This document outlines 10 principles for effective information management projects based on common challenges organizations face. It discusses that information management involves people, processes, technology, and content. Effective information management recognizes the inherent complexity in organizations and delivers solutions through many small, parallel activities rather than simple or standardized approaches. It emphasizes focusing on user adoption, delivering tangible benefits, prioritizing based on business needs, strong leadership, risk mitigation, extensive communication, and seamless user experience. The first project should also be chosen carefully to set the project up for success.
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
Information management is concerned with the infrastructure used to collect, manage, store, and deliver information, as well as guiding principles to make information available to the right people at the right time. It encompasses people, processes, technology, and content. The purpose of information management is to design, develop, manage, and use information with insight and innovation to support decision making. It involves gathering information from various sources and organizing it through different stages from tagging to structuring and archiving. Managing information successfully requires competencies across several knowledge and process areas. Common challenges organizations face include disparate systems, lack of integration, outdated legacy systems, and poor information quality.
Data-Ed Online: Data Management Maturity ModelDATAVERSITY
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization's data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Takeaways:
Our profession is advancing its knowledge and has a wide spread basis for partnerships
New industry assessment standard is based on successful CMM/CMMI foundation
Clear need for data strategy
A clear and unambiguous call for participation
About the Speakers
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.
Capital Planning And Investment Management And Control In Information TechnologyAlan McSweeney
This document discusses capital planning and investment control for information technology (CPIC-IT). It provides an overview of CPIC-IT and how it is a structured process for managing risks and returns associated with IT investments. It ensures investments are implemented on time and within budget, and contribute to improved organizational performance. The document also covers topics like IT investment management, cost estimation, and analyzing IT investments. Overall it provides information on applying a systematic approach to managing IT investments through their entire lifecycle.
Whitepaper Practical Information Technology GovernanceAlan McSweeney
The document discusses implementing effective IT governance. It describes how IT governance creates a framework for effective IT management and decision making aligned with business objectives. COBIT is presented as a flexible IT governance framework that incorporates other best practice standards. Implementing IT governance using COBIT can provide quick wins such as ensuring IT priorities align with business priorities and developing metrics to demonstrate IT's business value. COBIT's process structure and control objectives provide a practical approach for translating IT governance principles into implementation.
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
Information management is concerned with the infrastructure used to collect, manage, store, and deliver information, as well as guiding principles to make information available to the right people at the right time. It encompasses people, processes, technology, and content. The purpose of information management is to design, develop, manage, and use information with insight and innovation to support decision making. It involves gathering information from various sources and organizing it through different stages from tagging to structuring and archiving. Managing information successfully requires competencies across several knowledge and process areas. Common challenges organizations face include disparate systems, lack of integration, outdated legacy systems, and poor information quality.
Data-Ed Online: Data Management Maturity ModelDATAVERSITY
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization's data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Takeaways:
Our profession is advancing its knowledge and has a wide spread basis for partnerships
New industry assessment standard is based on successful CMM/CMMI foundation
Clear need for data strategy
A clear and unambiguous call for participation
About the Speakers
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.
Capital Planning And Investment Management And Control In Information TechnologyAlan McSweeney
This document discusses capital planning and investment control for information technology (CPIC-IT). It provides an overview of CPIC-IT and how it is a structured process for managing risks and returns associated with IT investments. It ensures investments are implemented on time and within budget, and contribute to improved organizational performance. The document also covers topics like IT investment management, cost estimation, and analyzing IT investments. Overall it provides information on applying a systematic approach to managing IT investments through their entire lifecycle.
Whitepaper Practical Information Technology GovernanceAlan McSweeney
The document discusses implementing effective IT governance. It describes how IT governance creates a framework for effective IT management and decision making aligned with business objectives. COBIT is presented as a flexible IT governance framework that incorporates other best practice standards. Implementing IT governance using COBIT can provide quick wins such as ensuring IT priorities align with business priorities and developing metrics to demonstrate IT's business value. COBIT's process structure and control objectives provide a practical approach for translating IT governance principles into implementation.
Data Privatisation, Data Anonymisation, Data Pseudonymisation and Differentia...Alan McSweeney
This document discusses various approaches to ensuring data privacy when sharing data, including anonymisation, pseudonymisation, and differential privacy. It notes that while data has value, sharing data widely raises privacy risks that these technologies can help address. The document provides an overview of each technique, explaining that anonymisation destroys identifying information while pseudonymisation and differential privacy retain reversible links to original data. It argues these technologies allow organisations to share data and realise its value while ensuring compliance with privacy laws and regulations.
Maximising The Value and Benefits of Enterprise ArchitectureAlan McSweeney
This document discusses enterprise architecture (EA), including:
1) The benefits of EA such as aligning IT with business strategy and reducing IT complexity.
2) The key elements of EA including business, data, applications, and technology architectures.
3) How effective EA implementation and management can standardize systems and infrastructure, lower costs, and improve business agility.
Introduction to DCAM, the Data Management Capability Assessment ModelElement22
DCAM is a model to assess data management capability within the financial industry. It was created by the EDM Council. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239.
White Paper - The Business Case For Business IntelligenceDavid Walker
This white paper looks at the business case that should lie behind the decision to build a data warehouse and provide a business intelligence solution.
There are three primary drivers for making the investment in a business intelligence solution
1. Measurement and management of the business process
2. Analysis of why things change in the business in order to react better in the future
3. Providing information for stakeholders
As a consequence of the investment there will also be a number of secondary benefits that will help to justify the investment and these are also discussed. Finally there are a number of ‘anti-drivers’ – reasons for not embarking on a business intelligence programme.
Review of Information Technology Function Critical Capability ModelsAlan McSweeney
IT Function critical capabilities are key areas where the IT function needs to maintain significant levels of competence, skill and experience and practise in order to operate and deliver a service. There are several different IT capability frameworks. The objective of these notes is to assess the suitability and applicability of these frameworks. These models can be used to identify what is important for your IT function based on your current and desired/necessary activity profile.
Capabilities vary across organisation – not all capabilities have the same importance for all organisations. These frameworks do not readily accommodate variability in the relative importance of capabilities.
The assessment approach taken is to identify a generalised set of capabilities needed across the span of IT function operations, from strategy to operations and delivery. This generic model is then be used to assess individual frameworks to determine their scope and coverage and to identify gaps.
The generic IT function capability model proposed here consists of five groups or domains of major capabilities that can be organised across the span of the IT function:
1. Information Technology Strategy, Management and Governance
2. Technology and Platforms Standards Development and Management
3. Technology and Solution Consulting and Delivery
4. Operational Run The Business/Business as Usual/Service Provision
5. Change The Business/Development and Introduction of New Services
In the context of trends and initiatives such as outsourcing, transition to cloud services and greater platform-based offerings, should the IT function develop and enhance its meta-capabilities – the management of the delivery of capabilities? Is capability identification and delivery management the most important capability? Outsourced service delivery in all its forms is not a fire-and-forget activity. You can outsource the provision of any service except the management of the supply of that service.
The following IT capability models have been evaluated:
• IT4IT Reference Architecture https://www.opengroup.org/it4it contains 32 functional components
• European e-Competence Framework (ECF) http://www.ecompetences.eu/ contains 40 competencies
• ITIL V4 https://www.axelos.com/best-practice-solutions/itil has 34 management practices
• COBIT 2019 https://www.isaca.org/resources/cobit has 40 management and control processes
• APQC Process Classification Framework - https://www.apqc.org/process-performance-management/process-frameworks version 7.2.1 has 44 major IT management processes
• IT Capability Maturity Framework (IT-CMF) https://ivi.ie/critical-capabilities/ contains 37 critical capabilities
The following model has not been evaluated
• Skills Framework for the Information Age (SFIA) - http://www.sfia-online.org/ lists over 100 skills
This document contains slides from a lecture on information management. It discusses key topics like the importance of information in today's organizations, challenges of information overload and management, how information supports business processes, and the relationships between data, information, and knowledge. It also provides examples and definitions to illustrate information management concepts. The final slides discuss knowledge management and common problems organizations face with knowledge management initiatives.
Information management and enterprise architecturenvvrajesh
The document discusses practical enterprise information management. It describes EIM as managing data in all forms as a strategic asset. A good EIM program results in integrated, accurate and timely enterprise data through policies, frameworks, technologies and processes. These include data models, data lineage, data quality, data profiling and stewardship. The document recommends aligning EIM with enterprise architecture and developing conceptual, logical and physical data models across three layers to support the information architecture.
The document discusses utility computing and how organizations can transition to a utility model for information technology services. Under a utility model, users access computing resources on demand and pay based on usage, replacing traditional capital costs. While this model has similarities to older computer bureau services, it also includes storage, data transmission, and service management. For organizations to successfully adopt utility IT services, they must understand their current and future costs to implement an accurate cost recovery payment model.
The Belgian Railways Journey to Enterprise Information ManagementStephane Haelterman
Agendat: Introduction, Definition, Motivation, Information Management, Framework, Dimensions, Inventory, Strategy, Corporate objectives, Value, Return-On-Investment, Aproach, Information Governance, Information Architecture, Unstructured data management, Information Security, Communication channels, Next Step.
The document discusses the need for a comprehensive data governance program to address challenges organizations face from increasingly complex systems, siloed projects, a lack of focus on data management, hidden and persistent data quality issues, and data being fit for the original purpose rather than future uses. It proposes a new "Information Development" competency model is required to define an enterprise-wide governance program that can effectively address these challenges in a manageable way while still fostering innovation. The document outlines moving from a focus on data governance to information governance with this new competency model and solution offering.
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...DATAVERSITY
A Data Management Maturity Model Case Study
Ally Financial Inc., previously known as GMAC Inc., is a bank holding company headquartered in Detroit, Michigan. Ally has more than 15 million customers worldwide, serving over 16,000 auto dealers in the US. In 2009 Ally Bank was launched – at present it has over 784,000 customers, a satisfaction score of over 90%, and has been named the “Best Online Bank” by Money magazine for the last four years.
Ally was an early adopter of the DMM, conducting a broad-based evaluation of its data management practices, and creating a strategy and sequence plan for improvements based on the results. Ally’s implementation of an integrated, organization-wide data management program including data governance, a robust data quality program, and managed data standards, resulted in a “Satisfactory” rating on its latest regulatory audit.
In this webinar, you will learn:
How Ally employed the DMM to evaluate its data management practices
Who was involved / lessons learned
How Ally prioritized and sequenced data management improvement initiatives
How the data management program has been enhanced and expanded
Business impacts and benefits realized
Major initiatives completed and underway
How Ally is leveraging DMM 1.0 to proactively prepare for BCBS 239 compliance.
The document discusses the key concepts of information management. It begins by defining data and how it is transformed into information. It then discusses definitions of information and management, and how information management originated from fields like archives, records management, and librarianship. It also notes the influence of information technology. The document outlines the importance of information management and its goals, strategies, elements, lifecycle, resources, and tools. It discusses access, privacy, security and relevant laws. Finally, it concludes with questions for further discussion.
This document discusses decision support systems and business intelligence. It provides learning objectives about understanding decision making in turbulent business environments and the need for computerized support. It describes early frameworks for decision support and the evolution of decision support systems into modern business intelligence approaches. Key concepts covered include structured vs. unstructured decisions, decision support system architectures, and the goals and components of business intelligence systems.
More Information:
https://flevy.com/browse/business-document/effective-staff-suggestion-system-kaizen-teian-157
BENEFITS OF DOCUMENT
Implement a strategy and mechanism to generate a constant flow of ideas.
Simplify the evaluation system to speed up the suggestions feedback process.
Learn effective approaches to develop creativity and improve participation rates.
DOCUMENT DESCRIPTION
Effective Staff Suggestion System is based on Kaizen Teian -- the Japanese-style proposal system for continuous improvement -- is the most direct and effective method for channeling employees' creative energies and hands-on insight.
This presentation focuses on the management, guidance, and development of an effective suggestion system. It explains the key aspects of running a suggestion system or proposal program on a day-to-day basis. This concise reference outlines the policies that support a "bottom-up" system of innovation and defines the three main objectives of a successful suggestion system: to build participation, develop individuals' skills, and achieve higher profits.
This comprehensive guide teaches the methods to plan, implement and sustain the program. It teaches strategy, mechanism, roles, process, and how employees should write good ideas.
LEARNING OBJECTIVES
1. Understand the key elements of a suggestion system
2. Define how to plan and launch an effective suggestion system
3. Describe how to set up a strategy and mechanism to generate ideas, capture quality ideas, evaluate ideas and sustain a constant flow of ideas
4. Explain how to develop employees to identify opportunities for improvement and write good quality ideas
5. Define success factors for sustaining a suggestion system
CONTENTS
1. Introduction to Kaizen
2. Introduction & Basic Concepts of a Suggestion System
3. Scope of Suggestions
4. Goals of a Suggestion System
5. Planning & Launching a Suggestion System
6. Roles & Responsibilities
7. The Suggestions Process
8. Evaluation & Award Systems
9. Examples of Effective Procedures
10. Techniques for Developing Creativity
11. Examples of Ideas for Improvement
12. Points for Improvement
13. Ways to Develop "Kaizen Eyes"
14. How to Sustain a Suggestion System
Got a question about this presentation? Email us at support@flevy.com.
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.
Solution Architecture and Solution AcquisitionAlan McSweeney
This describes a systematised and structured approach to solution acquisition or procurement that involves solution architecture from the start. This allows the true scope of both the required and subsequently acquired solution are therefore fully understood. By using such an approach, poor solution acquisition outcomes are avoided.
Solution architecture provides the structured approach to capturing all the cost contributors and knowing the true solution scope.
There is more packaged/product/service-based solution acquisition activity. There is an increasing trend of solutions hosted outside the organisation. Meanwhile solution acquisition outcomes are poor and getting worse.
Poor solution acquisition has long-term consequences and costs.
The to-be-acquired solution needs to operate in and co-exist with an existing solution topography and the solution acquisition process needs to be aware of and take account of this wider solution topography. Cloud-based or externally hosted and provided solutions do not eliminate the need for the solution to exist within the organisation solution topography.
Strategic misrepresentation in solution acquisition is the deliberate distortion or falsification of information relating to solution acquisition costs, complexity, required functionality, solution availability, resource availability, time to implement in order to get solution acquisition approval. Strategic misrepresentation is very real and its consequences can be very damaging.
Solution architecture has the skills and experience to define the real scope of the solution being acquired. An effective structured solution acquisition process, well-implemented and consistently applied, means dependable and repeatable solution acquisition and successful outcomes.
A Data Management Maturity Model Case StudyDATAVERSITY
This document provides an overview of the Data Management Maturity (DMM) model and its ecosystem. It introduces the presenters and describes the development of the DMM model over 3.5 years with input from 50+ authors and 70+ peer reviewers. The DMM is designed to help organizations evaluate and improve their data management capabilities through a structured assessment and benchmarking approach. It describes the DMM structure, levels, and themes and outlines upcoming certification programs, products, and events to support widespread adoption of the DMM model.
Notes on an ITO Appliance Approach to Productising and Industrialising IT Out...Alan McSweeney
The document describes an approach to productizing and industrializing IT outsourcing (ITO) through the use of an ITO appliance. The ITO appliance would be a standardized, packaged set of processes and systems to support the delivery of ITO services consistently. This would enable a repeatable and modular ITO solution that could be customized for specific implementations. The goal is to reduce the costs and resources required for ITO through lower transition and operation costs, improved customer service, and reduced risk for both customers and suppliers.
This document reviews several existing data management maturity models to identify characteristics of an effective model. It discusses maturity models in general and how they aim to measure the maturity of processes. The document reviews ISO/IEC 15504, the original maturity model standard, outlining its defined structure and relationship between the reference model and assessment model. It discusses how maturity levels and capability levels are used to characterize process maturity. The document also looks at issues with maturity models and how they can be improved.
This document discusses several technologies that help overcome limitations of standalone ERP systems:
1) Business Process Reengineering which involves fundamentally rethinking and redesigning business processes to dramatically improve performance metrics like cost, quality and speed.
2) Management Information Systems which integrate data across functional areas to provide timely information to support decision making at all management levels.
3) Decision Support Systems which facilitate and expand a manager's ability to work with different types of knowledge like data, procedures and reasoning to support decision making.
Architecting an Enterprise Content Management Strategy: A Four-Pillar ApproachCognizant
Using a structured enterprise-content management (ECM) framework organization can develop a well-defined process and system for capturing, distributing, storing and managing unstructured content end-to-end
Data Privatisation, Data Anonymisation, Data Pseudonymisation and Differentia...Alan McSweeney
This document discusses various approaches to ensuring data privacy when sharing data, including anonymisation, pseudonymisation, and differential privacy. It notes that while data has value, sharing data widely raises privacy risks that these technologies can help address. The document provides an overview of each technique, explaining that anonymisation destroys identifying information while pseudonymisation and differential privacy retain reversible links to original data. It argues these technologies allow organisations to share data and realise its value while ensuring compliance with privacy laws and regulations.
Maximising The Value and Benefits of Enterprise ArchitectureAlan McSweeney
This document discusses enterprise architecture (EA), including:
1) The benefits of EA such as aligning IT with business strategy and reducing IT complexity.
2) The key elements of EA including business, data, applications, and technology architectures.
3) How effective EA implementation and management can standardize systems and infrastructure, lower costs, and improve business agility.
Introduction to DCAM, the Data Management Capability Assessment ModelElement22
DCAM is a model to assess data management capability within the financial industry. It was created by the EDM Council. This presentation provides an overview of DCAM and how financial institutions leverage DCAM to improve or establish their data management programs and meet regulatory requirements such as BCBS 239.
White Paper - The Business Case For Business IntelligenceDavid Walker
This white paper looks at the business case that should lie behind the decision to build a data warehouse and provide a business intelligence solution.
There are three primary drivers for making the investment in a business intelligence solution
1. Measurement and management of the business process
2. Analysis of why things change in the business in order to react better in the future
3. Providing information for stakeholders
As a consequence of the investment there will also be a number of secondary benefits that will help to justify the investment and these are also discussed. Finally there are a number of ‘anti-drivers’ – reasons for not embarking on a business intelligence programme.
Review of Information Technology Function Critical Capability ModelsAlan McSweeney
IT Function critical capabilities are key areas where the IT function needs to maintain significant levels of competence, skill and experience and practise in order to operate and deliver a service. There are several different IT capability frameworks. The objective of these notes is to assess the suitability and applicability of these frameworks. These models can be used to identify what is important for your IT function based on your current and desired/necessary activity profile.
Capabilities vary across organisation – not all capabilities have the same importance for all organisations. These frameworks do not readily accommodate variability in the relative importance of capabilities.
The assessment approach taken is to identify a generalised set of capabilities needed across the span of IT function operations, from strategy to operations and delivery. This generic model is then be used to assess individual frameworks to determine their scope and coverage and to identify gaps.
The generic IT function capability model proposed here consists of five groups or domains of major capabilities that can be organised across the span of the IT function:
1. Information Technology Strategy, Management and Governance
2. Technology and Platforms Standards Development and Management
3. Technology and Solution Consulting and Delivery
4. Operational Run The Business/Business as Usual/Service Provision
5. Change The Business/Development and Introduction of New Services
In the context of trends and initiatives such as outsourcing, transition to cloud services and greater platform-based offerings, should the IT function develop and enhance its meta-capabilities – the management of the delivery of capabilities? Is capability identification and delivery management the most important capability? Outsourced service delivery in all its forms is not a fire-and-forget activity. You can outsource the provision of any service except the management of the supply of that service.
The following IT capability models have been evaluated:
• IT4IT Reference Architecture https://www.opengroup.org/it4it contains 32 functional components
• European e-Competence Framework (ECF) http://www.ecompetences.eu/ contains 40 competencies
• ITIL V4 https://www.axelos.com/best-practice-solutions/itil has 34 management practices
• COBIT 2019 https://www.isaca.org/resources/cobit has 40 management and control processes
• APQC Process Classification Framework - https://www.apqc.org/process-performance-management/process-frameworks version 7.2.1 has 44 major IT management processes
• IT Capability Maturity Framework (IT-CMF) https://ivi.ie/critical-capabilities/ contains 37 critical capabilities
The following model has not been evaluated
• Skills Framework for the Information Age (SFIA) - http://www.sfia-online.org/ lists over 100 skills
This document contains slides from a lecture on information management. It discusses key topics like the importance of information in today's organizations, challenges of information overload and management, how information supports business processes, and the relationships between data, information, and knowledge. It also provides examples and definitions to illustrate information management concepts. The final slides discuss knowledge management and common problems organizations face with knowledge management initiatives.
Information management and enterprise architecturenvvrajesh
The document discusses practical enterprise information management. It describes EIM as managing data in all forms as a strategic asset. A good EIM program results in integrated, accurate and timely enterprise data through policies, frameworks, technologies and processes. These include data models, data lineage, data quality, data profiling and stewardship. The document recommends aligning EIM with enterprise architecture and developing conceptual, logical and physical data models across three layers to support the information architecture.
The document discusses utility computing and how organizations can transition to a utility model for information technology services. Under a utility model, users access computing resources on demand and pay based on usage, replacing traditional capital costs. While this model has similarities to older computer bureau services, it also includes storage, data transmission, and service management. For organizations to successfully adopt utility IT services, they must understand their current and future costs to implement an accurate cost recovery payment model.
The Belgian Railways Journey to Enterprise Information ManagementStephane Haelterman
Agendat: Introduction, Definition, Motivation, Information Management, Framework, Dimensions, Inventory, Strategy, Corporate objectives, Value, Return-On-Investment, Aproach, Information Governance, Information Architecture, Unstructured data management, Information Security, Communication channels, Next Step.
The document discusses the need for a comprehensive data governance program to address challenges organizations face from increasingly complex systems, siloed projects, a lack of focus on data management, hidden and persistent data quality issues, and data being fit for the original purpose rather than future uses. It proposes a new "Information Development" competency model is required to define an enterprise-wide governance program that can effectively address these challenges in a manageable way while still fostering innovation. The document outlines moving from a focus on data governance to information governance with this new competency model and solution offering.
How Ally Financial Achieved Regulatory Compliance with the Data Management Ma...DATAVERSITY
A Data Management Maturity Model Case Study
Ally Financial Inc., previously known as GMAC Inc., is a bank holding company headquartered in Detroit, Michigan. Ally has more than 15 million customers worldwide, serving over 16,000 auto dealers in the US. In 2009 Ally Bank was launched – at present it has over 784,000 customers, a satisfaction score of over 90%, and has been named the “Best Online Bank” by Money magazine for the last four years.
Ally was an early adopter of the DMM, conducting a broad-based evaluation of its data management practices, and creating a strategy and sequence plan for improvements based on the results. Ally’s implementation of an integrated, organization-wide data management program including data governance, a robust data quality program, and managed data standards, resulted in a “Satisfactory” rating on its latest regulatory audit.
In this webinar, you will learn:
How Ally employed the DMM to evaluate its data management practices
Who was involved / lessons learned
How Ally prioritized and sequenced data management improvement initiatives
How the data management program has been enhanced and expanded
Business impacts and benefits realized
Major initiatives completed and underway
How Ally is leveraging DMM 1.0 to proactively prepare for BCBS 239 compliance.
The document discusses the key concepts of information management. It begins by defining data and how it is transformed into information. It then discusses definitions of information and management, and how information management originated from fields like archives, records management, and librarianship. It also notes the influence of information technology. The document outlines the importance of information management and its goals, strategies, elements, lifecycle, resources, and tools. It discusses access, privacy, security and relevant laws. Finally, it concludes with questions for further discussion.
This document discusses decision support systems and business intelligence. It provides learning objectives about understanding decision making in turbulent business environments and the need for computerized support. It describes early frameworks for decision support and the evolution of decision support systems into modern business intelligence approaches. Key concepts covered include structured vs. unstructured decisions, decision support system architectures, and the goals and components of business intelligence systems.
More Information:
https://flevy.com/browse/business-document/effective-staff-suggestion-system-kaizen-teian-157
BENEFITS OF DOCUMENT
Implement a strategy and mechanism to generate a constant flow of ideas.
Simplify the evaluation system to speed up the suggestions feedback process.
Learn effective approaches to develop creativity and improve participation rates.
DOCUMENT DESCRIPTION
Effective Staff Suggestion System is based on Kaizen Teian -- the Japanese-style proposal system for continuous improvement -- is the most direct and effective method for channeling employees' creative energies and hands-on insight.
This presentation focuses on the management, guidance, and development of an effective suggestion system. It explains the key aspects of running a suggestion system or proposal program on a day-to-day basis. This concise reference outlines the policies that support a "bottom-up" system of innovation and defines the three main objectives of a successful suggestion system: to build participation, develop individuals' skills, and achieve higher profits.
This comprehensive guide teaches the methods to plan, implement and sustain the program. It teaches strategy, mechanism, roles, process, and how employees should write good ideas.
LEARNING OBJECTIVES
1. Understand the key elements of a suggestion system
2. Define how to plan and launch an effective suggestion system
3. Describe how to set up a strategy and mechanism to generate ideas, capture quality ideas, evaluate ideas and sustain a constant flow of ideas
4. Explain how to develop employees to identify opportunities for improvement and write good quality ideas
5. Define success factors for sustaining a suggestion system
CONTENTS
1. Introduction to Kaizen
2. Introduction & Basic Concepts of a Suggestion System
3. Scope of Suggestions
4. Goals of a Suggestion System
5. Planning & Launching a Suggestion System
6. Roles & Responsibilities
7. The Suggestions Process
8. Evaluation & Award Systems
9. Examples of Effective Procedures
10. Techniques for Developing Creativity
11. Examples of Ideas for Improvement
12. Points for Improvement
13. Ways to Develop "Kaizen Eyes"
14. How to Sustain a Suggestion System
Got a question about this presentation? Email us at support@flevy.com.
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.
Solution Architecture and Solution AcquisitionAlan McSweeney
This describes a systematised and structured approach to solution acquisition or procurement that involves solution architecture from the start. This allows the true scope of both the required and subsequently acquired solution are therefore fully understood. By using such an approach, poor solution acquisition outcomes are avoided.
Solution architecture provides the structured approach to capturing all the cost contributors and knowing the true solution scope.
There is more packaged/product/service-based solution acquisition activity. There is an increasing trend of solutions hosted outside the organisation. Meanwhile solution acquisition outcomes are poor and getting worse.
Poor solution acquisition has long-term consequences and costs.
The to-be-acquired solution needs to operate in and co-exist with an existing solution topography and the solution acquisition process needs to be aware of and take account of this wider solution topography. Cloud-based or externally hosted and provided solutions do not eliminate the need for the solution to exist within the organisation solution topography.
Strategic misrepresentation in solution acquisition is the deliberate distortion or falsification of information relating to solution acquisition costs, complexity, required functionality, solution availability, resource availability, time to implement in order to get solution acquisition approval. Strategic misrepresentation is very real and its consequences can be very damaging.
Solution architecture has the skills and experience to define the real scope of the solution being acquired. An effective structured solution acquisition process, well-implemented and consistently applied, means dependable and repeatable solution acquisition and successful outcomes.
A Data Management Maturity Model Case StudyDATAVERSITY
This document provides an overview of the Data Management Maturity (DMM) model and its ecosystem. It introduces the presenters and describes the development of the DMM model over 3.5 years with input from 50+ authors and 70+ peer reviewers. The DMM is designed to help organizations evaluate and improve their data management capabilities through a structured assessment and benchmarking approach. It describes the DMM structure, levels, and themes and outlines upcoming certification programs, products, and events to support widespread adoption of the DMM model.
Notes on an ITO Appliance Approach to Productising and Industrialising IT Out...Alan McSweeney
The document describes an approach to productizing and industrializing IT outsourcing (ITO) through the use of an ITO appliance. The ITO appliance would be a standardized, packaged set of processes and systems to support the delivery of ITO services consistently. This would enable a repeatable and modular ITO solution that could be customized for specific implementations. The goal is to reduce the costs and resources required for ITO through lower transition and operation costs, improved customer service, and reduced risk for both customers and suppliers.
This document reviews several existing data management maturity models to identify characteristics of an effective model. It discusses maturity models in general and how they aim to measure the maturity of processes. The document reviews ISO/IEC 15504, the original maturity model standard, outlining its defined structure and relationship between the reference model and assessment model. It discusses how maturity levels and capability levels are used to characterize process maturity. The document also looks at issues with maturity models and how they can be improved.
This document discusses several technologies that help overcome limitations of standalone ERP systems:
1) Business Process Reengineering which involves fundamentally rethinking and redesigning business processes to dramatically improve performance metrics like cost, quality and speed.
2) Management Information Systems which integrate data across functional areas to provide timely information to support decision making at all management levels.
3) Decision Support Systems which facilitate and expand a manager's ability to work with different types of knowledge like data, procedures and reasoning to support decision making.
Architecting an Enterprise Content Management Strategy: A Four-Pillar ApproachCognizant
Using a structured enterprise-content management (ECM) framework organization can develop a well-defined process and system for capturing, distributing, storing and managing unstructured content end-to-end
- Info-Tech Research Group provides IT research and advice to help organizations implement effective service management practices.
- The document discusses common misconceptions around service management and emphasizes the importance of establishing strong foundational elements like culture, governance, and management practices before implementing more advanced service management processes.
- Case studies demonstrate how Info-Tech has helped clients develop customized roadmaps to mature their service management practices by first stabilizing services and focusing on cultural and foundational elements before aiming to become strategic partners.
Presentation delivered by Luis E. Taveras, PhD, Former Senior Vice President, Office of Integration, RWJ Barnabas Health at the marcus evans National Healthcare CIO Summit held in Pasadena CA, March 13-14 2017
COBIT 5 is a framework for governance and management of enterprise IT that incorporates current techniques. It provides principles, practices, tools and models to increase trust and value from information systems. The framework has two domains - Governance and Management. It describes seven enablers including principles, processes, organizational structures, culture and people. COBIT 5 training from Syzygal helps professionals implement the framework and become certified assessors to improve IT governance.
The document discusses several key challenges in adopting predictive analytics in healthcare:
1) Lack of quality data due to incomplete, inconsistent, or non-standardized data from different sources.
2) Difficulty incorporating analytics into clinical workflows and ensuring usability for clinicians.
3) Privacy concerns around sharing and integrating patient data from different organizations.
4) Need for interdisciplinary teams including data scientists, clinicians, and other stakeholders to design effective predictive solutions.
DPBoK Foundation Certification IntroductionAshraf Fouad
This document introduces the DPBoK Foundation's Digital Transformation Body of Knowledge (DPBoK) standard, which outlines 12 competencies needed for digital transformation across four organizational contexts: individual/founder, team, team of teams, and enduring enterprise. Each competency is broken down into 3 sections that provide an overview of the topic, key concepts, and examples. The competencies cover areas like digital fundamentals, infrastructure, application delivery, product management, operations management, coordination/process, investment/portfolio, organization/culture, governance/security, information management, and architecture. The DPBoK is presented as a framework to help organizations succeed in today's digital era by linking the various components of digital transformation.
CHAPTER 10
INFORMATION GOVERNANCE
Information Governance and Information
Technology Functions
ITS 833
Dr. Mia Simmons
Chapter Overview
■ This chapter will cover pages 189-206 in
your book.
■ This chapter discusses how Information
Technology (IT) aligns directly with the
success of Information Governance.
2
What is Information Technology?
■ Information technology (IT) is a core function impacted by
information governance (IG) efforts.
– The IT side, shared responsibility for IG means the IT
department itself must take a closer look at IT processes
and activities with an eye to IG.
– A focus on improving IT efficiency, software development
processes, and data quality will help contribute to the
overall IG program effort
3
CIO & IT Leaders Key Focus Areas
■ Four IG areas for successful delivery of IG efforts:
1. Don’t focus on technology, focus on business impact
■ IT needs to become more business savvy, more businesslike, more
focused on delivering business benefits that can help the organization
to meet its business goals and achieve its business objectives.
2. Customize your IG approach for your specific business, folding in
any industry-specific best practices possible.
■ there are components that are common to all industries, but tailoring
your approach to your organization is the only way to deliver real
business value and results
3. Make the business case for IG by tying it to business objectives
■ The business case must be presented in order to gain executive
sponsorship, which is an essential component of any IG effort.
4. Standardize use of business terms
■ IG requires a cross-functional effort, so you must be speaking the
same language, which means the business terms you use in your
organization must be standardize
4
Data
Governance
■ Data is big, data is growing, data is
valuable, and the insights that can be
gained by analyzing clean, reliable data
with the latest analytic tools are a sort of
new currency.
■ focuses on information quality from the
ground up (at the lowest or root level), so
that subsequent reports, analyses and
conclusions are based on clean, reliable,
trusted data (or records) in database
tables
■ Data governance is a newer, hybrid
quality control discipline that includes
elements of data quality, data
management, IG policy development,
business process improvement, and
compliance and risk management.
■ Data governance with real-time analytics
and business intelligence (BI) software
not only can yield insights into significant
and emerging trends but also can provide
solid information for decision makers to
use in times of crisis—or opportunity.
5
Steps to Governing Data
Effectively
1. Recruit a strong executive sponsor.
2. Assess your current state
3. Set the ideal state vision and strategy.
4. Compute the value of your data.
5. Asses Risk
6. Implement a going-forward strategy
7. Assign accountabili.
CHAPTER 10
INFORMATION GOVERNANCE
Information Governance and Information
Technology Functions
ITS 833
Dr. Mia Simmons
Chapter Overview
■ This chapter will cover pages 189-206 in
your book.
■ This chapter discusses how Information
Technology (IT) aligns directly with the
success of Information Governance.
2
What is Information Technology?
■ Information technology (IT) is a core function impacted by
information governance (IG) efforts.
– The IT side, shared responsibility for IG means the IT
department itself must take a closer look at IT processes
and activities with an eye to IG.
– A focus on improving IT efficiency, software development
processes, and data quality will help contribute to the
overall IG program effort
3
CIO & IT Leaders Key Focus Areas
■ Four IG areas for successful delivery of IG efforts:
1. Don’t focus on technology, focus on business impact
■ IT needs to become more business savvy, more businesslike, more
focused on delivering business benefits that can help the organization
to meet its business goals and achieve its business objectives.
2. Customize your IG approach for your specific business, folding in
any industry-specific best practices possible.
■ there are components that are common to all industries, but tailoring
your approach to your organization is the only way to deliver real
business value and results
3. Make the business case for IG by tying it to business objectives
■ The business case must be presented in order to gain executive
sponsorship, which is an essential component of any IG effort.
4. Standardize use of business terms
■ IG requires a cross-functional effort, so you must be speaking the
same language, which means the business terms you use in your
organization must be standardize
4
Data
Governance
■ Data is big, data is growing, data is
valuable, and the insights that can be
gained by analyzing clean, reliable data
with the latest analytic tools are a sort of
new currency.
■ focuses on information quality from the
ground up (at the lowest or root level), so
that subsequent reports, analyses and
conclusions are based on clean, reliable,
trusted data (or records) in database
tables
■ Data governance is a newer, hybrid
quality control discipline that includes
elements of data quality, data
management, IG policy development,
business process improvement, and
compliance and risk management.
■ Data governance with real-time analytics
and business intelligence (BI) software
not only can yield insights into significant
and emerging trends but also can provide
solid information for decision makers to
use in times of crisis—or opportunity.
5
Steps to Governing Data
Effectively
1. Recruit a strong executive sponsor.
2. Assess your current state
3. Set the ideal state vision and strategy.
4. Compute the value of your data.
5. Asses Risk
6. Implement a going-forward strategy
7. Assign accountabili ...
Creating a Successful DataOps Framework for Your Business.pdfEnov8
As data is universally important and has a major role in decision-making and other business operations, a strong data-driven culture has become extremely important for business organizations.
This calls for a successful and efficient DataOps framework. Let us explore more about this emerging methodology.
This document discusses securing big data as it travels and is analyzed. It outlines some of the key challenges organizations face with big data including increasing volumes of data from various sources, managing data privacy, and optimizing return on investment from big data analytics. Effective data governance is important for managing data as an asset and meeting regulatory compliance. However, many companies struggle with data governance due to short-term priorities and political issues. An iterative approach focusing on specific data sets can help companies start seeing results more quickly from data governance.
Data Governance: Description, Design, DeliveryInnoTech
The document discusses data governance and provides an overview of key concepts including:
- Governance establishes standards and policies for processes and data through a governing committee.
- Metadata is important for data management and describes business, operational, technical, and process attributes.
- Data profiling examines data quality and validates adherence to business rules.
- A hybrid architecture with a persistent staging area, enterprise data warehouse, data marts and OLAP cubes supports governance goals.
There are three key takeaways from the document:
1. The three most important best practices areas in PPM/PMO are resource management, operations and metrics, and automation.
2. Strategic project categorization and selection is a hallmark of an effective PPM strategy.
3. The right technology solution can make a large difference in achieving solid ROI and meeting PPM and PMO objectives.
The organizations can bring beneficial information through data technologies like Y2k, Bubble etc. There are many other benefits of these technologies, like they can help in utilizing and analyzing the information more comfortably and generate accurate financial reports within the organization. With the application of modern technology and automated systems, employees, stakeholders and consumers can be protected, because these systems help in making genuine report design. Organizations can maintain information system such as record keeping system on any Oracle or SQL server program. In order to avoid misuse of the data and analysis recorded in the system, the U.S designed SOX law procedures in July 2002 that needed to be followed.
The document discusses key aspects of data governance including governance, data stewardship, data quality, and master data management. It provides definitions and descriptions of these terms. For example, it defines data governance as the overall management of the availability, usability, integrity and security of enterprise data. It also notes that data stewardship, data quality, and master data management are pillars of effective data governance. The document then provides more details on each of these concepts.
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
The document discusses establishing key IT governance processes for small and medium businesses. It covers establishing a CIO view of IT governance and the need for governance. Frameworks for IT governance like COBIT, ITIL, COSO and CMMI are reviewed. The evolution of IT governance processes and how they can become more embedded is examined. Specific IT governance workflows, tools and benefits at different maturity levels are outlined. Case studies of implementing governance at large retailers are also provided.
The document discusses establishing key IT governance processes for small and medium businesses. It covers establishing a CIO view of IT governance and frameworks for IT governance like COBIT, ITIL, COSO and CMMI. It discusses how IT governance processes evolve over time through various maturity levels from initial to optimized. It provides examples of workflows for IT governance and case studies of how large retailers have established IT governance processes to improve efficiency, effectiveness and enable transformation.
Join us to find out how Nottinghamshire County Council has improved information access and discovered one of the many processes that can be enhanced by the Concept Searching Technology Platform. Nottinghamshire County Council is the UK’s 9th largest Council, with 18,000 staff, including 6,500 PC users. Lesley Holmes, Information Manager at the Council will join us and share why it purchased the Concept Searching Technology platform and what it is being used for today.
Originally purchased to track information assets for the delivery of over 300 discrete services, the Concept Searching solution is now being used to support eDiscovery efforts for legal compliance. The flexibility of the technologies improves search outcomes by significantly improving the retrieval of highly precise and relevant information. This is particularly useful when information is scattered throughout the enterprise in diverse repositories. As a public sector organization, compliance with regulatory requirements and adherence to applicable laws are of paramount importance.
Not associated with the government? If you face challenges in eDiscovery, litigation, or non-compliance, this webinar will provide insight and knowledge.
Nottinghamshire County Council and Concept Searching will discuss:
• Why Concept Searching technologies and SharePoint were purchased
• Challenges and outcomes
• How the technologies are used today
• The eDiscovery process at work
• Why the Concept Searching Technology Platform was the solution that best met the client’s requirements
• Plans for future uses for the technologies
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.
This document discusses the process of building an e-commerce website, including analyzing business objectives, designing the site architecture, selecting hardware and software, testing, and implementation. The key steps in building a site are analyzing business goals, designing the site structure and features, choosing appropriate technology and vendors, testing functionality, and maintaining the site over time. Considerations include whether to outsource development, budget requirements, and ensuring accessibility for all users.
E-BM The Internet and World Wide Web: E-BM InfrastructureKaleemSarwar2
The Internet and
World Wide Web:
E-BM Infrastructure, The Internet: Key Technology Concepts, Packet Switching, TCP/IP, Internet (IP) Addresses, Domain Names, DNS, and URLs, Client/Server Computing, Cloud Computing, Other Internet Protocols and Utility Programs, The Internet Today,
E-BM, Business Models and Concepts, 8 Key Elements of a Business Model, Categorizing E-commerce Business Models, B2C Business Models: Portal (Gateway), B2C Models: E- tailor,
After reading this chapter, you will be able to:
Define e-commerce and describe how it differs from e-business.
Identify and describe the unique features of e-commerce technology and discuss their business significance.
Describe the major types of e-commerce.
Discuss the origins and growth of e-commerce
Understand the vision and forces operating during the first five years of e-commerce, and assess its successes, surprises and failures.
Identify several factors that will define the next five years of e-commerce.
Describe the major themes underlying the study of e-commerce.
Identify the major academic disciplines contributing to e-commerce research.
This document discusses and compares quantitative and qualitative research methodologies. It provides information on:
- The basic differences between quantitative and qualitative research, including their analytical objectives, types of questions asked, data collection instruments used, types of data produced, and flexibility.
- Common methodologies used in social science studies, including quantitative and qualitative approaches.
- Details on quantitative research, which aims to test theories, uses standardized instruments and large sample sizes, and takes a deductive approach. Qualitative research aims to build theories, uses small sample sizes and flexible instruments like interviews, and takes an inductive approach.
- The key difference between the two is flexibility - quantitative methods are less flexible while qualitative methods allow greater
Introduction
Types of Research
Research approaches
Key points of Research
Planning a Research Project
Research Question and its Generation
Hypothesis Generation
Sampling methods
Questionnaire development and design
Preparing a Research Proposal
Validity & Reliability of Research
Writing a Research Reports
Plagiarism is passing off someone else's work as your own. It is considered a serious academic offense. The document discusses plagiarism in detail, including definitions, types of plagiarism, policies on plagiarism from Higher Education Commission Pakistan, and penalties for students and teachers found guilty of plagiarism. Penalties range from failure in a course to expulsion from university for students, and fines or publication of offenses for teachers.
The Tokyo Stock Exchange (TSE) is one of the largest stock exchanges in the world. Founded in 1878, it currently has over 2,200 listings with a total market capitalization of $3.3 trillion. The TSE operates markets for domestic stocks, futures, options, bonds, ETFs and REITs. It is structured with separate first, second, and MOTHERS sections for large, mid-sized, and high-growth companies. In 2013, the TSE merged with the Osaka Securities Exchange to form the Japan Exchange Group.
Executive Summary, 1.Introduction, 2.Structure of Stock Exchange, 3.History and Developments, 4.Requirements for Listed Companies, 5.Reporting Requirements, 6.Buying and Selling Share Procedures, 7.Size of Stock Market, 8.Current Changes, 9.Comparison with ISE, 10.Conclusion, Reference
ABOUT TOKYO STOCK EXCHANGE:, History Of TSE, Domestic Market Capitalization (Sep,2005) (USD billions), Number of listed companies (Sep,2005)
, Total Value of Share Trading (2005) (in millions of USD), Total Value of Share Trading (2005) (in millions of JPN YEN)
, The state of personal financial asset holdings (2004)
, Major Activities, Regulatory Bodies, Daily Trade Statistics In Domestic Values, CURRENT CHANGES:,
Capital Asset Pricing Model, CAPM Assumptions, Borrowing and Lending Possibilities, Risk-Free Lending, Borrowing Possibilities, The New Efficient Set, Portfolio Choice, Market Portfolio, Characteristics of the Market Portfolio, Capital Market Line, The Separation Theorem, Security Market Line, CAPM’s Expected Return-Beta Relationship, How Accurate Are Beta Estimates?,
risk and return. Defining Return, Return Example, Defining Risk,Determining Expected Return , How to Determine the Expected Return and Standard Deviation, Determining Standard Deviation (Risk Measure), Portfolio Risk and Expected Return Example, Determining Portfolio Expected Return, Determining Portfolio Standard Deviation, Summary of the Portfolio Return and Risk Calculation, Total Risk = Systematic Risk + Unsystematic Risk,
The document discusses various types of financial statements and ratios used for financial analysis. It defines balance sheets, income statements, statements of retained earnings, and various ratios including liquidity, leverage, activity, coverage, and profitability ratios. Specific ratios are defined such as the current ratio, acid-test ratio, debt-to-equity ratio, inventory turnover, and return on equity. Examples are provided to demonstrate how to calculate each ratio.
The Competitive Profile Matrix (CPM) is a tool that compares a firm to its rivals to reveal their relative strengths and weaknesses. The CPM identifies a firm's key competitors and compares them based on an industry's critical success factors. This allows companies to understand their external environment, competition, and determine which areas they should improve or protect against competitors. The CPM provides a single-page view of all major competitors' strengths and weaknesses in an industry to help visualize and communicate the competitive landscape.
This chapter discusses key issues in implementing strategies related to marketing, finance/accounting, research and development (R&D), and management information systems (MIS). Some important points include: successful strategy implementation requires addressing marketing variables like market segmentation and product positioning; acquiring necessary capital and developing financial budgets are critical finance/accounting issues; R&D influences strategy implementation through new products; and MIS helps coordinate activities and keep managers informed.
This document discusses key issues related to strategy implementation, including:
1) The differences between strategy formulation and implementation, with implementation requiring operational and leadership skills to coordinate many people.
2) Management issues central to successful implementation, such as establishing objectives, allocating resources, changing organizational structure, and developing incentives.
3) The importance of aligning organizational structure with strategy, and that changes in strategy may require changes to structure. Common structures discussed include functional, divisional, strategic business unit, and matrix structures.
The document discusses strategic analysis and choice, providing a three-stage framework for choosing among alternative strategies. It describes various analytical tools that can be used in each stage: the input stage uses SWOT, IFE, and CPM matrices; the matching stage uses SWOT, SPACE, BCG, IE, and grand strategy matrices; and the decision stage uses the QSPM matrix. The tools help generate alternative strategies, evaluate them objectively, and select the most attractive strategies to pursue.
This document discusses different types of strategies that companies can employ as part of their strategic management. It describes long-term objectives, financial and strategic objectives, the balanced scorecard technique, levels of strategies for large and small companies, and various intensive, vertical integration, diversification, and defensive strategies. Key strategies mentioned include market penetration, product development, forward and backward integration, related and unrelated diversification, retrenchment, divestiture, and liquidation.
This chapter discusses how to perform an internal strategic management audit and analysis of a firm. It covers evaluating a firm's internal resources, capabilities, and functional areas. These include management, marketing, finance, production, research and development, and information systems. Tools like financial ratio analysis, value chain analysis, benchmarking and an internal factor evaluation matrix are presented to assess a firm's internal strengths and weaknesses. The objectives are to understand a firm's internal environment and identify areas for improvement to achieve competitive advantage.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge