3479 Courses in Swanley

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

Agile PM vs. Waterfall PM (In-Person) The concept of Agile project management refers to the use of a number of tools and techniques that are based on enabling project teams to deliver products to a predetermined and agreed timeline. The concept of Waterfall project management refers to the use of a number of tools and techniques that are based on enabling project teams to deliver products to a pre-determined and agreed specification. The selection of the most appropriate project management method has, historically, been a choice of 'either/or' when it comes to these two approaches. It is now becoming clear that for many projects, the selection of a single project management method does not satisfy the professionalism of the project team nor does it optimize the return on investment for the sponsoring organization. A radically different approach is needed. This course presents an approach to project management which capitalizes on the most appropriate elements of each method tailored to the specific project being undertaken. In this course, the Waterfall approach will be based on the PRINCE2 model. Each method will be presented to highlight its particular strategy and strengths. The course will then propose project scenarios which will require the project team to use a hybrid method which brings together aspects of both methods. The overall goal of the course is threefold: To introduce the Waterfall approach to product development. To introduce the Agile approach to product development. To explore how a combination of both approaches can bring added value to the sponsoring organization and their customers. What you will Learn You'll learn how to: Identify the strengths that the Waterfall approach brings to project work Identify the strengths that the Agile approach brings to project work Exploit the strengths of each method by combining their practices and protocols to maximize the potential for return on investment Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The purpose and importance of project work The drivers for change The roles associated with projects The parameters of project work The significance of project parameters The problem of meeting all parameters The rationale for ranking the parameters for optimal business return on investment The Waterfall Approach to Parameter Optimization What do we mean by 'Waterfall'? Setting, aligning and managing the parameter priorities The PRINCE2® process model The strengths of Waterfall / PRNCE2® The Agile Approach to Parameter Optimization What do we mean by Agile? Setting, aligning and managing the parameter priorities The Agile PM process model The strengths of Agile / Agile PM Options for Implementing PRINCE2® with Agile PM The available tool set(s) Six options for combining both methods The value each option brings to the project The value each option bring to the sponsoring organization Guidelines for experimenting with these and other creative combinations The Challenges for the 'Combination' Project Management Team The sponsoring organization The decision making body within the project The project manager The delivery team

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

Managing Complex Projects: In-House Training As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition

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

Business Intelligence 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

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

Project Estimating and Scheduling Establishing realistic estimates and goals for projects that support business objectives and meet client expectations is one of the most challenging aspects of project planning. Delivering those results within the agreed-upon time, cost, and quality constraints is also challenging. Attempting to meet impossible deadlines with limited budgets often leads to unplanned product shortfalls, causing long-term support and utilization problems. We have all anguished about this recurring problem, but without having the skills or knowledge to take action, we are unable to break the cycle! The goal of this course is for you to be able to support business objectives and meet client expectations by selecting the right planning approach for realistic and cost effective schedules, as well as project budgets. To achieve that, you will focus on gaining the necessary knowledge, skills, and techniques. What You Will Learn At the end of this program, you will be able to: Use the work breakdown structure (WBS) as the basis for effective estimating of project resources Estimate effort and duration using a variety of techniques Develop preliminary schedules using the critical path method Apply a variety of optimization techniques to refine preliminary schedules Establish realistic schedule and cost baselines, with appropriate contingency reserves Explain how earned value management (EVM) contributes to control time and cost performance Foundation Concepts Project management basic definitions and concepts PES Key driver: competing constraints PES Process and success factors Project Definition and the WBS Project definition overview Work Breakdown Structure (WBS) Decomposition: WBS development technique Resource Planning Resource planning overview Identifying resource requirements Identifying and filling resource gaps Applying resource planning tools Effort and Duration Estimating Estimating overview Estimating perspectives and approaches Estimating techniques Effort and duration estimating best practices Project Scheduling Overview of project scheduling Dependencies and the project network diagram Critical path method (CPM) Optimizing the schedule Budget, Risk, and Contingency Planning Overview of budget, risk, and contingency planning Estimating costs Determining the budget Project risk management processes Planning contingency reserves Project Baseline and Control Overview of project baseline Negotiating and the project baseline Earned value management (EVM) Project variances and actions Project control

Use Cases for Business Analysis The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Global Project Management In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. In today's increasingly global environment, managing a project with customers and support organizations spread across multiple countries and continents is a major challenge. From identifying stakeholders and gathering requirements, to planning, controlling, and executing the project, the basic logistics of a global project present their own standard challenges. However, with additional cultural, language-based, and regional elements, global projects involve more complexities than teams often realize. There are unique communication needs, cultural awareness elements, varying customs and work expectations, and critical legal differences to consider. In this course, you will dig deeper-and differently-into project management processes, tools, and techniques, developing the ability to see them through the lens of global and cultural project impacts. This will leverage you to problem solve differently on global projects, prevent problems, and ensure success. The goal is for you to effectively navigate the challenges of leading projects with multi-regional footprints and globally diverse sets of stakeholders. What you Will Learn At the end of this program, you will be able to: Determine when a project meets the criteria of being a true global one Articulate global project needs based on the project grid and framework Identify and analyze global project stakeholders Recognize cultural differences and articulate how they impact project work Determine global project estimating, scheduling, and staffing challenges Assess global project risks and develop problem-solving responses Analyze complex cultural situations and align optimal project communication and negotiation tools and techniques Apply best practices for conducting virtual team work and mitigating virtual challenges Evaluate ways to control for global project scope, cost, and procurement Align customer management best practices with global customer needs Implement key global project closing activities Foundation Concepts What is a global project? What makes a global project different? A global project management framework Initiating the Global Project Launching a global project Respecting cultural differences Identifying and analyzing stakeholders Developing the communications plan Defining the ideal global project manager Crafting a global project charter Planning the Global Project Gathering requirements for a global project Defining the scope, region by region Estimating and scheduling for global projects Staffing the global project Developing the global risk management plan Executing the Global Project Managing global stakeholder expectations Embracing cultural diversity Honing global negotiation techniques Procuring goods and services on a global basis Managing global legal and regulatory issues at the micro and macro level Monitoring and Controlling the Global Project Status reporting Virtual communication Cost control Schedule control Scope control Customer satisfaction Closing the Global Project Contract closure at the macro and micro levels Administrative closure with global reach Lessons learned