Project Risk Management: In-House Training Have you been surprised by unplanned events during your projects? Are you and your project team frequently fighting fires? Well, you are not alone. Uncertainty exists in any project environment. While it's impossible to predict project outcomes with 100% certainty, you can influence the outcome, avoid potential risks, and be ready to respond to challenges that arise. In this course, you'll gain the proper knowledge needed to identify, assess, plan for, and monitor risk in your projects. You'll learn how to set up and implement risk management processes, helping you to minimize uncertainty and achieve more consistent, predictable outcomes as a result. What You Will Learn You'll learn how to: Demonstrate to others how the risk management processes in A Guide to the Project Management Body of Knowledge (PMBOK® Guide) apply to your project's environment, especially for high-risk projects Adapt these processes for a particular high-risk project team's operating principles Explain the importance of using risk management best practices at single and enterprise project levels Lead an initiative to implement risk management best practices in your project environment Foundation Concepts Risk-related definitions The risk management process High-risk projects and project failures Classical failures in implementing risk management Plan Risk Management Project risk management and governance Risk management planning for high-risk projects High-risk variations on a risk management plan Identify Risk Adapting the risk identification process for high-risk projects Recognizing risks spontaneously Confirming and structuring risk events for treatment Wrapping up risk identification for high-risk projects Perform Qualitative Risk Analysis Adapting qualitative risk analysis for high-risk projects Accelerating risk analysis Clearing risk action Wrapping up qualitative risk analysis for the next level Perform Quantitative Risk Analysis Adapting quantitative risk analysis for high-risk projects Ensuring effective risk analyses with data quality assessments Building a foundation for quantitative risk analysis Using discrete quantitative tools Using continuous quantitative tools Wrapping up quantitative risk analysis for high-risk projects Plan Risk Responses Adapting risk response planning for high-risk projects Optimizing active risk response strategies Leveraging contingencies for high project performance Wrapping up risk response planning for high-risk projects Implement Risk Responses Implementing Risk Responses Process Executing Risk Response Plans Tools and Techniques Best Practices Continuous Risk Management Monitor Risks Adapting risk monitoring for high-risk projects Optimizing risk plan maintenance Weaving risk reassessment into the project's progress Maintaining a continuous 'vigil' in high-risk project environments
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Developing the Business Case: In-House Training Business analysts must be able to create business case documents that highlight project benefits, costs, and risks. The business case is based on the real business need to be solved. These become parts of proposals, feasibility studies, and other decision support documents. This course teaches the purpose, structure, and content of a business case. It presents the basic techniques for determining financial ROI, non-tangible benefits, and the probability of meeting expectations. What you will Learn At the end of this program, you will be able to: Perform feasibility studies Justify the business investment to solve the business problem Prepare an effective business case document Plan and implement a business case approval process Foundation Concepts The role of the BA An introduction to the BABOK® Guide The business analyst and the product / project life cycle (PLC) The business case deliverable Introducing the Business Case Process The BA and strategy analysis The BA and the business case process (BCP) The BA during the business case process (BCP) The BA after the business case process (BCP) Importance of defining solution performance metrics Defining the Business Need Overview of defining the business need Business needs: problem / opportunity statement Product vision Objectives and constraints Exploring Business Case Solutions Overview of exploring solutions Solution identification for feasibility Solution definition for analysis Assessing project risks Justifying the Business Case Overview of justifying the business case Qualitative justification Quantitative justification Approving the Business Case Overview of business case approval Developing recommendations Preparing the decision package - documents Preparing the decision package - presentations
Project Management Fundamentals for IT Projects: In-House Training A number of factors impact the new project manager's role within IT - for instance, the need to fully integrate IT into the business improvement process and the advent of distributed technology and Business Process Reengineering. As a result, the range of activities required of a new project manager has greatly increased, as well as the range of people with whom he or she interacts. This workshop enables you to minimize the problems inherent in managing a systems development project. What You Will Learn You'll learn how to: Articulate the benefit of using a project management methodology, processes, and various life cycles for IT projects Articulate on various standards and maturity models that provide benefits to performing organizations that manage IT projects Describe governance, gating, and the processes required for project origination Conduct a stakeholder analysis and describe its benefits throughout the project life cycle Gather good requirements, develop a work breakdown structure (WBS), and establish a baseline project plan Execute against the baseline project plan while managing change and configuration items Monitor and control the project activities using the baseline project plan and earned value management concepts Close the project by conducting scope verification, procurement audits, gathering lessons learned, archiving project records, and releasing resources Getting Started Course goal Course structure Course goals and objectives Foundation Concepts Key definitions and concepts Methodologies, processes, and project life cycles Project success factors and the benefits of standards and models Project Originating and Initiating Originating projects Initiating projects Planning Stakeholder Engagement and Resource Management Planning stakeholder engagement Planning human resources management Developing effective leadership skills Planning Scope and Quality Management Planning project scope Planning project quality Planning Schedule Management Planning project time Identifying schedule activities Sequencing schedule activities Estimating activity resources and time Developing project schedule Optimizing the project schedule Planning Risk and Cost Management Planning for project risks Planning project costs Estimating project costs Developing a project budget Planning Communication and Procurement Management Planning project communications Planning project procurements Project Executing, Monitoring and Controlling, and Closing Project executing Project monitoring and controlling Project closing
Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence
Agile and Scrum Fundamentals: In-House Training The overall goal of the course is to provide learners with the fundamentals of what Agile and Scrum are, and how to effectively apply Agile methods in your projects. What you will Learn At the end of this program, you will be able to: Describe Agile and Scrum foundation concepts Compare and contrast Agile roles to traditional roles Initiate an Agile project Develop Release Plans Build an Iteration Plan Execute an Iteration Implement Agile in your environment Getting Started Introductions Workshop orientation Expectations Foundation Concepts Project Lifecycles What is Agile? Why Agile? A range of Agile methods Focus on Scrum The People Side of Agile A range of Agile roles Focus on Scrum roles Unique characteristics of Agile Teams Building effective Agile Teams Initiating an Agile Project Conducting Sprint Zero Setting the vision Building the Product Backlog and User Stories Defining Acceptance Criteria Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning an Iteration Conducting the Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running an Iteration Executing Sprint activities Using Burn-down and Burn-up Charts Negotiating changes during a Sprint Conducting the Sprint Review Meeting Implementing Agile Conditions of success for implementing Agile and Scrum Implementing Agile Final words
Scrum Product Owner Workshop: In-House Training The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear Vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the Vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's needs The overall course goal is to support you in becoming an effective Product Owner. What you will Learn You'll learn how to: Differentiate between poor, good, and great Product Owner attributes, and their impact on the team, product, stakeholders, and the organization Engage your stakeholders by knowing your customers and market Develop an effective and value-driven Product Backlog Evaluate the Product Owner's role in Scrum's 5 events and team engagement Foundation Concepts Agile foundation Product owner role Product Ownership Product ownership Project vision Understanding your customers and market Personas Stakeholder management and engagement The Product Backlog Epics and user stories Preparing user stories for a sprint The product backlog Visualizing the product backlog Product backlog prioritization Technical debt Sprint Planning and Delivery Sprint planning The sprint Sprint Reviews, Retrospectives, and Closing Sprint reviews Key agile patterns Retrospectives Closing the project
Project Quality Management: In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality