Business & Management
Buildings Management System History
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Building Management Systems Training
Presented by: Eng Jamal eldeen Abd Elhafeez
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Project Management For Large, Complex Projects
Introduction:
This expert report on project management was commissioned by the Edinburgh Tram Inquiry to address general issues about the nature, purpose and application of project management, as well as specific questions about programme management and risk management. Traditional project management provides a set of processes, procedures and tools for managing projects on time, within budget and to the required specifications. These common processes are valuable for identifying the bodies of knowledge and detailed procedures required to set up and execute projects. However, traditional project management has been criticized in recent years for neglecting to consider the ‘strategic’ activities and decisions undertaken during the front-end planning stage of
projects, which play a vital role in defining the need for a project and determining whether the goal
is achieved. Traditional project management assumes that a one-size-fits-all approach – a simple, predictable and standardized model – is applicable to all types of projects. Recent research has emphasized the need for project management to be ‘adaptive’ and flexible to address the complexities, uncertainties and challenges surrounding each project. There are clearly no magical project management cures, and no single predictable strategy will be applicable to all large, complex, high-risk projects. But many infrastructure projects in the UK now recognize the need for solutions that are designed to deal with the specific challenges involved in planning and executing large, complex projects. Taken together, the strategic and adaptive approaches to project management identified in this report offer a more effective way of planning and managing large, complex projects.
Project Management For Large, Complex Projects
Introduction:
This expert report on project management was commissioned by the Edinburgh Tram Inquiry to address general issues about the nature, purpose and application of project management, as well as specific questions about programme management and risk management. Traditional project management provides a set of processes, procedures and tools for managing projects on time, within budget and to the required specifications. These common processes are valuable for identifying the bodies of knowledge and detailed procedures required to set up and execute projects. However, traditional project management has been criticized in recent years for neglecting to consider the ‘strategic’ activities and decisions undertaken during the front-end planning stage of
projects, which play a vital role in defining the need for a project and determining whether the goal
is achieved. Traditional project management assumes that a one-size-fits-all approach – a simple, predictable and standardized model – is applicable to all types of projects. Recent research has emphasized the need for project management to be ‘adaptive’ and flexible to address the complexities, uncertainties and challenges surrounding each project. There are clearly no magical project management cures, and no single predictable strategy will be applicable to all large, complex, high-risk projects. But many infrastructure projects in the UK now recognize the need for solutions that are designed to deal with the specific challenges involved in planning and executing large, complex projects. Taken together, the strategic and adaptive approaches to project management identified in this report offer a more effective way of planning and managing large, complex projects.
Business Continuity Management
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Project Management Plan
Introduction:
The Oregon Public Utility Commission (PUC or Commission) relies on a variety of applications to support its business functions related to the conduct of official proceedings. These include a custom-built legacy “BizApps” docketing system and Huddle, a third party service for eDiscovery. The PUC seeks to replace these systems with an integrated, cohesive, and efficient solution for internal and external stakeholders doing business with the Commission. By replacing the outdated and unsupported docketing system, PUC will be better equipped to serve stakeholders and the citizens of Oregon. The Dockets and Discovery project management plan defines how the Dockets and Discovery project is executed, monitored and controlled, and closed.
Project Management Plan
Introduction:
The Oregon Public Utility Commission (PUC or Commission) relies on a variety of applications to support its business functions related to the conduct of official proceedings. These include a custom-built legacy “BizApps” docketing system and Huddle, a third party service for eDiscovery. The PUC seeks to replace these systems with an integrated, cohesive, and efficient solution for internal and external stakeholders doing business with the Commission. By replacing the outdated and unsupported docketing system, PUC will be better equipped to serve stakeholders and the citizens of Oregon. The Dockets and Discovery project management plan defines how the Dockets and Discovery project is executed, monitored and controlled, and closed.
Taking The Next Step: Findings Of The Effective Utility Management Review Steering Group
Introduction:
In 2007, the Environmental Protection Agency (EPA) and six national water and wastewater associations, including the Association of Metropolitan Water Agencies (AMWA), the American Public Works Association (APWA), the American Water Works Association (AWWA), the National Association of Clean Water Agencies (NACWA), the National Association of Water Companies (NAWC), and the Water Environment Federation (WEF) – collectively the “Collaborating Organizations” – signed a historic agreement to promote Effective Utility Management (EUM) based on the Ten Attributes of Effectively Managed Water Sector Utilities and Keys to Management Success. Like the current review effort, the original EUM framework was driven by a group of leading water sector utility leaders, and a report detailed their
findings. This group of leaders sought a common and understandable framework for utilities across the sector to assess the overall effectiveness of their operations and chart a course for improvement through implementation and measurement.
Taking The Next Step: Findings Of The Effective Utility Management Review Steering Group
Introduction:
In 2007, the Environmental Protection Agency (EPA) and six national water and wastewater associations, including the Association of Metropolitan Water Agencies (AMWA), the American Public Works Association (APWA), the American Water Works Association (AWWA), the National Association of Clean Water Agencies (NACWA), the National Association of Water Companies (NAWC), and the Water Environment Federation (WEF) – collectively the “Collaborating Organizations” – signed a historic agreement to promote Effective Utility Management (EUM) based on the Ten Attributes of Effectively Managed Water Sector Utilities and Keys to Management Success. Like the current review effort, the original EUM framework was driven by a group of leading water sector utility leaders, and a report detailed their
findings. This group of leaders sought a common and understandable framework for utilities across the sector to assess the overall effectiveness of their operations and chart a course for improvement through implementation and measurement.
Business Analysis Methodology Book
Companies have to develop innovative and high-quality products faster than their competitors to create temporary monopoly periods with maximum profitability. However, they usually have tight deadlines and limited budgets for new product development projects. To overcome this challenge, high-performance companies apply a “lean” business analysis, design, and development approach that has its origins in the Toyota car production system. Lean mainly focuses on eliminating muda (waste) throughout the product development lifecycle (PDLC) and passing resource savings to innovative projects.
Business Analysis Methodology Book
Companies have to develop innovative and high-quality products faster than their competitors to create temporary monopoly periods with maximum profitability. However, they usually have tight deadlines and limited budgets for new product development projects. To overcome this challenge, high-performance companies apply a “lean” business analysis, design, and development approach that has its origins in the Toyota car production system. Lean mainly focuses on eliminating muda (waste) throughout the product development lifecycle (PDLC) and passing resource savings to innovative projects.
Artificial Intelligence In Emerging Markets Opportunities, Trends, And Emerging Business Models
Artificial Intelligence, or AI, is changing business and society in ways that would have been unimaginable only a few years ago. Its full potential has yet to be realized—the way we gather information, make products, interact with businesses, and access products and services are all evolving. In emerging markets, AI offers an opportunity to reach the underserved by lowering costs and barriers to entry for entrepreneurs and businesses, creating innovative business models,
and leapfrogging traditional technologies. Private sector solutions lie at the heart of ending poverty and boosting shared prosperity, and AI is and will remain an integral part of that process. But much more can be done. This report explores the role of AI in emerging markets and developing
countries—both across and within key sectors—both today and in the future. It also examines the issue of gender bias, and how Big Data can advance, rather than impede, equality. If managed well, AI solutions will expand opportunities and contribute to the achievement of the Sustainable Development Goals.
Artificial Intelligence In Emerging Markets Opportunities, Trends, And Emerging Business Models
Artificial Intelligence, or AI, is changing business and society in ways that would have been unimaginable only a few years ago. Its full potential has yet to be realized—the way we gather information, make products, interact with businesses, and access products and services are all evolving. In emerging markets, AI offers an opportunity to reach the underserved by lowering costs and barriers to entry for entrepreneurs and businesses, creating innovative business models,
and leapfrogging traditional technologies. Private sector solutions lie at the heart of ending poverty and boosting shared prosperity, and AI is and will remain an integral part of that process. But much more can be done. This report explores the role of AI in emerging markets and developing
countries—both across and within key sectors—both today and in the future. It also examines the issue of gender bias, and how Big Data can advance, rather than impede, equality. If managed well, AI solutions will expand opportunities and contribute to the achievement of the Sustainable Development Goals.
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