhammad-Sulaiman
The document discusses various topics related to technology including artificial intelligence and knowledge management. It provides an overview of AI including definitions, the history of AI, applications such as game playing and robotics, and types of AI like expert systems and neural networks. Knowledge management is also summarized as capturing, developing, sharing, and using organizational knowledge effectively. Additionally, a wiki is defined as a server program that allows users to collaborate in forming website content.
Aligning people process and technology in km kwt presentationStephanie Barnes
This is the presentation given by Stephanie Barnes at Knowledge Workers Toronto (KWT) on Aug 2, 2011. It is based on her Ark Group report, "Aligning People, Process, and Technology in Knowledge Management" published in May 2011.
The document discusses several knowledge management models. It provides an overview of the Von Krogh and Roos organizational epistemology model, which views knowledge as existing both individually and socially. It also summarizes the Nonaka and Takeuchi knowledge spiral model, which proposes that knowledge is created through the conversion between tacit and explicit knowledge via socialization, externalization, combination, and internalization. Additionally, it outlines Choo's sensemaking model, which emphasizes how information is selected and feeds into organizational decision making.
Databases serve many purposes today across industries and organizations. They store vast amounts of structured data for applications and users. Relational databases remain popular but newer non-relational databases are gaining adoption for their flexibility to handle unstructured data like documents, media files, and real-time data streams.
The document discusses the concept of Web 2.0 and Enterprise 2.0. It notes that Web 2.0 refers to a set of technologies and practices that allow users to connect and share information online more easily. These include tagging, wikis, blogs and other social media tools. The document also lists many different types of social media and collaboration tools used in Enterprise 2.0, including blogs, wikis, social networking and more. It stresses that technology is only part of the solution and change management is also important when adopting these new ways of working.
The document discusses several major knowledge management models:
- The Nonaka and Takeuchi Knowledge Spiral Model describes how tacit and explicit knowledge can be transformed within an organization through four modes of knowledge conversion.
- The von Krogh and Roos Model distinguishes between individual and social knowledge and analyzes how knowledge is acquired and shared in organizations.
- The Choo Sense-Making KM Model focuses on sense making, knowledge creation, and decision making to help organizations adapt strategically.
- The Wiig Model emphasizes organizing knowledge for usefulness and outlines types and degrees of internalization of knowledge.
- The Boisot KM model conceptualizes knowledge as an "information good" that spreads differently depending on its
Knowledge management in theory and practicethewi025
The document provides an overview and summary of the key concepts from the book "Knowledge Management in Theory and Practice" by Kimiz Dalkir. It discusses several knowledge management cycles and models. It also examines topics like knowledge capture and codification, knowledge sharing through communities of practice, knowledge application at individual and group levels, the role of organizational culture, and tools and strategies for knowledge management. The future challenges of knowledge management are also addressed.
This document provides an overview of knowledge management. It defines data, information, and knowledge and describes explicit and tacit knowledge. It discusses the history of knowledge management from the 1970s to present. It also outlines several common knowledge management models and describes the typical stages in the knowledge management life cycle including information mapping, storage, retrieval, use, and auditing. Finally, it discusses some key terms used in knowledge management.
The document discusses information systems analysis and design. It describes the roles of systems analysts and the modern approach to systems development, which involves methodologies, techniques, and tools. The document outlines the information systems development life cycle and types of information systems like transaction processing, management information, decision support, and expert systems. It also summarizes key aspects of the analysis and design process.
The document discusses information systems analysis and design. It describes the modern approach which focuses on data and process flows. The key roles of systems analysts are outlined, along with common methodologies, techniques and tools used in systems development. Four main types of information systems are also defined.
The document discusses information systems analysis and design. It describes the modern approach which focuses on data and process flows. The key roles of systems analysts are outlined, along with common methodologies, techniques and tools used in systems development. Four main types of information systems are also defined.
This document discusses the importance of information systems and management information systems in organizations. It makes three key points:
1. Information systems are crucial for businesses today as they allow for communication, data processing, productivity increases, and strategic opportunities. They are an integrated set of people, technologies, and procedures that collect, process, store, and distribute information.
2. Management information systems in particular are vital for organizations as they ensure the right data is collected, processed, and distributed to those who need it. This supports strategic planning, management control, operational control, and transaction processing.
3. An information system incorporates organizational, management, and technological dimensions. It requires input, processing, output, feedback, and control
The document discusses the importance of information systems in decision making and strategy building for organizations. It defines information and information technology, and describes the difference between information systems and information technology. An information system is comprised of various components including hardware, software, data, people, and processes. Information systems help management make informed decisions, improve communication and business processes, and develop effective strategies. Managers play an important role in overseeing information systems and ensuring they meet the needs of the organization.
This describes a conceptual model approach to designing an enterprise data fabric. This is the set of hardware and software infrastructure, tools and facilities to implement, administer, manage and operate data operations across the entire span of the data within the enterprise across all data activities including data acquisition, transformation, storage, distribution, integration, replication, availability, security, protection, disaster recovery, presentation, analytics, preservation, retention, backup, retrieval, archival, recall, deletion, monitoring, capacity planning across all data storage platforms enabling use by applications to meet the data needs of the enterprise.
The conceptual data fabric model represents a rich picture of the enterprise’s data context. It embodies an idealised and target data view.
Designing a data fabric enables the enterprise respond to and take advantage of key related data trends:
• Internal and External Digital Expectations
• Cloud Offerings and Services
• Data Regulations
• Analytics Capabilities
It enables the IT function demonstrate positive data leadership. It shows the IT function is able and willing to respond to business data needs. It allows the enterprise to meet data challenges
• More and more data of many different types
• Increasingly distributed platform landscape
• Compliance and regulation
• Newer data technologies
• Shadow IT where the IT function cannot deliver IT change and new data facilities quickly
It is concerned with the design an open and flexible data fabric that improves the responsiveness of the IT function and reduces shadow IT.
This document provides an overview of big data, including its definition, characteristics, categories, sources, storage, analytics, challenges and opportunities. Big data is large and complex datasets that are difficult to process using traditional database management tools. It is characterized by the 5 V's - volume, variety, velocity, value and veracity. Big data comes from both internal and external sources and can be structured, unstructured or semi-structured. It requires specialized storage technologies like Hadoop and NoSQL databases. Analytics on big data uses techniques like machine learning, regression analysis and social network analysis to gain insights. The growth of big data presents both challenges in processing diverse and voluminous data as well as opportunities to generate value.
Rapid changes in the technology lead to increased variety of data sources. These varied data sources
generating data in the large volume and with extremely high speed. To accommodate and use this data in decision
making systems is the big challenge. To make fullest use of the valuable data generated by different systems, target
users of the analysis systems need to be increased. In general knowledge discovery process using the tools which are
available requires the handsome expertise in the domain as well as in the technology. The project ITDA (Integrated
Tool for Data Analysis) focuses to provide the complete platform for multidimensional data analysis to enhance the
decision making process in every domain. This projects provides all the techniques required to perform
multidimensional data analysis and avoids the overheads occurred by the traditional cube architecture followed by
most of the analytics system. Modelling the available data in the multidimensional form is the basis and crucial step
for multidimensional analysis. This work describes the multidimensional modelling aspect and its implementation
using ITDA project.
This document provides an introduction to system analysis and design. It discusses the roles of information technology, information systems, and system analysts. The system development lifecycle is also introduced, including the five main phases: systems planning, systems analysis, systems design, systems implementation, and systems operation and support. Common system development tools, techniques, and methods are also outlined such as modeling, prototyping, and structured analysis.
This document provides an overview of information systems, including their components and types. It describes how information systems are composed of people, hardware, software, data, and telecommunications. It also explains the main types of information systems: transaction processing systems, management information systems, decision support systems, and executive information systems. Each type is used to support different levels of management in an organization.
Introduction to IT, Introduction to IS, Difference be IS and IT, Need for Information System, Information Systems in the Enterprise, Impact of Information Technology on Business (Business Data Processing, Intra and Inter Organizational communication using network technology, Business process and Knowledge process outsourcing), Managers and Activities in IS, Importance of Information systems in decision making and strategy building, Information systems and subsystems.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
International Journal of Data Mining Systems & Applications (IJDSA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Data Mining Systems & Applications. The journal focuses on all technical and practical aspects of Database Management Systems. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced Data Mining Systems & Applications and establishing new collaborations in these areas.
Real World Application of Big Data In Data Mining Toolsijsrd.com
The main aim of this paper is to make a study on the notion Big data and its application in data mining tools like R, Weka, Rapidminer, Knime,Mahout and etc. We are awash in a flood of data today. In a broad range of application areas, data is being collected at unmatched scale. Decisions that previously were based on surmise, or on painstakingly constructed models of reality, can now be made based on the data itself. Such Big Data analysis now drives nearly every aspect of our modern society, including mobile services, retail, manufacturing, financial services, life sciences, and physical sciences. The paper mainly focuses different types of data mining tools and its usage in big data in knowledge discovery.
This document provides an overview of management information systems and computer systems. It defines key terms like data, information, and knowledge. It describes the basic components and operations of a computer system including input, processing, output, and storage. It also explains the differences between hardware, software, and different types of computers for individuals and organizations. Finally, it discusses information systems frameworks and components, and compares file-based systems to database approaches.
Big Data is one of the emerging areas in today's technological world. In this socially active world, data is growing at a tremendous pace of 2.5 quintillion bytes a day roughly that is only set to increase over the coming years.
Here is a guide for all beginners who express interest in this new field - Big Data.
Business intelligence is the process of collecting raw data from various sources, analyzing it to draw meaningful conclusions, and presenting it to drive business decisions. It involves technologies that convert data into useful information to support decision making. Over time, tools like data warehouses, OLAP, and ETL were developed to facilitate analyzing large datasets and generating insights. Business intelligence aims to provide strategic decision support through data exploration, data mining, optimization, and ultimately informing decisions.
This document outlines the key concepts in chapter 2 of the Information Technologies textbook. It discusses:
1) The definition of information systems and how they are classified and support organizations.
2) How IT supports operational, managerial, and strategic activities through different types of systems that aid employees, managers, and executives.
3) How IT supports supply chains and business processes both internally and with external partners through enterprise systems, supply chain management software, and technologies like RFID.
IRIS is a web-based intellectual property management database for the pharmaceutical industry. It automatically downloads patent information from external sources and allows users to integrate, analyze, comment on, and generate reports of IP data in a single centralized system. IRIS streamlines IP workflows and eliminates duplicative efforts and errors through its automated data import and report generation capabilities.
Similar to K technology (Knowledge Management) (20)
Enriching engagement with ethical review processesstrikingabalance
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Impact of Effective Performance Appraisal Systems on Employee Motivation and ...Dr. Nazrul Islam
Healthy economic development requires properly managing the banking industry of any
country. Along with state-owned banks, private banks play a critical role in the country's economy.
Managers in all types of banks now confront the same challenge: how to get the utmost output from
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standard for comparing actual performance to established objectives and recommending practical
solutions that help the organization achieve sustainable growth. Therefore, the purpose of this
research is to determine the effect of performance appraisal on employee motivation and retention.
Comparing Stability and Sustainability in Agile SystemsRob Healy
Copy of the presentation given at XP2024 based on a research paper.
In this paper we explain wat overwork is and the physical and mental health risks associated with it.
We then explore how overwork relates to system stability and inventory.
Finally there is a call to action for Team Leads / Scrum Masters / Managers to measure and monitor excess work for individual teams.
A presentation on mastering key management concepts across projects, products, programs, and portfolios. Whether you're an aspiring manager or looking to enhance your skills, this session will provide you with the knowledge and tools to succeed in various management roles. Learn about the distinct lifecycles, methodologies, and essential skillsets needed to thrive in today's dynamic business environment.
A team is a group of individuals, all working together for a common purpose. This Ppt derives a detail information on team building process and ats type with effective example by Tuckmans Model. it also describes about team issues and effective team work. Unclear Roles and Responsibilities of teams as well as individuals.
Colby Hobson: Residential Construction Leader Building a Solid Reputation Thr...dsnow9802
Colby Hobson stands out as a dynamic leader in the residential construction industry. With a solid reputation built on his exceptional communication and presentation skills, Colby has proven himself to be an excellent team player, fostering a collaborative and efficient work environment.
Org Design is a core skill to be mastered by management for any successful org change.
Org Topologies™ in its essence is a two-dimensional space with 16 distinctive boxes - atomic organizational archetypes. That space helps you to plot your current operating model by positioning individuals, departments, and teams on the map. This will give a profound understanding of the performance of your value-creating organizational ecosystem.
Sethurathnam Ravi: A Legacy in Finance and LeadershipAnjana Josie
Sethurathnam Ravi, also known as S Ravi, is a distinguished Chartered Accountant and former Chairman of the Bombay Stock Exchange (BSE). As the Founder and Managing Partner of Ravi Rajan & Co. LLP, he has made significant contributions to the fields of finance, banking, and corporate governance. His extensive career includes directorships in over 45 major organizations, including LIC, BHEL, and ONGC. With a passion for financial consulting and social issues, S Ravi continues to influence the industry and inspire future leaders.
Originally presented at XP2024 Bolzano
While agile has entered the post-mainstream age, possibly losing its mojo along the way, the rise of remote working is dealing a more severe blow than its industrialization.
In this talk we'll have a look to the cumulative effect of the constraints of a remote working environment and of the common countermeasures.
Ganpati Kumar Choudhary Indian Ethos PPT.pptx, The Dilemma of Green Energy Corporation
Green Energy Corporation, a leading renewable energy company, faces a dilemma: balancing profitability and sustainability. Pressure to scale rapidly has led to ethical concerns, as the company's commitment to sustainable practices is tested by the need to satisfy shareholders and maintain a competitive edge.
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During an organizational transformation, the shift is from the previous state to an improved one. In the realm of agility, I emphasize the significance of identifying polarities. This approach helps establish a clear understanding of your objectives. I have outlined 12 incremental actions to delineate your organizational strategy.
Designing and Sustaining Large-Scale Value-Centered Agile Ecosystems (powered...Alexey Krivitsky
Is Agile dead? It depends on what you mean by 'Agile'. If you mean that the organizations are not getting the promised benefits because they were focusing too much on the team-level agile "ways of working" instead of systemic global improvements -- then we are in agreement. It is a misunderstanding of Agility that led us down a dead-end. At Org Topologies, we see bright sparks -- the signs of the 'second wave of Agile' as we call it. The emphasis is shifting towards both in-team and inter-team collaboration. Away from false dichotomies. Both: team autonomy and shared broad product ownership are required to sustain true result-oriented organizational agility. Org Topologies is a package offering a visual language plus thinking tools required to communicate org development direction and can be used to help design and then sustain org change aiming at higher organizational archetypes.
2. *Types of Information System
*Tech for data warehouse
*Data mart.
*Data mining technology
*Artificial intelligence(AI)
*Tech for non-database model of KM.
*
3. *
1.MIS & EIS
MIS – Management Information System.
EIS – Expert Information System.
*Created & Used at the management level of an organization.
*Facilitated the function of planning, controlling & decision
making by providing routine summary & exception reports.
*Oriented to internal event & dependent on.
4. 2.DSS – Decision Support System
*Combine data & sophisticated analytical models (data
analysis tool).
*Bring information from external sources.
e.g: Product price of competitors
3.GIS – Geographical Information
System
*Powerful technology allows virtually unlimited amounts of
information to linked a geographical location.
*Records, Stores & Analyses.
5. *Enables one to extract information from legacy
systems(larges database) and other online
transaction processing and business
applications.
*Provides an integrated view of all business
related data, and useful for business analysis.
*Provides access to an integrated view of all
transactions and business related data.
*
6. *Like the data warehouse technology except
that it extracts and provides integration of
information at a department/division level.
*E.g. for sales forecasting and product
development.
*
7. *Data mining is a technology that complements
data warehousing.
*Data mining technology helps to find patterns
and correlations within all of these data.
*Data mining tools can extract hidden
information through techniques such as key
words, query, and analysis, to lead to
knowledge discovery
*
8. 1. Query and Reporting Tools.
2. Statistical Analysis Tools.
3. Data Discovery Tools.
4. Text Mining.
*
10. 1. Filtering
2. Fuzzy Matching
3. Interoperability at the Knowledge Layer
4. Knowledge Representation
*
11. 1.INTRANETS
*Internal organizational network using internet technology to
provide private internet service within the organization.
2.EXTRANETS
*Extend intranets or the private intranets that are extended to
authorized users outside the company.
*