48 Change Management courses in London

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Writing and Managing Requirements Documents: In-House Training This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA™ Certification exam to become a Certified Business Analysis Professional (CBAP™). Learn more at www.iil.com/bacp. Once a business analyst has completed the information gathering and analysis to produce the solution to a business problem, the results must be documented for all stakeholders to see and understand. This course will enhance the skill set needed for writing and managing the complex readership that business analysts interact with on a day-to-day basis. What you will Learn Upon completion, participants will be able to: Write an understood requirements document that is approvable and acceptable Validate a requirements document Manage the changes to requirements documents through the SDLC Foundation Concepts The role of the business analyst An introduction to the BABOK® Guide The business analyst and the product/project life cycle The requirements documentation process Planning for Effective Requirements Documentation Overview of requirements planning Planning for validation Planning for verification: well-formed criteria Planning for verification: understood and usable criteria Writing Effective Requirements Documents Overview of writing requirements documents Using a standard structure / template Applying formatting techniques Meeting the challenge of writing non-functional requirements Baselining Requirements Documents Overview of the requirements baseline process Validation Verification Approval Managing Requirements Change through the Product Life Cycle Overview of requirements change management Establishing a formal change management process Tracing requirements through design and development (build, test, and implementation) Following through to post-implementation (transition and early production)

HP iMC for engineers training course description A hands on course focusing on network management using HP iMC on Microsoft Windows or UNIX. What will you learn Describe the network management architecture. Use HP NNMi. Diagnose faults using HP iMC. Recognise the MIB structure. HP iMC for engineers training course details Who will benefit: Network administrators. Network operators Those wishing to find out more about how their NMS works Anyone wishing to implement NFV using OpenStack. Prerequisites: Introduction to Virtualization Duration 2 day HP iMC for engineers training course content Network management What is network management? Benefits, issues. Getting started with HP iMC Starting HP iMC, IP discovery, IP monitoring, controlling IP discovery. Hands on Initial HP iMC configuration. Using HP iMC Viewing devices, Device view, IP view, network view, polling. Hands on Using HP iMC. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. Hands on Configuring network devices for HP iMC. Parts of SNMP SNMP architecture, MIBs, The protocol. HP iMC SNMP configuration. Hands on HP iMC SNMP configuration. MIBs The MIB2 groups, additional MIBs, MIB compilers, vendor MIBs. HP iMC MIB loader and browser. Hands on MIB browsing. Monitoring devices Polling, obtaining MIB information. Hands on HP iMC performance management. Configuration and change management Configuration templates, software library, configuration compare, configuration audit and reports. Hands on Using the configuration center. Reports Report templates, Real time reports, scheduling reports. Hands on Using real time reports. HP iMC fault management Alarms, polling, fault management, setting thresholds and configuring traps. Syslog. Hands on Working with alarms. Security alarms.

Project Requirements Management Poor requirements definition and lack of adequate change control procedures to requirements and scope are the primary contributors to project difficulty and failure. This workshop will provide you with the knowledge, tools, and techniques required to minimize or avoid these pitfalls. What You Will Learn You'll learn how to: Explain the Requirement Management process within the project lifecycle Understand requirements terminology and structure for definition and development Apply and evaluate techniques to identify and draw out requirements from people, places, and things Create models to conceptualize the requirements landscape and communicate effectively with stakeholders Indicate the importance of requirements prioritization Write SMART requirements using structured language skills Understand how to apply checklists, questionnaires, and document templates in the requirements development process Verify and validate requirements to support project success Effectively manage changing requirements across the project lifecycle Requirements Framework Requirements definitions The importance of requirements Type of requirements Developing Requirements: The Process High-level requirements development and management process Stakeholder involvement in requirements management Progressive elaboration in requirements management Elicit Requirements Requirements-Gathering Approach Sources of Information Requirements-Gathering Techniques Analyze Requirements Models and Requirements Using Use Cases Prioritizing Requirements Specify Requirements Specifying Requirements Essential Technical Writing Skills SMART Requirements Quality Attributes Monitor and Control Requirements Why and When Requirements Change Change Management and Control Requirements Traceability Validating and Verifying Requirements Validating Requirements Verifying Requirements Using Checklists

Project Contract Management Skills Contracts are a critical part of most large or strategic projects/programs. As such, it is imperative that Project and Program Managers be well versed on basic implications of a contract as well as best practices in contract management. While not as critical a need, anyone involved in projects that involve external relationships should have a healthy appreciation for the power of good contract management. The overall goal of the course is to provide knowledge to manage complex contracts in a global environment. What You Will Learn After this program, you will be able to: Explain overall project procurement process from a buyer and seller perspective Recognize the importance of key contractual terms and how they affect projects Evaluate and contribute to the pre-contract documents and processes Identify and mitigate common pitfalls throughout the procurement process Utilize techniques to administer contracts Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The Importance of Contract Management Terms and Definitions Contract Management Process Legal Systems Codes of Conduct Planning Business Analysis Procurement Management Plan Procurement Statement of Work (SOW) Common Pitfalls Solicit Contract Market Analysis Bid documents Sellers' Proposals Pitfalls Execute Contract Evaluate and Award Contract Negotiate Contract Execute Contract Common Pitfalls Deliver the Contract Preparing to Deliver Project Plan Risk Management Common Pitfalls Administer Contract Enabling Contract Management Contract Performance Monitoring and Control Change Management Financial Management / Payment Dispute Management & Resolution Contract Completion and Closure

Project Contract Management Skills: In-House Training Contracts are a critical part of most large or strategic projects/programs. As such, it is imperative that Project and Program Managers be well versed on basic implications of a contract as well as best practices in contract management. While not as critical a need, anyone involved in projects that involve external relationships should have a healthy appreciation for the power of good contract management. The overall goal of the course is to provide knowledge to manage complex contracts in a global environment. What You Will Learn After this program, you will be able to: Explain overall project procurement process from a buyer and seller perspective Recognize the importance of key contractual terms and how they affect projects Evaluate and contribute to the pre-contract documents and processes Identify and mitigate common pitfalls throughout the procurement process Utilize techniques to administer contracts Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The Importance of Contract Management Terms and Definitions Contract Management Process Legal Systems Codes of Conduct Planning Business Analysis Procurement Management Plan Procurement Statement of Work (SOW) Common Pitfalls Solicit Contract Market Analysis Bid documents Sellers' Proposals Pitfalls Execute Contract Evaluate and Award Contract Negotiate Contract Execute Contract Common Pitfalls Deliver the Contract Preparing to Deliver Project Plan Risk Management Common Pitfalls Administer Contract Enabling Contract Management Contract Performance Monitoring and Control Change Management Financial Management / Payment Dispute Management & Resolution Contract Completion and Closure

Effecting Business Process Improvement Business analysts facilitate the solution of business problems. The solutions are put into practice as changes to the way people perform in their organizations and the tools they use. The business analyst is a change agent who must understand the basic principles of quality management. This course covers the key role that business analysts play in organizational change management. What you will Learn You will learn how to: Define and document a business process Work with various business modeling techniques Perform an enterprise analysis in preparation for determining requirements Analyze business processes to discern problems Foundation Concepts Overview of business analysis and process improvement Defining the business process Introducing the proactive business analyst Focusing on business process improvement for business analysts Launching a Successful Business Process Improvement Project Overview of the launch phase Understanding and creating organizational strategy Selecting the target process Aligning the business process improvement project's goals and objectives with organizational strategy Defining the Current Process Overview of current process phase Documenting the business process Business modeling options: work-flow models Business modeling options: Unified Modeling Language (UML) model adaptations for business processes Analyzing the Current Process Process analysis overview Evaluation: establishing the control group Opportunity techniques: multi-discipline problem-solving Opportunity techniques: matrices Building and Sustaining a Recommended Process Overview of the recommended process and beyond Impact analysis Recommended process Transition to the business case Return to proactive state

Effecting Business Process Improvement: In-House Training Business analysts facilitate the solution of business problems. The solutions are put into practice as changes to the way people perform in their organizations and the tools they use. The business analyst is a change agent who must understand the basic principles of quality management. This course covers the key role that business analysts play in organizational change management. What you will Learn You will learn how to: Define and document a business process Work with various business modeling techniques Perform an enterprise analysis in preparation for determining requirements Analyze business processes to discern problems Foundation Concepts Overview of business analysis and process improvement Defining the business process Introducing the proactive business analyst Focusing on business process improvement for business analysts Launching a Successful Business Process Improvement Project Overview of the launch phase Understanding and creating organizational strategy Selecting the target process Aligning the business process improvement project's goals and objectives with organizational strategy Defining the Current Process Overview of current process phase Documenting the business process Business modeling options: work-flow models Business modeling options: Unified Modeling Language (UML) model adaptations for business processes Analyzing the Current Process Process analysis overview Evaluation: establishing the control group Opportunity techniques: multi-discipline problem-solving Opportunity techniques: matrices Building and Sustaining a Recommended Process Overview of the recommended process and beyond Impact analysis Recommended process Transition to the business case Return to proactive state

Project Management Office The goal of this course is to equip the participant with the necessary knowledge and skills to establish, improve, and support a project management office (PMO) that is the catalyst for portfolio and delivery management excellence. This course addresses the complexities of both understanding and choosing the correct PMO framework from among several alternatives. Additionally, the typical PMO supporting elements: domains of work, maturity level, and performance metrics, are elaborated. These elements position a PMO to realize and sustain the business value anticipated by the organization. What You Will Learn At the end of this program, you will be able to: Define a PMO and articulate on its benefits to an organization Explain how a PMO facilitates organizational success Differentiate among the varied PMO frameworks Apply to a PMO framework, domains of work, metrics, and organizational maturity Describe the competency frameworks for management functions within a PMO Plan for and implement a PMO to ensure it is of business value Foundation Concepts Definitions and concepts PMO frameworks PMO domains PMO benefits PMO Frameworks Organizational unit PMO Project-specific PMO Project support or services PMO Center of excellence Enterprise PMO PMO Domains I Strategic planning Standards, methodologies, and processes Governance and performance management Organizational change management PMO Domains II Portfolio management Project and program delivery management Administrative support, knowledge, and talent management PMO Metrics and Maturity PMO metrics PMO maturity PMO maturity assessments PMO Implementation Originating and initiating a PMO Developing a PMO implementation plan Implementing a PMO