This document discusses data, text, and document management. It covers file management systems, database management systems, data warehouses, and enterprise content management. Effective data management is important for organizations to access and use data efficiently. It reduces data redundancy, inconsistency, and isolation issues. Database management systems help solve problems of file-based systems by providing centralized access to data. Data warehouses further organize vast amounts of data for analysis and decision making.
This document provides an overview of key concepts from Chapter 1 of the textbook. It discusses how IT can optimize organizational performance through agility and mobility. Effective use of IT requires understanding the relationships between people, business processes, and organizational culture. The chapter also covers strategic planning, competitive models, business performance measurement, ethics, and career opportunities in the IT field.
The document discusses network management and mobility. It covers business networks and their functions of mobility, collaboration, relationships and search. Wireless broadband networks like 3G and 4G are described along with technologies like WiMAX and LTE. Network management portals are discussed as well as collaboration tools. Issues of network infrastructure, performance, intranets, extranets and VPNs are also summarized.
This document discusses the benefits of unified endpoint data management in embracing bring your own device (BYOD) trends. It summarizes that BYOD and increased use of consumer apps are creating challenges for IT departments around data security, protection, and centralized control. A unified approach to endpoint data management through solutions like Druva's inSync product can address these challenges by providing backup, file sharing, data loss prevention, and other capabilities in a single client to increase security and productivity while reducing costs.
- IT needs to implement an ECM system to manage the growing amount of unstructured data and content that users are storing in unauthorized locations outside of the organization's control, like cloud storage and personal devices.
- For the ECM system to be effective, it must have high adoption amongst end users. This requires understanding how users actually work rather than making assumptions, and designing the ECM system around users' daily tasks and challenges finding information.
- The document outlines exercises for requirements gathering that focus on understanding users' information sources, challenges, and daily workflows in order to design an ECM system that solves users' problems and enables productivity, leading to higher adoption.
The need for IT to get in front of the BYOD (Bring Your Own Device) problemIron Mountain
This document discusses the growing trend of BYOD (Bring Your Own Device) in organizations and the challenges it poses for IT departments. Some key points:
- Nearly 3 out of 5 organizations see BYOD as a problem currently and expect it to become more serious as the trend grows.
- While BYOD can potentially reduce costs and improve employee morale, it also significantly increases risks around device support, content management, network security, and corporate governance compliance.
- With the variety of personal devices and lack of IT control, supporting and securing content on BYOD devices is much more difficult than on company-owned devices.
This paper takes an enterprise architecture approach to describe the IT Security Architecture impacts of migrating from an employer supplied “use what you’re told” (UWYT) model to an employee purchased “bring your own device” (BYOD) model. More and more employees and executives demand the option to use their consumer IT devices to do their work. This blend of work and life, combined with flexible work hours also contributes to an atmosphere where people want to be able to work with the tools of their choice.
Managing Dirty Data In Organization Using ErpDonovan Mulder
This document discusses managing dirty data in organizations using ERP systems. It begins with defining dirty data and how it can negatively impact organizations. It then discusses the costs of using dirty data and how ERP systems can help integrate disparate data sources and clean up dirty data. The document also summarizes lessons learned from a case study of a company that implemented an ERP system, including the importance of understanding how ERP systems change user roles and communicating those changes.
The document discusses the challenges of managing large, diverse data sources known as "Big Data". It notes that while data volumes are growing, not all data has high value. It also outlines the emerging ecosystem of tools for distributed storage, analytics and search that are helping organizations extract value from both structured and unstructured data sources. The document concludes that both traditional and new approaches to data management and analytics have important roles to play as organizations tackle new data-driven challenges.
This document provides an overview of key concepts from Chapter 1 of the textbook. It discusses how IT can optimize organizational performance through agility and mobility. Effective use of IT requires understanding the relationships between people, business processes, and organizational culture. The chapter also covers strategic planning, competitive models, business performance measurement, ethics, and career opportunities in the IT field.
The document discusses network management and mobility. It covers business networks and their functions of mobility, collaboration, relationships and search. Wireless broadband networks like 3G and 4G are described along with technologies like WiMAX and LTE. Network management portals are discussed as well as collaboration tools. Issues of network infrastructure, performance, intranets, extranets and VPNs are also summarized.
This document discusses the benefits of unified endpoint data management in embracing bring your own device (BYOD) trends. It summarizes that BYOD and increased use of consumer apps are creating challenges for IT departments around data security, protection, and centralized control. A unified approach to endpoint data management through solutions like Druva's inSync product can address these challenges by providing backup, file sharing, data loss prevention, and other capabilities in a single client to increase security and productivity while reducing costs.
- IT needs to implement an ECM system to manage the growing amount of unstructured data and content that users are storing in unauthorized locations outside of the organization's control, like cloud storage and personal devices.
- For the ECM system to be effective, it must have high adoption amongst end users. This requires understanding how users actually work rather than making assumptions, and designing the ECM system around users' daily tasks and challenges finding information.
- The document outlines exercises for requirements gathering that focus on understanding users' information sources, challenges, and daily workflows in order to design an ECM system that solves users' problems and enables productivity, leading to higher adoption.
The need for IT to get in front of the BYOD (Bring Your Own Device) problemIron Mountain
This document discusses the growing trend of BYOD (Bring Your Own Device) in organizations and the challenges it poses for IT departments. Some key points:
- Nearly 3 out of 5 organizations see BYOD as a problem currently and expect it to become more serious as the trend grows.
- While BYOD can potentially reduce costs and improve employee morale, it also significantly increases risks around device support, content management, network security, and corporate governance compliance.
- With the variety of personal devices and lack of IT control, supporting and securing content on BYOD devices is much more difficult than on company-owned devices.
This paper takes an enterprise architecture approach to describe the IT Security Architecture impacts of migrating from an employer supplied “use what you’re told” (UWYT) model to an employee purchased “bring your own device” (BYOD) model. More and more employees and executives demand the option to use their consumer IT devices to do their work. This blend of work and life, combined with flexible work hours also contributes to an atmosphere where people want to be able to work with the tools of their choice.
Managing Dirty Data In Organization Using ErpDonovan Mulder
This document discusses managing dirty data in organizations using ERP systems. It begins with defining dirty data and how it can negatively impact organizations. It then discusses the costs of using dirty data and how ERP systems can help integrate disparate data sources and clean up dirty data. The document also summarizes lessons learned from a case study of a company that implemented an ERP system, including the importance of understanding how ERP systems change user roles and communicating those changes.
The document discusses the challenges of managing large, diverse data sources known as "Big Data". It notes that while data volumes are growing, not all data has high value. It also outlines the emerging ecosystem of tools for distributed storage, analytics and search that are helping organizations extract value from both structured and unstructured data sources. The document concludes that both traditional and new approaches to data management and analytics have important roles to play as organizations tackle new data-driven challenges.
Mobile devices present new challenges for backing up data as more employees use their personal smartphones and tablets for work. IT needs to implement a smart mix of policies, cloud services, and mobile device management to address these challenges. Specifically, the policy should clearly define the company's requirements for accessing corporate data on personal devices and clarify IT's responsibilities for backing up corporate versus personal data. The cloud can help with backups, but full device backups are difficult due to limitations of mobile operating systems.
The document discusses how IT managers are navigating increasing demands for mobile and visual collaboration tools from users. It provides insights into IT priorities and plans for unified communications (UC) investments. Key points include:
1) Improving collaboration is a top priority, but reducing costs is also important. The best practice is to design UC projects that drive both hard and soft cost savings.
2) Over half of IT buyers have plans to adopt UC, showing it is taking hold. Vendors now integrate voice, video, messaging and conferencing into consolidated suites.
3) Support for mobility is linked to simplifying and consolidating UC infrastructure to accommodate a range of endpoints. Most enterprises plan mobile UC applications to leverage
- The document discusses cloud computing and provides perspectives from IT professionals on what qualifies as cloud computing. It addresses different cloud models like IaaS, PaaS, and SaaS.
- Survey results show that IT professionals view hosted services as legitimate examples of cloud computing, rather than just the enabling technology. Factors like elastic scaling of resources and pay-per-use models are also seen as important.
- There is no single definition and different workloads may be suited to different deployment models between on-premise, hosted, dedicated, or shared/dynamic environments. The key is understanding individual requirements.
This document provides an overview of information systems and their impact on organizations and society. It discusses why studying information systems is important for both personal and career reasons. Information systems have reduced middle managers while changing the role of other managers. While some jobs may be eliminated, new jobs are also created that require information technology skills. Information systems have also improved quality of life through increased access to services and healthcare improvements. Overall, information systems play a vital role in modern business and society.
Forrester: How Organizations Are Improving Business Resiliency with Continuou...EMC
This analyst report describes reasons why adoption of continuous availability is rapidly increasing, citing research on benefits they believe they can realize in their IT environment.
The deliverable from a consulting engagement for a hospital. The hospital needed to define the requirements for a single EIM platform. This two-day clinic allowed them to identify key issues and requirements to reduce the time to move from idea to RFP. While ensuring the that process stayed focused on hospital goals rather than just technical ease and fastest implementation.
This document discusses identity management challenges in cloud computing. As organizations adopt cloud services, identity management becomes more complex, with issues around user provisioning/deprovisioning across systems, password sprawl as users have accounts in multiple cloud systems, and lack of auditing capabilities in cloud systems. Solutions include leveraging on-premise identity management systems with single sign-on and identity synchronization/proxy services, as well as new identity-as-a-service systems that aim to manage identities primarily in the cloud. Effective identity management is crucial as organizations increase their adoption of cloud services.
The document is a lecture on introduction to e-commerce. It discusses key topics like information society, information systems, information technology, knowledge management, and e-business models. The lecturer is Bahman Moghimi who has a Doctorate in Business Administration and Master's degree in Industrial Marketing and e-Commerce from the University of Georgia. He provides his contact email for any questions.
There is a general lack of awareness and enforcement of security policies and procedures in companies today, according to new research announced by privacy and information management research firm, Ponemon Institute. The report, Trends in Insider Compliance with Data Security Policies: Employees Evade and Ignore Security Policies, was sponsored by IronKey, maker of the world's most secure flash drive, and examines the challenges facing IT professionals in securing confidential data.
SSI provides data protection solutions to help organizations protect sensitive data throughout its lifecycle. SSI's solutions include consulting services, data leakage prevention, full disk encryption, network access control, encryption devices, and a hardware security module to provide the highest level of security. Implementing SSI's solutions can help organizations comply with privacy regulations and protect their reputation.
1) The document discusses findings from research on how organizations are using big data.
2) It finds that nearly two-thirds of respondents realize a competitive advantage from analytics and information, including big data. Customer analytics are driving most big data initiatives.
3) Big data requires a scalable infrastructure and integrated data foundations. Initial efforts focus on analyzing existing internal data sources like transactions and emails. Strong analytics capabilities and skills are also needed to generate insights from big data.
ERP II systems aim to integrate information, processes, and functions both within and between companies in real-time. This allows for data to be shared anywhere at any time accurately, regardless of location, borders, or language. Key needs driving the adoption of these extended enterprise systems include speed of execution, adaptability, flexibility, and responsiveness to better serve customers and the supply chain. The future of ERP II will focus on clear information flows within and between organizations, differentiating solutions with bottom-line impact, utilizing web services to link applications and exchanges, and establishing standards.
This document provides an overview of network security for small to medium sized companies. It discusses how the nature of threats has evolved with increased connectivity, requiring companies to implement layered security strategies. The document outlines key aspects of a security program, including security plans and policies, operations, risk management, access control, and disaster recovery. It emphasizes the importance of a centralized security policy and identity management system to efficiently govern security across all company locations and domains. Overall, the document presents concepts and processes for protecting company assets and maintaining business continuity through a unified security approach.
Big Data and Content Management. SkyDox and the European Court of Human Righ...SkyDox LTD
SkyDox Business Development Director, Josh Gilbertson & Head of IT at the ECHR John Hunter, discuss how SkyDox cloud-enabled file collaboration platform has improved the content management at the ECHR at Info360 in New York.
The document discusses the concept of e-intelligence and how it enables organizations to leverage the power of e-business and business intelligence. E-intelligence systems integrate e-business operations into traditional business intelligence environments to provide users a complete view of business information. This allows users to make informed decisions and optimize e-business offerings based on accurate data. The document outlines requirements for e-intelligence systems and presents a framework that integrates e-business into existing business intelligence environments.
Big Data Whitepaper - Streams and Big Insights Integration PatternsMauricio Godoy
This document discusses designing integrated applications across IBM InfoSphere Streams and IBM InfoSphere BigInsights to address challenges posed by big data. It describes three main application scenarios for the integration: 1) scalable data ingest from Streams to BigInsights, 2) using historical context from BigInsights to bootstrap and enrich real-time analytics on Streams, and 3) generating adaptive analytics models on BigInsights to analyze incoming data on Streams and updating models based on real-time observations.
The document discusses several topics related to information management within government organizations. It begins by outlining the key considerations for a Canadian government RFI on cloud services, including policy, business, technical, procurement, pricing and security. It then discusses challenges of moving to the cloud and key capabilities needed for collaboration and content management. Several graphics show examples of infrastructure layouts, the variety of locations information can be stored, and the need to define user journeys to understand how people complete tasks. It emphasizes identifying "dangerous" user groups where compliance issues are most likely to occur to prioritize support and adoption of information management systems.
The document provides information about what a data warehouse is and why it is important. A data warehouse is a relational database designed for querying and analysis that contains historical data from transaction systems and other sources. It allows organizations to access, analyze, and report on integrated information to support business processes and decisions.
The document discusses different types of information systems used to support organizational activities. It defines key terms like data, information, and knowledge. It then classifies information systems based on organizational level (personal, transaction processing, functional, enterprise, interorganizational, global) and type of support provided (MIS, OAS, CAD/CAM, etc.). The document also discusses how information systems support operational, managerial, and strategic activities through systems like transaction processing systems, business intelligence, and decision support systems.
Mobile devices present new challenges for backing up data as more employees use their personal smartphones and tablets for work. IT needs to implement a smart mix of policies, cloud services, and mobile device management to address these challenges. Specifically, the policy should clearly define the company's requirements for accessing corporate data on personal devices and clarify IT's responsibilities for backing up corporate versus personal data. The cloud can help with backups, but full device backups are difficult due to limitations of mobile operating systems.
The document discusses how IT managers are navigating increasing demands for mobile and visual collaboration tools from users. It provides insights into IT priorities and plans for unified communications (UC) investments. Key points include:
1) Improving collaboration is a top priority, but reducing costs is also important. The best practice is to design UC projects that drive both hard and soft cost savings.
2) Over half of IT buyers have plans to adopt UC, showing it is taking hold. Vendors now integrate voice, video, messaging and conferencing into consolidated suites.
3) Support for mobility is linked to simplifying and consolidating UC infrastructure to accommodate a range of endpoints. Most enterprises plan mobile UC applications to leverage
- The document discusses cloud computing and provides perspectives from IT professionals on what qualifies as cloud computing. It addresses different cloud models like IaaS, PaaS, and SaaS.
- Survey results show that IT professionals view hosted services as legitimate examples of cloud computing, rather than just the enabling technology. Factors like elastic scaling of resources and pay-per-use models are also seen as important.
- There is no single definition and different workloads may be suited to different deployment models between on-premise, hosted, dedicated, or shared/dynamic environments. The key is understanding individual requirements.
This document provides an overview of information systems and their impact on organizations and society. It discusses why studying information systems is important for both personal and career reasons. Information systems have reduced middle managers while changing the role of other managers. While some jobs may be eliminated, new jobs are also created that require information technology skills. Information systems have also improved quality of life through increased access to services and healthcare improvements. Overall, information systems play a vital role in modern business and society.
Forrester: How Organizations Are Improving Business Resiliency with Continuou...EMC
This analyst report describes reasons why adoption of continuous availability is rapidly increasing, citing research on benefits they believe they can realize in their IT environment.
The deliverable from a consulting engagement for a hospital. The hospital needed to define the requirements for a single EIM platform. This two-day clinic allowed them to identify key issues and requirements to reduce the time to move from idea to RFP. While ensuring the that process stayed focused on hospital goals rather than just technical ease and fastest implementation.
This document discusses identity management challenges in cloud computing. As organizations adopt cloud services, identity management becomes more complex, with issues around user provisioning/deprovisioning across systems, password sprawl as users have accounts in multiple cloud systems, and lack of auditing capabilities in cloud systems. Solutions include leveraging on-premise identity management systems with single sign-on and identity synchronization/proxy services, as well as new identity-as-a-service systems that aim to manage identities primarily in the cloud. Effective identity management is crucial as organizations increase their adoption of cloud services.
The document is a lecture on introduction to e-commerce. It discusses key topics like information society, information systems, information technology, knowledge management, and e-business models. The lecturer is Bahman Moghimi who has a Doctorate in Business Administration and Master's degree in Industrial Marketing and e-Commerce from the University of Georgia. He provides his contact email for any questions.
There is a general lack of awareness and enforcement of security policies and procedures in companies today, according to new research announced by privacy and information management research firm, Ponemon Institute. The report, Trends in Insider Compliance with Data Security Policies: Employees Evade and Ignore Security Policies, was sponsored by IronKey, maker of the world's most secure flash drive, and examines the challenges facing IT professionals in securing confidential data.
SSI provides data protection solutions to help organizations protect sensitive data throughout its lifecycle. SSI's solutions include consulting services, data leakage prevention, full disk encryption, network access control, encryption devices, and a hardware security module to provide the highest level of security. Implementing SSI's solutions can help organizations comply with privacy regulations and protect their reputation.
1) The document discusses findings from research on how organizations are using big data.
2) It finds that nearly two-thirds of respondents realize a competitive advantage from analytics and information, including big data. Customer analytics are driving most big data initiatives.
3) Big data requires a scalable infrastructure and integrated data foundations. Initial efforts focus on analyzing existing internal data sources like transactions and emails. Strong analytics capabilities and skills are also needed to generate insights from big data.
ERP II systems aim to integrate information, processes, and functions both within and between companies in real-time. This allows for data to be shared anywhere at any time accurately, regardless of location, borders, or language. Key needs driving the adoption of these extended enterprise systems include speed of execution, adaptability, flexibility, and responsiveness to better serve customers and the supply chain. The future of ERP II will focus on clear information flows within and between organizations, differentiating solutions with bottom-line impact, utilizing web services to link applications and exchanges, and establishing standards.
This document provides an overview of network security for small to medium sized companies. It discusses how the nature of threats has evolved with increased connectivity, requiring companies to implement layered security strategies. The document outlines key aspects of a security program, including security plans and policies, operations, risk management, access control, and disaster recovery. It emphasizes the importance of a centralized security policy and identity management system to efficiently govern security across all company locations and domains. Overall, the document presents concepts and processes for protecting company assets and maintaining business continuity through a unified security approach.
Big Data and Content Management. SkyDox and the European Court of Human Righ...SkyDox LTD
SkyDox Business Development Director, Josh Gilbertson & Head of IT at the ECHR John Hunter, discuss how SkyDox cloud-enabled file collaboration platform has improved the content management at the ECHR at Info360 in New York.
The document discusses the concept of e-intelligence and how it enables organizations to leverage the power of e-business and business intelligence. E-intelligence systems integrate e-business operations into traditional business intelligence environments to provide users a complete view of business information. This allows users to make informed decisions and optimize e-business offerings based on accurate data. The document outlines requirements for e-intelligence systems and presents a framework that integrates e-business into existing business intelligence environments.
Big Data Whitepaper - Streams and Big Insights Integration PatternsMauricio Godoy
This document discusses designing integrated applications across IBM InfoSphere Streams and IBM InfoSphere BigInsights to address challenges posed by big data. It describes three main application scenarios for the integration: 1) scalable data ingest from Streams to BigInsights, 2) using historical context from BigInsights to bootstrap and enrich real-time analytics on Streams, and 3) generating adaptive analytics models on BigInsights to analyze incoming data on Streams and updating models based on real-time observations.
The document discusses several topics related to information management within government organizations. It begins by outlining the key considerations for a Canadian government RFI on cloud services, including policy, business, technical, procurement, pricing and security. It then discusses challenges of moving to the cloud and key capabilities needed for collaboration and content management. Several graphics show examples of infrastructure layouts, the variety of locations information can be stored, and the need to define user journeys to understand how people complete tasks. It emphasizes identifying "dangerous" user groups where compliance issues are most likely to occur to prioritize support and adoption of information management systems.
The document provides information about what a data warehouse is and why it is important. A data warehouse is a relational database designed for querying and analysis that contains historical data from transaction systems and other sources. It allows organizations to access, analyze, and report on integrated information to support business processes and decisions.
The document discusses different types of information systems used to support organizational activities. It defines key terms like data, information, and knowledge. It then classifies information systems based on organizational level (personal, transaction processing, functional, enterprise, interorganizational, global) and type of support provided (MIS, OAS, CAD/CAM, etc.). The document also discusses how information systems support operational, managerial, and strategic activities through systems like transaction processing systems, business intelligence, and decision support systems.
Information technology for management (6th edition)MShuibMJ
The document summarizes the organization and contents of the 6th edition of the textbook "Information Technology for Management" by Turban, Leidner, McLean, and Wetherbe from 2008. The textbook is divided into 6 parts covering IT in organizations, infrastructure, the web revolution, organizational applications, managerial systems, and implementing/managing IT. Each part contains chapters that provide overviews of key topics, cases, and resources to support student learning.
Strategic Management and Information Technology OutsourcingFarooq Omar
This document discusses strategic project management considerations for outsourcing an IT project. It emphasizes the importance of clearly specifying requirements, conducting a thorough cost-benefit analysis, and selecting an experienced project manager to oversee vendor communication and performance monitoring. The document also stresses the need for strong security policies and choosing a vendor that adheres to the organization's security rules to protect sensitive data when outsourcing IT functions.
Chapter 8 operating systems and utility programshaider ali
System software includes operating systems and utility programs. An operating system controls computer hardware and software resources, coordinates tasks, and provides a user interface. Utility programs allow maintenance tasks like file management, disk cleanup, backup, and security protection from viruses, spyware, and adware. Common operating systems include Windows, Mac OS, Linux, and embedded operating systems for mobile devices.
Windows 10 won’t be launching for quite a while but we already know a lot about Microsoft’s upcoming OS. From Xbox for Windows and Cortana for desktop to a resurrected Start Menu and new multitasking tools, the new platform will offer a bevy of new features. These are the 10 best.
Chapter 3Data Management,Big Data Analytics, andRecords Ma.docxchristinemaritza
The document discusses database management systems and data analytics. It describes how databases store volatile transaction data while data warehouses integrate data from multiple sources for analysis. It explains important concepts like ETL, data quality, and the need for human expertise in data analytics. Data analytics are used to support decisions in various business functions like marketing, pricing, and forecasting. Emerging technologies like Hadoop and MapReduce enable processing of large, diverse "big data" sets.
This chapter discusses data and knowledge management. It covers topics such as data warehousing, business intelligence, data mining, knowledge management, and how various technologies can be used to manage data and knowledge. The key points are:
- Data management is critical for IT applications and involves issues around data quality, collection, analysis, and security.
- Data warehousing involves collecting and organizing data from various sources to support analysis and decision-making.
- Business intelligence uses tools like reporting, data mining and analytics to discover patterns and insights from data.
- Knowledge management aims to identify, share and apply knowledge within an organization using technologies like collaboration tools, knowledge repositories and artificial intelligence.
Encrypted Data Management With Deduplication In Cloud...Angie Jorgensen
The document discusses some disadvantages of Minitrex's current data management system and proposes solutions based on customer relationship management (CRM) theories. It finds that Minitrex's data is siloed across different departments, leading to issues like duplicate customer records and a lack of a holistic view of customers. It suggests integrating CRM across departments to get a unified view of customers. It also recommends utilizing CRM software to consolidate data to improve data quality, gain insights, and better manage customer relationships. Leadership support and an integrated, holistic approach are identified as important for effective use of CRM.
In this PPT, you will learn:
• The difference between data and information
• What a database is, the various types of databases, and why they are valuable assets for
decision making
• The importance of database design
• How modern databases evolved from file systems
• About flaws in file system data management
• The main components of the database system
• The main functions of a database management system (DBMS)
This chapter discusses key concepts in data management including data sources, collection and quality; data warehousing; database management systems; and the data life cycle. It describes how data moves from raw to processed to analytical stages and how tools like data profiling, quality management, and integration improve data infrastructure. Finally, it addresses managerial issues around data storage, delivery, security, and ethics.
The document discusses database design, including its definition, key aspects, advantages, and disadvantages. Database design is the process of creating a structured plan for how a database will store and manage data, taking into account normalization, relationships between tables, performance, scalability, and security. The primary advantages of DBMS include improved data sharing, data integration, data consistency, and data integrity. Potential disadvantages include high costs, complexity, data dependency issues, and the risk of single point of failure.
Understand how the database approach is Understand how the database approach is different and superior to earlier data systems different and superior to earlier data systems
Examine how information demand and Examine how information demand and technology explosion drive database systems technology explosion drive database systems
Trace the evolution of data systems and note Trace the evolution of data systems and note how we have arrive at the database approach how we have arrive at the database approach
Comprehend the benefits of database systems Comprehend the benefits of database systems and perceive the need for them and perceive the need for them
Survey briefly various data models, types of Survey briefly various data models, types of databases, and the database industry
This document provides an introduction to database management systems. It discusses how database systems have become essential for organizations to store and access crucial information needed to run their businesses. The document traces the evolution of data systems from manual files to modern database management systems and examines how increasing information demands and rapid technology growth drove this transition. It also provides overviews of key database concepts like data modeling, database design, database capabilities for storage, queries and more. Finally, it outlines the roles of various people who work with databases, such as system analysts, database designers, application developers and administrators, and end users.
This document provides an introduction and overview of database management systems. It discusses how database systems have become essential for organizations to store and access crucial information needed to run their businesses. The document traces the evolution of data systems from manual files to modern database management systems and examines how increasing information demands and rapid technology growth drove this transition. It defines key database concepts like data modeling, queries, and storage capabilities.
● Why Databases?
● Why Database Design is Important?
● The Database System Environment and Functions.
● Managing the Database System: A Shift in Focus.
LEARNING OBJECTIVES
After studying this chapter, you should be able to:
1. Explain the importance and advantages of databases, as well as the difference between database systems and file-based legacy systems.
2. Explain database systems, including logical and physical views, schemas,
the data dictionary, and DBMS languages.
3. Describe what a relational database is, how it organizes data, and how to
create a set of well-structured relational database tables.
Relational databases underlie most modern integrated AISs. This chapter and Chapters 17
through 19 explain how to participate in the design and implementation of a database. This
chapter defines a database, with the emphasis on understanding the relational database structure. Chapter 17 introduces two tools used to design databases—entity-relationship diagramming and REA data modeling—and demonstrates how to use them to b uild a data model.
To appreciate the power of databases, it is important to understand how data are stored in
computer systems. Figure 4-1 shows a data hierarchy. Information about the attributes of a
customer, such as name and address, are stored in fields. All the fields containing data about
one entity (e.g., one customer) form a record. A set of related records, such as all customer
records, forms a file (e.g., the customer file). A set of interrelated, centrally coordinated data
files that are stored with as little data redundancy as possible forms a database. A database
consolidates records previously stored in separate files into a common pool and serves a variety of users and data processing applications.
Databases were developed to address the proliferation of master files. For many years, companies created new files and programs each time a need for information arose. Bank of America
once had 36 million customer accounts in 23 separate systems. This proliferation created problems such as storing the same data in two or more master files, as shown in Figure 4-2. This made
it difficult to integrate and update data and to obtain an organization-wide view of data. It also created problems because the data in the different files were inconsistent. For example, a customer’s
address may have been correctly updated in the shipping master file but not the billing master file.
Figure 4-2 illustrates the differences between file-oriented systems and database systems.
In the database approach, data is an organizational resource that is used by and managed for
the entire organization, not just the originating department. A database management system
(DBMS) is the program that manages and controls the data and the interfaces between the
data and the application programs that use the data stored in the database. The database, the
DBMS, and the application programs that access the database through the DBMS are referred
to as the database system. The database administrator (DBA) is responsible for coordinating, controlling, and managing the database.
This document provides an introduction to data warehousing. It defines a data warehouse as a subject-oriented, integrated, time-invariant, and non-volatile collection of data from multiple sources designed to support analysis and decision making. Data warehouses centralize data for analysis, allow analysis of broad business data over time, and are a core component of business intelligence. They improve decision making, increase productivity and efficiency, and provide competitive advantages for organizations. While data warehouses provide benefits, they also face challenges related to scalability, speed, and security.
This document provides an overview of database environments and compares file processing and database approaches. It defines key terms like data, information, and database. The database approach integrates and shares data across an organization, reducing redundancy and inconsistencies compared to file processing. A database environment consists of several components including the database, database management system, application programs, user interface, and roles like administrators and developers.
The document discusses Master Data Management (MDM). It defines MDM as a framework for creating and maintaining authoritative, reliable, accurate and secure master data across an enterprise. The key points covered are:
- MDM is needed to resolve data uncertainty and have a single version of truth. It identifies master data items and manages them.
- MDM implementation involves identifying master data sources, appointing data stewards, developing a data model, choosing tools, and designing infrastructure to generate and test master data.
- MDM provides benefits like a single version of truth, increased consistency, data governance and facilitates multiple domains and data analysis across departments.
This document discusses managing data across its lifecycle from requirement to retirement. It outlines the challenges of data growth, inefficient testing practices, and poorly planned enterprise changes. It promotes an information governance approach and leveraging IBM InfoSphere solutions to optimize the data lifecycle through four phases: discover and define, develop and test, optimize and archive, consolidate and retire. Specific solutions discussed include test data management, database workload capture and replay, and archiving to reduce storage costs and risks of non-compliance. The overall message is that holistic data lifecycle management can improve application quality, accelerate delivery, reduce costs, and better manage risks.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
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Chapter 03 it-8ed-volonino
1. Part II. Data and Network Infrastructure
C hapter 3
Data, Text, and
Document Management
M a n a g e m e n t I n fo r m a t i o n S y s te m s
EIMBA
Copyright 2012 John Wiley & Sons, Inc.
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2. Chapter 3 Outline
3.1 Data, Text, and Document Management
3.2 File Management Systems
3.3 Database Management Systems
3.4 Data Warehouses, Data Marts, and Data Centers
3.5 Enterprise Content Management
Copyright 2012 John Wiley & Sons, Inc.
3-2
3. Chapter 3 Learning Objectives
Describe data, text, and document
management, and their impacts on performance.
Understand file management systems.
Understand the functions of databases and
database management systems.
Describe the tactical and strategic benefits of data
warehouses, data marts, and data centers.
Copyright 2012 John Wiley & Sons, Inc.
3-3
4. For Class Discussion & Debate
Wendy's International Relies on Text Mining for
Customer Experience Management
Scenario for Brainstorming & Discussion (see book for full text)
1. Select an industry, company, or public sector.
2. Identify costs due to ignorance about customers’ or
constituents’ experiences.
3. Explain how your selection could benefit from text
analytics that provided feedback within 24 hours.
4. Compare and assess your answers with others in class.
Copyright 2012 John Wiley & Sons, Inc.
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5. Debate (see book for full text)
• Select one side of the argument, as described in
the textbook.
• Debate whether investments in text message
collection and mining should be made even if no
ROI can be determined in advance.
• Provide convincing arguments either in favor of
or against the investment in text message
collection and mining.
Copyright 2012 John Wiley & Sons, Inc.
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6. 3.1 Data, Text, and Document Management
Data, text, and documents are strategic assets. Vast
quantities are:
• created and collected
• then stored – often in 5 or more locations
Data, text, and document management helps
companies improve productivity by insuring that
people can find what they need without having to
conduct a long and difficult search.
Copyright 2012 John Wiley & Sons, Inc.
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7. Data Management
Why does data management matter?
• No enterprise can be effective without high quality data
that is accessible when needed.
• Data that’s incomplete or out of context cannot be trusted.
• Organizations with at least 1,000 knowledge workers lose
~ $5.7 million annually in time wasted by employees
reformatting data as they move among applications.
What is the goal of data management?
• To provide the infrastructure and tools to transform raw
data into usable information of the highest quality.
Copyright 2012 John Wiley & Sons, Inc.
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8. Data Management
Why is data management difficult and expensive?
• Volume of data is increasing exponentially.
• Data is scattered throughout the organization.
• Data is created and used offline without going through
quality control checks.
• Data may be redundant and out-of-date, creating a huge
maintenance problem.
Copyright 2012 John Wiley & Sons, Inc.
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9. Data Management
Current key issues
Master data management (MDM): Processes to integrate
data from various sources and enterprise apps in order to
create a unified view of the data.
Document management system (DMS): Hardware and
software to manage, archive, and purge files and other
electronic documents (e-documents).
Green computing: Efforts to conserve natural resources
and reduce effects of computer usage on the
environment.
Copyright 2012 John Wiley & Sons, Inc.
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10. IT at Work 3.1 – Healthcare Sector
Data Errors Cost Billions of Dollars and Put Lives at Risk
Every day, healthcare administrators and others throughout
the healthcare supply chain waste 24% --30% of their time
correcting data errors.
Each incorrect transaction costs $60 to $80 to correct.
About 60% of all invoices among supply chain partners have
errors, and each invoice error costs $40 to $400 to reconcile.
Each year, billions of dollars are wasted in the healthcare
supply chain because of supply chain data disconnects.
Copyright 2012 John Wiley & Sons, Inc.
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11. IT at Work 3.1 (continued)
Data Errors Cost Billions of Dollars and Put Lives at Risk
Benefits from data synchronization in the healthcare sector
and supply chair:
• Easier and faster product sourcing because of accurate
and consistent item information
• Significantly reduces the amount of fraud or unauthorized
purchasing
• Reduces unnecessary inventories
• Lowers prices because purchase volumes became
apparent
• Improves patient safety
Copyright 2012 John Wiley & Sons, Inc.
3-11
12. Data management is a structured approach for
capturing, storing, processing, integrating, distributing, securi
ng, and archiving data effectively throughout their life cycle.
Figure 3.2 Data life cycle
Copyright 2012 John Wiley & Sons, Inc.
3-12
14. Data principles
Principle of diminishing data value. The more
resent the information, the more valuable it is
Principle of 90/90 data use: 90% of data is
seldom accessed after 90 days.
Principle of data in context. Investment in DM
infrastructure may be huge.
Copyright 2012 John Wiley & Sons, Inc.
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15. IT at Work 3.4
Check page 69
Copyright 2012 John Wiley & Sons, Inc.
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16. Transforming data into knowledge
Text mining and analytics:
• Exploration
• Preprocessing
• Categorizing and modeling
Copyright 2012 John Wiley & Sons, Inc.
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17. Data from various sources are extracted, transformed, & loaded (ETL) into a data
warehouse; then used to support functions and apps throughout the enterprise.
Figure 3.4. Model of an Enterprise Data Warehouse
Copyright 2012 John Wiley & Sons, Inc.
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18. 3.2 File Management Systems
Computer systems organize data into a hierarchy:
bits, bytes, fields, records, files, and databases
Figure 3.6 Hierarchy of data for a computer-based file.
Copyright 2012 John Wiley & Sons, Inc.
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19. Limitations of the File Environment
When organizations began using computers, they started with
one application at a time, usually accounting, billing, and payroll.
Each app was designed to be a stand-alone system, which led to
data problems.
Data problems with a file environment:
• data redundancy
• data inconsistency
• data isolation
• data security
Copyright 2012 John Wiley & Sons, Inc.
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20. • Stand-alone systems result in data
redundancy, inconsistency, and isolation.
•Database management systems helped solve the
data problems of file-based systems.
Copyright 2012 John Wiley & Sons, Inc. 3-20
21. Figure 3.10 Database management system provides access to all data in
the database.
Copyright 2012 John Wiley & Sons, Inc. 3-21
22. 3.3 Database Management Systems (DMBS)
Numerous data sources
• clickstream data from Web and e-commerce applications
• detailed data from POS terminals
• filtered data from CRM, supply chain, and enterprise
resource planning applications
DBMS permits an organization to centralize data, manage
them efficiently, and give application programs access to the
stored data.
Copyright 2012 John Wiley & Sons, Inc.
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23. 2 types of databases:
a) Centralized database
b) Distributed database with
complete or partial copies
of the central database in
more than one location
Copyright 2012 John Wiley & Sons, Inc.
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24. Functions of a Database Management System (DBMS)
Data filtering and profiling: Inspecting the data for
errors, inconsistencies, redundancies, and incomplete
information.
Data quality: Correcting, standardizing, and verifying the
integrity of the data.
Data synchronization: Integrating, matching, or linking data
from disparate sources.
Data enrichment: Enhancing data using information from
internal and external data sources.
Data maintenance: Checking and controlling data integrity
over time.
Copyright 2012 John Wiley & Sons, Inc.
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25. 3.4 Data Warehouses, Data Marts, and
Data Centers
Data warehouse: a repository in which data are organized so that
they can be readily analyzed using methods such as data
mining, decision support, querying, and other applications.
• enable managers and knowledge workers to leverage enterprise data to
make the smartest decisions
• enable OLAP (online analytic processing)
Data marts: designed for a strategic business unit (SBU) or a single
department.
Data centers: facilities containing mission-critical ISs
and components that deliver data and IT services to the enterprise.
Copyright 2012 John Wiley & Sons, Inc.
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26. Figure 3.11 Data warehouse framework and views.
Copyright 2012 John Wiley & Sons, Inc.
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27. Characteristics of a data warehouse
Organization. Data are organized by subject (e.g., by
customer, vendor, product, price level, and region), and contain
information relevant for decision support only.
Consistency. Data in different operational databases may be encoded
differently. For example, gender data may be encoded 0 and 1 in one
operational system and “m” and “f” in another. In the warehouse they will
be coded in a consistent manner.
Time variant. The data are kept for many years so they can be used for
trends, forecasting, and comparisons over time.
Nonvolatile. Once entered into the warehouse, data are not updated.
Relational. Typically the data warehouse uses a relational structure.
Client/server. The data warehouse uses the client/server architecture
mainly to provide the end user an easy access to its data.
Web-based. Today’s data warehouses are designed to provide an efficient
computing environment for Web-based applications (Rundensteiner et.
al., 2000).
Copyright 2012 John Wiley & Sons, Inc.
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29. Building an Enterprise Data Warehouse (EDW)
A company that is considering building a DW first needs to
address a series of basic questions to avoid a failure:
• Does top management support the DW?
• Do users want access to a broad range of data
• Do users want data access and analysis tools?
• Do users understand how to use the DW to solve business
problems?
• Does the unit have one or more power users who can
understand DW technologies?
Copyright 2012 John Wiley & Sons, Inc.
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31. Suitability
Data warehousing is most appropriate for organizations
that have some of the following characteristics:
End users need to access large amounts of data
Operational data are stored in different systems
The organization serves a large, diverse customer base
The same data are represented differently in different systems
Extensive end-user computing is performed
Copyright 2012 John Wiley & Sons, Inc.
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32. 3.5 Enterprise Content Management
ECM includes:
electronic document management
Web content management
digital asset management, and
electronic records management (ERM)
Copyright 2012 John Wiley & Sons, Inc.
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33. Figure 3.13 Electronic records management from creation
to retention or destruction
Copyright 2012 John Wiley & Sons, Inc.
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34. Unstructured business records
Businesses generate volumes of documents, messages, and
memos that, by their nature, contain unstructured content
that cannot be put into a database.
Many of these materials are business records that must be
retained and made available when requested by
auditors, investigators, the SEC, the IRS, or other authorities.
To be retrievable, business records must be organized and
indexed.
Records are not needed for current operations or
decisions, are archived—moved into longer-term storage.
Copyright 2012 John Wiley & Sons, Inc.
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35. Business Value of E-Records Management
Companies need to be prepared to respond to an
audit, federal investigation, lawsuit, or other legal action
against it.
• Examples of lawsuits: patent violations, fraud, product safety
negligence, theft of intellectual property, breach of contract, wrongful
termination, harassment, and discrimination
E-discovery is the process of gathering electronically stored
information in preparation for trial, legal or regulatory
investigation, or administrative action as required by law.
• When a company receives an e-discovery request, the company must
produce what is requested—or face charges of obstructing justice or
being in contempt of court.
Copyright 2012 John Wiley & Sons, Inc.
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36. Companies have incurred huge costs for not
responding to e-discovery
Failure to save e-mails resulted in a $2.75 million fine for
Phillip Morris.
Failure to respond to e-discovery requests cost Bank of
America $10 million in fines.
Failure to produce backup tapes and deleted e-mails resulted
in a $29.3 million jury verdict against UBS Warburg in the
landmark case, Zubulake v. UBS Warburg.
Copyright 2012 John Wiley & Sons, Inc.
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39. Exercise
Visit Analysis Factory at analysisfactory.com
Click view the interactive business solution
dashboards.
Select one type of dashboard and explain its
value or features.
Copyright 2012 John Wiley & Sons, Inc.
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40. Chapter 3 Link Library
Advizor Solutions, data analytics and visualization
http://advizorsolutions.com/
Clarabridge: How Text Mining Works http://clarabridge.com/
SAS Text Miner http://sas.com/
Tableau data visualization software http://tableausoftware.com/data-
visualization-software/
EMC Corp., enterprise content management http://emc.com
Oracle DBMS http://oracle.com/
Copyright 2012 John Wiley & Sons, Inc.
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