This document discusses key information resources including data, application software, technology, information specialists, users, and facilities. It describes the role of the Chief Information Officer (CIO) in managing information resources, their responsibilities, priorities, and required competencies. The document also covers strategic planning for information systems, aligning IS strategy with organizational strategy, and issues around end-user computing.
The document discusses end user computing (EUC) and its management within organizations. It defines EUC as application development done by end users rather than trained IT professionals. Key points include motivations for EUC like fast changing requirements, tools used like spreadsheets and databases, the role of information centers in providing support, and both pros and cons like relieving developer shortages but also risks to requirements and quality.
This document discusses the development of long-range plans for management information systems (MIS). It begins by explaining the importance of planning for information as a key organizational resource. It then outlines various components that should be included in an MIS plan, such as goals and objectives, development strategies, system architectures, and hardware/software plans. The document contrasts business plans with MIS plans and describes different types of information that may be required, including organizational, functional, knowledge, decision support, and operational information. It also discusses methods for determining information requirements, such as interviews, analyzing existing systems, critical success factors, and experimentation/modeling. Finally, it briefly introduces the prototype and lifecycle approaches to information system development and implementation.
The document discusses information system planning and management. It covers the following key points:
1) The overall responsibility of information system planning lies with the Chief Information Officer. The plan should be based on the organization's strategic plan.
2) The master plan consists of both long-range and short-range components. It includes an inventory of current capabilities, forecast of developments, and specific plans.
3) The master plan is reviewed by executives and integrated into the organizational plan after approval. It establishes information system policies and procedures.
This document discusses strategic issues for information systems planning (SISP) in the 1990s. It notes key business forces of globalization, competition, and productivity requirements. Strategic issues include increased connectivity within and between organizations, as well as new information technology opportunities from advances in networks, databases, and interfaces. SISP aims to align information systems with organizational objectives and strategies in a cost-effective way that provides competitive advantage. It helps prioritize investments, integrate systems, and manage information and relationships between users and IT specialists.
The document contains questions related to concepts of planning and control for information systems. It includes questions about total quality management, levels of management, importance of planning for information systems, organizational planning, business models, information technology architecture, system analysis and design, MIS development procedures, quality in information systems, acquisition of hardware/software, computer peripherals, software types, structured/unstructured decisions, information system audits, the planning process, computational support for planning, importance of control, feedback, factors for IS organization, Nolan's stage models of IS growth, and content of an IS master plan.
Structured Approach To Implementing Information And Records Management (Idrm)...Alan McSweeney
Provide an overview of a structured approach to analysis, design and specification of Information, Document and Records Management (IDRM) systems
Provide introduction to generic reference models for IDRM that can assist in solution definition
Structured IDRM methodology yields benefits in ensuring appropriate analysis, design and specification is performed ensuring requirements are captured and any solution complies with them:
Consistency
Speed
Drives Delivery
Ensures Acceptance
Increases Productivity
Increases User Confidence
Speed
Accuracy
Provides Audit Trail
Maximises Cost Savings
Risk Management and Reduction
Provides for Change Management
Provides for Formal Project Closure
Standards and reference models (OAIS) provide a mechanism for designing solutions and comparing products from vendors
Data processing in Industrial systems Course Notes 1- 3 weeksUfuk Cebeci
This document provides an overview of information systems concepts. It defines an information system as an organized combination of people, hardware, software, communications networks, and data resources that collects, transforms, and disseminates information in an organization. The document discusses the five basic components of information systems - people resources, hardware resources, software resources, data resources, and network resources. It explains that data resources are transformed through information processing activities like input, processing, output, storage and control into various information products for end users.
The document discusses end user computing (EUC) and its management within organizations. It defines EUC as application development done by end users rather than trained IT professionals. Key points include motivations for EUC like fast changing requirements, tools used like spreadsheets and databases, the role of information centers in providing support, and both pros and cons like relieving developer shortages but also risks to requirements and quality.
This document discusses the development of long-range plans for management information systems (MIS). It begins by explaining the importance of planning for information as a key organizational resource. It then outlines various components that should be included in an MIS plan, such as goals and objectives, development strategies, system architectures, and hardware/software plans. The document contrasts business plans with MIS plans and describes different types of information that may be required, including organizational, functional, knowledge, decision support, and operational information. It also discusses methods for determining information requirements, such as interviews, analyzing existing systems, critical success factors, and experimentation/modeling. Finally, it briefly introduces the prototype and lifecycle approaches to information system development and implementation.
The document discusses information system planning and management. It covers the following key points:
1) The overall responsibility of information system planning lies with the Chief Information Officer. The plan should be based on the organization's strategic plan.
2) The master plan consists of both long-range and short-range components. It includes an inventory of current capabilities, forecast of developments, and specific plans.
3) The master plan is reviewed by executives and integrated into the organizational plan after approval. It establishes information system policies and procedures.
This document discusses strategic issues for information systems planning (SISP) in the 1990s. It notes key business forces of globalization, competition, and productivity requirements. Strategic issues include increased connectivity within and between organizations, as well as new information technology opportunities from advances in networks, databases, and interfaces. SISP aims to align information systems with organizational objectives and strategies in a cost-effective way that provides competitive advantage. It helps prioritize investments, integrate systems, and manage information and relationships between users and IT specialists.
The document contains questions related to concepts of planning and control for information systems. It includes questions about total quality management, levels of management, importance of planning for information systems, organizational planning, business models, information technology architecture, system analysis and design, MIS development procedures, quality in information systems, acquisition of hardware/software, computer peripherals, software types, structured/unstructured decisions, information system audits, the planning process, computational support for planning, importance of control, feedback, factors for IS organization, Nolan's stage models of IS growth, and content of an IS master plan.
Structured Approach To Implementing Information And Records Management (Idrm)...Alan McSweeney
Provide an overview of a structured approach to analysis, design and specification of Information, Document and Records Management (IDRM) systems
Provide introduction to generic reference models for IDRM that can assist in solution definition
Structured IDRM methodology yields benefits in ensuring appropriate analysis, design and specification is performed ensuring requirements are captured and any solution complies with them:
Consistency
Speed
Drives Delivery
Ensures Acceptance
Increases Productivity
Increases User Confidence
Speed
Accuracy
Provides Audit Trail
Maximises Cost Savings
Risk Management and Reduction
Provides for Change Management
Provides for Formal Project Closure
Standards and reference models (OAIS) provide a mechanism for designing solutions and comparing products from vendors
Data processing in Industrial systems Course Notes 1- 3 weeksUfuk Cebeci
This document provides an overview of information systems concepts. It defines an information system as an organized combination of people, hardware, software, communications networks, and data resources that collects, transforms, and disseminates information in an organization. The document discusses the five basic components of information systems - people resources, hardware resources, software resources, data resources, and network resources. It explains that data resources are transformed through information processing activities like input, processing, output, storage and control into various information products for end users.
This document provides an overview of management information systems (MIS). It defines an MIS as a formalized computer system that integrates data from various sources to provide management with decision-making information. It discusses the relationship between data processing systems and MIS, and how data processing collects transactional data that serves as the database for an MIS. The document also covers levels of decision making, characteristics of information needs at different levels, types of reports generated by an MIS, and how MIS and database management systems function.
Notes On Intranet Implementation And RoadmapAlan McSweeney
The document discusses plans for implementing an intranet at an organization. It outlines objectives like providing information and enabling collaboration. It discusses types of implementations, security considerations, content management workflows, and the need for requirements analysis. Key recommendations include defining standards, using a content management system, and taking a phased implementation approach to deploy core functionality and applications over time. Success requires commitment, devolved content generation, and consistent design.
Chap 6 IMplementation of Information SystemSanat Maharjan
The document discusses the implementation of information systems and provides details on key concepts. It begins with defining what an information system is and its key components. It then discusses the types of information systems, examples of systems, and considerations for implementation in Nepal and the US. It also covers theories related to behavioral science and managing change when implementing new systems. Finally, it discusses critical success factors for information system projects and introducing next generation balanced scorecard concepts to improve performance measurement.
Creating A Business Focussed Information Technology StrategyAlan McSweeney
This presentation describes a structured approach to creating a business-focussed information technology strategy.
An effective business-oriented IT strategy is an opportunity to resolve the disconnection and to ensure the IT function is able to and does respond to business needs and is trusted by the business to provide IT solutions.
The IT strategy will consist of static structural elements relating to the organisation of the IT function:
• Capabilities – skills and abilities the IT function should possess and be able to use effectively and efficiently
• IT Function Structure – the organisation and arrangement of the sub-functions and their responsibilities and relationships
• Operating Model – how the IT function work and delivers value and the processes it implements and operates
• Staffing And Roles – the numbers of people, their roles, responsibilities, expected skills, experience and abilities, workload, reporting structures and expected ways of operating
It will also include dynamic elements relating to initiatives, both enabling initiatives within the IT function and specific business initiatives required to achieve the business strategy.
American Megatrends Knowledge Management System is a powerful and easy to use system to manage your corporate knowledgebase. AMI KMS helps organizations
to create a systematic process by which content can be created,captured, shared, and leveraged by the organization.
The document discusses information system planning and management. It covers the following key points:
1) The overall responsibility of information system planning lies with the Chief Information Officer. The plan should be based on the organization's strategic plan.
2) The master plan consists of both long-range and short-range components. It includes an inventory of current capabilities, forecast of developments, and specific plans.
3) The master plan is reviewed by executives and integrated into the organizational plan after approval. It establishes information system policies and procedures.
This document discusses key aspects of developing an IT strategy, including:
1. The importance of aligning an organization's IT strategy with its overall business strategy.
2. The process of developing an IT strategy involves analyzing the current and future IT environments, capabilities, and needs to support the business strategy.
3. IT strategies should address opportunities, threats, the IT organization, external forces, internal capabilities, and milestones to achieve the strategy.
4. Developing an effective IT strategy requires factors like revisiting the business model, getting the right people involved, balancing investment opportunities, and managing risks.
Data processing in Industrial Systems course notes after week 5Ufuk Cebeci
This document discusses database management systems and decision support systems. It begins by outlining some of the challenges with traditional information processing approaches, such as data redundancy and lack of flexibility. It then introduces database management systems as a solution, highlighting their ability to reduce redundancy and integrate related data. Key features of DBMS like logical data structures and relational models are explained. The document also covers decision support systems, noting that they provide interactive support during decision making by using analytical models, specialized databases, and the insights of decision makers. Major components of DSS like model bases are outlined.
Development and Implementation of MIS and Information requirementMd Humayun Kobir
This document summarizes a presentation on developing long-range plans for MIS. It discusses ascertaining information needs, requirements for information in MIS, and developing and implementing an MIS. It describes elements of an MIS plan like dealing with business plans, strategies, and system development schedules. It also discusses approaches to developing an MIS like the prototype and lifecycle approaches. Key steps in implementation include planning, acquiring facilities, testing the system, training personnel, and maintenance.
This document outlines the key concepts in information systems development, including the systems planning process, systems approach, strategies for acquiring applications, systems development lifecycle (SDLC), and alternative development methods. It describes the SDLC process including systems investigation, analysis, design, implementation, testing, data conversion, and training. The learning objectives are to describe the IT planning process, systems development, SDLC advantages and limitations, and alternative development methods and tools.
The document discusses the systems development process. It describes key phases in the traditional systems development life cycle (SDLC) including investigation, analysis, design, implementation, and maintenance. Effective systems development requires defining objectives and establishing requirements. Errors found later in the SDLC are more costly to fix. Common SDLC models include traditional, prototyping, rapid application development, and end-user development. Project management tools can help plan and track systems development projects.
Chapter 6 Information System-Critical Success FactorSanat Maharjan
Critical success factors (CSFs) are the key elements that must be addressed well for an information systems (IS) project or organization to succeed. Nearly 80% of IS projects fail due to going over budget and schedule without achieving their goals. Identifying CSFs can help organizations avoid such failures by focusing on a few crucial factors like top management support, user participation, clear objectives, adequate training, and effective implementation. CSFs benefit organizations and managers by helping to prioritize information needs, align IS strategy with business goals, and justify important projects.
Characterization of strategic information systemsSuresh Kumar
This document provides an overview of strategic information systems. It defines strategic systems as those that implement business strategies and directly impact an organization's competitive position in the market. The document discusses several frameworks for conceptualizing strategic systems, including Porter's value chain model and the idea that strategic systems can provide competitive advantage through lower costs, differentiation, focusing on market segments, or innovation. It provides examples of both dramatic breakthrough strategic systems as well as more incremental systems that still provide competitive benefits.
This document outlines a structured approach to implementing outsourcing from both the service provider and client organization perspectives, with a focus on cloud computing. It describes four phases of an outsourcing relationship - initiation, delivery, completion, and ongoing management. Key capabilities for each phase are also identified, such as contracting, service design, performance management, and technology management. The document provides examples of activities within each phase and capability as well as lessons learned from common outsourcing problems. The overall approach is presented as a framework to help both service providers and clients successfully establish and manage outsourcing relationships.
This document discusses using information systems to gain competitive advantage. It covers Porter's competitive forces model and strategies like cost leadership, product differentiation, and innovation. It provides examples of how companies like Walmart, Dell, and Citibank use information systems for competitive advantage through strategies like continuous inventory replenishment, mass customization, and new ways of serving customers. The document also discusses transaction processing systems, management information systems, decision support systems, and executive support systems.
The document discusses management information systems and production management. It provides definitions of MIS and production management. It lists input documents for production management and the role of MIS in production at the operational, tactical, and strategic levels. Some examples given include daily scheduling, production bottlenecks, and new plant location. Decision analysis in production management is also mentioned.
IT Strategy Assessment & Optimization - Catallysts ApproachRajanish Dass
The document discusses optimizing an organization's IT strategy through a 3-step approach:
1) Assess the business and IT context to identify opportunities for improvement.
2) Attain optimal alignment between business and IT to move towards business growth and higher IT effectiveness.
3) Evolve the IT strategy to deliver long-term growth by addressing key areas like the operating model and performance measures.
Deepak Sharma is a senior manager in IT with over 13 years of experience managing IT infrastructure, operations, networks, security, teams and projects. He currently manages the IT infrastructure and operations team for Aircom International across the APAC region. He has expertise in areas such as IT strategy, vendor management, process improvement, ITIL implementation, business analysis and data center management.
Deepak Sharma has over 12 years of experience in IT infrastructure management, operations, project management, and team leadership. He is currently a Senior Manager of IT at TEOCO Software, where he manages the IT infrastructure, operations team, and data center services for the APAC region. Prior to that, he held similar leadership roles at other companies, where he implemented ERP systems, ensured high service quality through ITIL processes, and oversaw infrastructure rollouts and upgrades.
This document provides information on becoming a data-driven business, including recognizing opportunities where big data can benefit a company. It discusses integrating big data by identifying opportunities, building future capability scenarios, and defining benefits and roadmaps. It also outlines six data business models: product innovators, system innovators, data providers, data brokers, value chain integrators, and delivery network collaborators. An example is given for each model.
This document provides an overview of management information systems (MIS). It defines an MIS as a formalized computer system that integrates data from various sources to provide management with decision-making information. It discusses the relationship between data processing systems and MIS, and how data processing collects transactional data that serves as the database for an MIS. The document also covers levels of decision making, characteristics of information needs at different levels, types of reports generated by an MIS, and how MIS and database management systems function.
Notes On Intranet Implementation And RoadmapAlan McSweeney
The document discusses plans for implementing an intranet at an organization. It outlines objectives like providing information and enabling collaboration. It discusses types of implementations, security considerations, content management workflows, and the need for requirements analysis. Key recommendations include defining standards, using a content management system, and taking a phased implementation approach to deploy core functionality and applications over time. Success requires commitment, devolved content generation, and consistent design.
Chap 6 IMplementation of Information SystemSanat Maharjan
The document discusses the implementation of information systems and provides details on key concepts. It begins with defining what an information system is and its key components. It then discusses the types of information systems, examples of systems, and considerations for implementation in Nepal and the US. It also covers theories related to behavioral science and managing change when implementing new systems. Finally, it discusses critical success factors for information system projects and introducing next generation balanced scorecard concepts to improve performance measurement.
Creating A Business Focussed Information Technology StrategyAlan McSweeney
This presentation describes a structured approach to creating a business-focussed information technology strategy.
An effective business-oriented IT strategy is an opportunity to resolve the disconnection and to ensure the IT function is able to and does respond to business needs and is trusted by the business to provide IT solutions.
The IT strategy will consist of static structural elements relating to the organisation of the IT function:
• Capabilities – skills and abilities the IT function should possess and be able to use effectively and efficiently
• IT Function Structure – the organisation and arrangement of the sub-functions and their responsibilities and relationships
• Operating Model – how the IT function work and delivers value and the processes it implements and operates
• Staffing And Roles – the numbers of people, their roles, responsibilities, expected skills, experience and abilities, workload, reporting structures and expected ways of operating
It will also include dynamic elements relating to initiatives, both enabling initiatives within the IT function and specific business initiatives required to achieve the business strategy.
American Megatrends Knowledge Management System is a powerful and easy to use system to manage your corporate knowledgebase. AMI KMS helps organizations
to create a systematic process by which content can be created,captured, shared, and leveraged by the organization.
The document discusses information system planning and management. It covers the following key points:
1) The overall responsibility of information system planning lies with the Chief Information Officer. The plan should be based on the organization's strategic plan.
2) The master plan consists of both long-range and short-range components. It includes an inventory of current capabilities, forecast of developments, and specific plans.
3) The master plan is reviewed by executives and integrated into the organizational plan after approval. It establishes information system policies and procedures.
This document discusses key aspects of developing an IT strategy, including:
1. The importance of aligning an organization's IT strategy with its overall business strategy.
2. The process of developing an IT strategy involves analyzing the current and future IT environments, capabilities, and needs to support the business strategy.
3. IT strategies should address opportunities, threats, the IT organization, external forces, internal capabilities, and milestones to achieve the strategy.
4. Developing an effective IT strategy requires factors like revisiting the business model, getting the right people involved, balancing investment opportunities, and managing risks.
Data processing in Industrial Systems course notes after week 5Ufuk Cebeci
This document discusses database management systems and decision support systems. It begins by outlining some of the challenges with traditional information processing approaches, such as data redundancy and lack of flexibility. It then introduces database management systems as a solution, highlighting their ability to reduce redundancy and integrate related data. Key features of DBMS like logical data structures and relational models are explained. The document also covers decision support systems, noting that they provide interactive support during decision making by using analytical models, specialized databases, and the insights of decision makers. Major components of DSS like model bases are outlined.
Development and Implementation of MIS and Information requirementMd Humayun Kobir
This document summarizes a presentation on developing long-range plans for MIS. It discusses ascertaining information needs, requirements for information in MIS, and developing and implementing an MIS. It describes elements of an MIS plan like dealing with business plans, strategies, and system development schedules. It also discusses approaches to developing an MIS like the prototype and lifecycle approaches. Key steps in implementation include planning, acquiring facilities, testing the system, training personnel, and maintenance.
This document outlines the key concepts in information systems development, including the systems planning process, systems approach, strategies for acquiring applications, systems development lifecycle (SDLC), and alternative development methods. It describes the SDLC process including systems investigation, analysis, design, implementation, testing, data conversion, and training. The learning objectives are to describe the IT planning process, systems development, SDLC advantages and limitations, and alternative development methods and tools.
The document discusses the systems development process. It describes key phases in the traditional systems development life cycle (SDLC) including investigation, analysis, design, implementation, and maintenance. Effective systems development requires defining objectives and establishing requirements. Errors found later in the SDLC are more costly to fix. Common SDLC models include traditional, prototyping, rapid application development, and end-user development. Project management tools can help plan and track systems development projects.
Chapter 6 Information System-Critical Success FactorSanat Maharjan
Critical success factors (CSFs) are the key elements that must be addressed well for an information systems (IS) project or organization to succeed. Nearly 80% of IS projects fail due to going over budget and schedule without achieving their goals. Identifying CSFs can help organizations avoid such failures by focusing on a few crucial factors like top management support, user participation, clear objectives, adequate training, and effective implementation. CSFs benefit organizations and managers by helping to prioritize information needs, align IS strategy with business goals, and justify important projects.
Characterization of strategic information systemsSuresh Kumar
This document provides an overview of strategic information systems. It defines strategic systems as those that implement business strategies and directly impact an organization's competitive position in the market. The document discusses several frameworks for conceptualizing strategic systems, including Porter's value chain model and the idea that strategic systems can provide competitive advantage through lower costs, differentiation, focusing on market segments, or innovation. It provides examples of both dramatic breakthrough strategic systems as well as more incremental systems that still provide competitive benefits.
This document outlines a structured approach to implementing outsourcing from both the service provider and client organization perspectives, with a focus on cloud computing. It describes four phases of an outsourcing relationship - initiation, delivery, completion, and ongoing management. Key capabilities for each phase are also identified, such as contracting, service design, performance management, and technology management. The document provides examples of activities within each phase and capability as well as lessons learned from common outsourcing problems. The overall approach is presented as a framework to help both service providers and clients successfully establish and manage outsourcing relationships.
This document discusses using information systems to gain competitive advantage. It covers Porter's competitive forces model and strategies like cost leadership, product differentiation, and innovation. It provides examples of how companies like Walmart, Dell, and Citibank use information systems for competitive advantage through strategies like continuous inventory replenishment, mass customization, and new ways of serving customers. The document also discusses transaction processing systems, management information systems, decision support systems, and executive support systems.
The document discusses management information systems and production management. It provides definitions of MIS and production management. It lists input documents for production management and the role of MIS in production at the operational, tactical, and strategic levels. Some examples given include daily scheduling, production bottlenecks, and new plant location. Decision analysis in production management is also mentioned.
IT Strategy Assessment & Optimization - Catallysts ApproachRajanish Dass
The document discusses optimizing an organization's IT strategy through a 3-step approach:
1) Assess the business and IT context to identify opportunities for improvement.
2) Attain optimal alignment between business and IT to move towards business growth and higher IT effectiveness.
3) Evolve the IT strategy to deliver long-term growth by addressing key areas like the operating model and performance measures.
Deepak Sharma is a senior manager in IT with over 13 years of experience managing IT infrastructure, operations, networks, security, teams and projects. He currently manages the IT infrastructure and operations team for Aircom International across the APAC region. He has expertise in areas such as IT strategy, vendor management, process improvement, ITIL implementation, business analysis and data center management.
Deepak Sharma has over 12 years of experience in IT infrastructure management, operations, project management, and team leadership. He is currently a Senior Manager of IT at TEOCO Software, where he manages the IT infrastructure, operations team, and data center services for the APAC region. Prior to that, he held similar leadership roles at other companies, where he implemented ERP systems, ensured high service quality through ITIL processes, and oversaw infrastructure rollouts and upgrades.
This document provides information on becoming a data-driven business, including recognizing opportunities where big data can benefit a company. It discusses integrating big data by identifying opportunities, building future capability scenarios, and defining benefits and roadmaps. It also outlines six data business models: product innovators, system innovators, data providers, data brokers, value chain integrators, and delivery network collaborators. An example is given for each model.
Knowledge Management, Business Intelligence & Business Analytics - Managemen...FaHaD .H. NooR
This document discusses knowledge management, business intelligence, and business analytics. It defines each term and explains their relationships. Knowledge management involves processes to generate, capture, codify, and transfer knowledge across an organization. Business intelligence uses data to understand and analyze business performance using technologies like reporting and dashboards. Business analytics refers specifically to using quantitative models and fact-based management to drive decisions, and is considered a subset of business intelligence. The document also discusses the differences between tacit and explicit knowledge, and how knowledge management can provide value to organizations in areas like sharing best practices, managing globalization, rapid change, downsizing, and gaining competitive advantage.
This document discusses organizational planning and the transition to e-business. It covers topics like strategic planning, tactical planning, operational planning, SWOT analysis, business models, competitive strategies, value chains, technology architecture, and overcoming resistance to change. The key challenges of implementing e-business include security, defining scope, budgeting time and money, data quality, user adoption, technical expertise, and cultural changes. Success requires education, user involvement, management commitment, and addressing people factors which are the most difficult to resolve.
Tips --Break Down the Barriers to Better Data AnalyticsAbhishek Sood
1) Analytics executives face challenges in collecting, analyzing, and delivering insights from data due to a lack of skills, cultural barriers, IT backlogs, and productivity drains.
2) Legacy systems and complex analytics platforms also impede effective data use. Modular solutions that integrate with existing systems and empower self-service are recommended.
3) The document promotes the Statistica software as addressing these challenges through its ease of use, integration capabilities, and support for big data analytics.
The success of implementing technology and dealing business changes across the enterprise has never been more critical to a company’s market relevance, financial growth and employee productivity. As companies grow in either size, service and product offerings or complexity, the increased demand to deliver consistent high quality support becomes more and more challenging. Knowledge Management (KM) has the power to transform the way services are delivered and experienced by both the valued customer and the productive employee as business is conducted on a daily basis. Organizations continuing to struggle with measuring sustainable business benefits from implementing technology and business change will benefit greatly from the industry lessons learned from successful KM implementations. Peter McGarahan, a support industry analyst and expert, will share his experiences and thought leadership on successfully implementing KM to support and enable technology and business change across the enterprise. Peter will provide lessons learned and recommended practices from his Service Delivery and Knowledge Management (KM) consulting experience that will change your perspective on how to do Knowledge right! Attendees will gain valuable insights into the following aspects of the topic:
• How Service leaders can best position and leverage knowledge for any technology and business change
• How to best approach planning for your next enterprise technology and business rollout with the end-result in mind
• Assessing your organizational maturity, identifying and addressing the gaps in performance to deliver a consistently better customer experience for customers and employees
• Introducing Knowledge-Centered Support (KCS) best practices into your service and support environment to address resolving issues, answering questions and fulfilling requests
Report on strategic rules of Information System for changing the bases of com...Md. Khukan Miah
Achieving advantages requires broad IS management and user dialogue plus imagination. The process is complicated by the fact that many IS products are strategic though the potential benefits are very subjective and not easily verified. Often a strict ROI focus by senior management may turn attention toward narrow, well-defined targets as opposed to broader strategic opportunities that are harder to analyze.
This article describes 10 Architecture Solution Design principles to help organization focus their solution architecture teams around simple but effective design criteria.
This document discusses how business intelligence can benefit financial institutions. It defines business intelligence and describes how it involves collecting and analyzing data to improve business decisions. It then provides examples of how business intelligence can help various parts of the financial industry, including retail banking, insurance, and investment banking, by identifying profitable customers, optimizing marketing, reducing costs and risks, and improving customer service.
This document discusses business intelligence (BI) in financial institutions. It defines BI as gathering meaningful information to help with analysis and conclusions. An ideal BI system gives employees easy access to needed information and the ability to analyze and share it. The document contrasts traditional reporting with BI and analytic applications. It also discusses identifying BI opportunities by evaluating where it could improve decision making. The benefits of BI include improved operational and strategic decisions from timely information. The document outlines the layers of a BI infrastructure from operational data to delivering intelligence to users.
Vertex aims to establish an analytical data repository and business intelligence program to extract value from information silos. The summary proposes a strategic framework with the following elements:
1. Establish a BI Competency Center to provide leadership and governance over the program.
2. Implement a BI Foundation consisting of standards, skills, processes, and technologies to evolve the organization from being data-constrained to information-enabled.
3. Take an incremental approach, first addressing current needs while building capabilities to support more advanced, strategic analytics and proactively manage the business over time.
The document discusses an enterprise architecture strategy with five key elements:
1. Customer relationship management and data integration
2. People, process, governance and a technical integration framework
3. Analytics, business intelligence, data quality, and master data management
4. Enterprise performance management with operational and analytical requirements
5. Integration across business processes, locations, applications, and data
how to successfully implement a data analytics solution.pdfbasilmph
The adoption of data analytics in business has demonstrated a transformative power in modern entrepreneurship. By analyzing vast reservoirs of data, businesses can make informed decisions, optimize operations and predict trends, thus fueling growth.
This document provides an overview of IT strategy and governance for executives. It discusses the importance of aligning IT with business strategy and having proper governance structures in place. Key points include:
- IT strategy should define how technology will support business goals and priorities through investments, applications, and infrastructure.
- IT governance ensures IT goals are met, risks mitigated, and value delivered to business. It focuses on strategic alignment, value delivery, risk management, resource management, and performance.
- Common pitfalls of IT strategy include lack of ownership, not tracking progress, failing to realize ROI, and not having proper governance structures.
- Strong IT governance with board oversight and an IT steering committee is needed to successfully
Presentation1 & 2 Teofilo kisanji UniversityITNet
The document discusses the systems development life cycle (SDLC) which includes planning, analysis, design, implementation, and support phases. In the planning phase, the business need for the system is identified and a feasibility study is conducted. Requirements are gathered in the analysis phase. The design phase decides how the system will operate in terms of hardware, software, and user interfaces. In the implementation phase, the system is built, tested, installed, and trained on. The final support phase maintains and enhances the system after initial installation. The role of the systems analyst is also discussed who works through each phase of the SDLC.
This document outlines the program learning outcomes for the B412 - Analytics for Business Decision Making program. The goal of the program is to prepare students to analyze various data to assist multi-faceted business decision making through developing skills in data analysis, programming, statistics, and databases. The vocational program learning outcomes include extracting, transforming, and loading data to support problem solving and decision making, developing predictive models using operational and marketing data, and effectively communicating analytics results to support business decision making.
Information systems strategy management: positioningDaniel Piret
The positioning adopted by the company, ideally by means of an explicit senior management decision, is probably the most important step to be taken in executing any information systems strategy. For more information: http://www.itmplatform.com/en/blog/2012/10/15/information-systems-strategy-positioning
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
17 Must-Do's to Create a Product-Centric IT OrganizationCognizant
This document discusses transforming an IT organization into a product-centric model. It provides 17 "plays" or steps to take including establishing a CXO steering committee, identifying key business capabilities and mapping them to product lines, strengthening the business-IT partnership, defining new product-centric roles, aligning the IT organizational structure around products rather than projects, starting enablement programs to build a product-centric culture, and establishing communities of practice. The goal is to align the people, processes, and platforms dimensions around a product mindset and ways of working like Agile and DevOps to better deliver customer value and business outcomes.
The document discusses various aspects of management and information systems. It defines management as comprising processes like planning, organizing, controlling and decision making. It then outlines the key components of an information system, including mission, objectives, goals, strategies, policies, programs, procedures and how they relate to management functions. Finally, it describes different types of information systems like transaction processing systems, office automation systems, decision support systems, management information systems and executive support systems.
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2. Types of Information resources
Key Information Resources
➢ Data
➢ Application Software
➢ Technology (Hardware, System Software, Communications)
➢ Information Specialists
➢ Users
➢ Facilities / infrastructure
Information should be treated as a resource by the organization at all levels. This will
enable firms to think about acquiring, protecting and utilizing appropriately
3. Role of IT
Key issues in managing information systems are:
1. To avoid organization level disruptions due to glitches in information technology
(failures resulting from hardware, software or networks)
2. To evaluate whether benefits promised by Information system projects are
realized
3. To ensure developments in technology are monitored and exploited for the
benefit of the organization
4. Being custodian of data and ensure security of data and availability as needed and
maintaining archival data (however ownership of data lies with organization
management)
4. Who manages information resources
Information resources have become very valuable and responsibility cannot be
delegated to lower level managers. It has now become responsibility of all managers.
However, there is a role created called Chief Information Officer who’s responsibilities
are as follows:
● Spend Time with business & in Business Training.
● Learn the Business not just the Technology.
● Build Partnership with business units & Line Management.
● Take Initiative ,do not wait to be Invited.
● Explain IS costs in business terms
● Build credibility by delivering reliable IS service.
● Be Non -Defensive
5. CIO Priorities
Outward looking:
● Align with Business strategy
● Provide/improve information access
● Enhance customer service
● Support Business Process reengineering
● Educate users about IT services
● Facilitate improvement in product quality
● Facilitate improvement in productivity of
the organization
Inward looking:
● Evaluate state-of-the-art technologies
● Implement state-of-the-art technology
● Implement standard systems and processes
● Implement standard architecture
● Achieve interoperability amongst different
systems
● Move to ‘open’ system technologies
● Implement distributed processing
● Reduce IT expenditure
● Centralize procurement
6. Competencies of a CIO
● Group decision making
● Conflict resolution
● Business domain knowledge
● Risk analysis
● Negotiations
● Change management
● Teamwork behaviours
● Metrics and measurements of s/w items
● Customer focus
● Quality focus and process definition
● Strategic alignment
● Project Management
7. Managing IT teams
● Software development takes place in organizations with flat structure, less
bureaucracy and participative culture
● Empowerment, decentralized decision making and self-determining process (read
Agile development)
● Managing cross-cultural teams is challenging due to differences in culture,
language and geography (not located at the same place; in different timezones)
● People management skills are as important as functional and technical skills
● Importance of team-building skills increase for a project in forming, norming and
disbanding teams
● Leadership skills are essential and need to be cultivated early on.
8. Strategic planning and information system
● Information system planning is essential for gaining competitive advantage
● IS planning should be based on the organizational strategic plan
● IS strategy should be aligned with organization strategy
● IS plan essentially is how various information resources are going to be used to
support organization goals and processes. For example,
a. If organization goal is to produce high quality widgets then organizational strategy would be to
establish quality control program for the widgets. Information system strategy should then be to
establish QC database
b. If organization objective is to implement quality circles, Information system objective would be
implement QC reports to suit quality circles and provide access to QC database to quality circle
members
9. Strategies from Porter’s model
Three generic strategies suggested by Porter are:
1. Overall cost leadership: Here IS can contribute either in reducing cost directly or
enhance ability to reduce cost (may be by supply chain efficiency)
2. Overall differentiation: IS can contribute in adding unique features to the product
or service or enhance ability to do so.
3. Focus/Niche: IS can help in environment monitoring to identify and create
market niche or enable such capability through some functions
11. Strategic thrust table
The table is an example of how an organizations can analyse. By asking following
questions, an organization fill the boxes to build the strategy appropriate for them.
1. What are our strategic targets ? [ Customers, Suppliers, Competitor]
2. What strategic thrust can be used against the targets ? [5 rows shown in table]
3. What strategic mode can be used ? Offensive or defensive
4. What direction of thrust can be used ? [Usage or Provision]
5. What skills can we use ? [processing, storage, transmission]
12. Strategic set transformation
1. Define business
strategy set
2. Validate and get
approval
3. Each element of
strategy is taken and
equivalent IT strategy
identified
4. This shapes the
overall infrastructure
architecture and
business strategy
13. Richard Nolan’s evolutionary model
Nolan’s stage model provides a framework for IS planning that matches various
features of IS to different stages of growth. An organization progress through 6 stages:
➔ Stage 1: Technology is introduced in the organization
➔ Stage 2: This is a period of rapid uncontrolled growth of variety of applications
➔ Stage 3: Organization gains control over technology resources, implements formal
controls and standards
➔ Stage 4: Use of new technology, emphasis on integration of systems
➔ Stage 5: Recognize that data handled by systems is very important and focus on
data administration
➔ Stage 6: Maturity phase where planning is well established and alignment to
business achieved
15. Modern approach to strategic planning
● It articulate organizational identity and business model from elements such as
your organization’s geographic, programmatic and customer scope, as well as
your organization’s competitive advantage and market conditions.
● Use informal and formal market research techniques to gather and analyze
intelligence from a variety of stakeholders, including clients, competitors and
employees.
● Helps to create an environment in which ongoing decisions are made from a
strategic perspective
● Support decision-making that builds on organization's values, mission, and vision
● Identify and focus on the top opportunities and challenges facing within
organization.
● Develop complete business plans to serve as a blueprint for future.
16. Framework for managing information technology
Vision for the Organization and
Information technology
IT and Organization structure
Integration of IT and Decision
making
Corporate Strategy PlanStrategy
Alliances &
Partnerships
Ongoing IT
operationsIT InfrastructureIT initiatives
17. Framework terms
1. IT & decision making - Management awareness how new technology can create
opportunities results in integrating decision making with technology
2. Corporate plan - A corporate strategic plan comes from the firm's vision for its
future activities which includes IT
3. Alliances and partnerships - Various types like Intel and Microsoft
4. New IT initiatives - As technology advances stimulates new ideas. The corporate
strategic plan should identify broad areas in which technology can contribute to
the firm.
5. IT infrastructure - includes network, building and other facilities
6. Ongoing IT - developing new apps and operating existing apps
18. End-user Computing
● End-user computing (EUC) refers to systems in which non-programmers can
create working applications.EUC is a group of approaches to computing that aim
at better integrating end users into the computing environment.
● End-user-developed computer-based information systems for personal,
departmental or organisation-wide use, where the end-user is a non-IT
professional.
● Today’s end-users have a broad array of computing tools at their disposal, from
mobile devices to productivity apps to cloud services.
● The end-user has a great deal of control over how these tools are accessed and
used and where data is stored
*End users are also referred to as knowledge workers in some books
19. Need for proper approach to EUC
The user-centric approach to IT gives employees greater flexibility, creating an
environment that facilitates productivity, agility, responsiveness and collaboration.
However, offering more control and more options to the end-user introduces more
variables, complexity and headaches for IT departments that must support an ever-
broader array of devices and applications.
Without a thoughtful approach to EUC, end-users may use the wrong tools, the right
tools incorrectly, or unapproved applications to do their jobs. This will hamper
productivity, increase costs and impact customer service. Worse, if end-users don’t
follow company policies or IT best practices, you may face serious risks related to
security, regulatory compliance and data governance
20. Issues with EUC
Initial issues with end-user computing are concerned with documentation, backups of data and security related.
Support and education/training to end-user community became necessary for IT. However, critical issues with
EUC were found to be:
1. Security & Integrity: While IT department has good control on database, with EUC several databases
with often conflicting data can result in threat to security and integrity and chaos
2. Database access to PCs: Providing access to centralized to individual managers desktop systems. An issue
of which is ‘private’ data and which is organization data will arise. Greater control on shared data is
needed
3. Education: about data security, compliance and integrity will be required for end-users as well as
stringent policies and actions need to be taken by management to avoid data security
4. Information services: IT has additional role to support end-users with technical consulting
5. Top-level planning: There is a need for top-management to recognize and include EUC as part of
information revolution
21. Expansion and control strategy for EUC
End-user computing expands in an organization, control has to be in place:
1. Laissez-faire – this is the ‘no policy’ situation. EUC is neither encouraged nor
controlled.
2. Containment – here there is a high level of control, EUC is channelled.
3. Acceleration – EUC is encouraged with very little control, high risks involved.
4. Controlled Growth – policies are put in place both to encourage expansion and at
the same time controlled growth. This is a situation in which the roles of the end-
users and the computer centre are clearly specified.