59275 Courses

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

Implementing Scrum for Teams: In-House Training Scrum is an iterative, incremental framework for developing products. It allows the team to deliver a potentially shippable set of functionalities for each iteration, providing the agility needed to respond to rapidly changing requirements. These characteristics have led to Scrum becoming the most popular method in the world of Agile projects. This two-day course provides a practical approach to implementing the Scrum method on your projects. You will learn how to initiate a Scrum project, how to build a Product Backlog, containing user stories, and how to plan and estimate releases and iterations. You will learn how to conduct Scrum events, such as the Sprint Planning Meeting, and how to track progress during an iteration. You will apply what you learn in a series of hands-on, team-based activities and simulations that take you through the entire Scrum process. The overall goal of the course is to enable you to successfully apply the Scrum method on appropriate projects in your environment. What you will Learn At the end of this program, you will be able to: Teach-back Agile and Scrum foundation concepts Initiate a Scrum Project Conduct Team Sprint Planning and Sprint Review meetings Develop Release Plans (including effective user stories and priorities) Build a Sprint plan (including effective estimates) Executive a Sprint (including essential Scrum ceremonies) Implement Scrum in your environment Foundation Concepts Agile Mindset, Values, and Tenets Agile Benefits and Methods Scrum Overview Teams: Self-Managing, Self-Organizing, and Self-Improving Initiating a Scrum Project 'Sprint Zero' Activities Defining the Vision The Product Backlog and User Stories Acceptance Criteria Story Map Planning Releases Planning releases Estimating user stories Prioritizing user stories Selecting a Sprint length Estimating velocity Creating a release plan Planning a Sprint The Sprint Planning Meeting Building the Sprint Backlog Creating a Sprint Plan Running a Sprint Conduct a Sprint Burn-down and Burn-up Charts Negotiating Changes During a Sprint The Sprint Review Meeting Sprint Retrospective Releasing into Production Closing the Scrum Project Implementing Scrum Scrum Simulation Exercise Conditions of Success for Implementing Scrum

Scrum Master Exam Prep This workshop prepares you for the Scrum.org Professional Scrum Master (PSM)™ I certification. A voucher for the exam and the access information you will need to take the exam will be provided to you via email after you have completed the course. NOTE: If you have participated in any of IIL's other Scrum workshops, you can bypass this program and focus on reading/studying the Scrum Guide and taking practice exams from Scrum.org. A Scrum Master helps project teams properly use the Scrum framework, increasing the likelihood of the project's overall success. Scrum Masters understand Scrum values, practices, and applications and provide a level of knowledge and expertise above and beyond that of typical project managers. Scrum Masters act as 'servant leaders', helping the rest of the Scrum Team work together and learn the Scrum framework. Scrum Masters also protect the team from both internal and external distractions. The Professional Scrum Master™ I (PSM I) certificate is a Scrum.org credential that enables successful candidates to demonstrate a fundamental level of Scrum mastery. PSM I credential holders will grasp Scrum as described in The Scrum Guide™1 and recognize how those concepts can be applied. They will also share a consistent terminology and approach to Scrum with other certified professionals. Scrum.org does not require that you take their own sponsored or any preparatory training. However, training can facilitate your preparation for this credential. And this course is based on IIL's Scrum Master Workshop, which is aligned with The Scrum Guide™ and was built based on PSM I credentialed expertise. It will provide you with the information you need to pass the exam and IIL will make the arrangements for your online exam. You will be provided with an exam code and instructions, so that you can take the exam at your convenience, any time you are ready after the course. Passwords have no expiration date, but they are valid for one attempt only. What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSM I exam Comprehend the Agile Manifesto and mindset Explain the fundamental principles of Scrum, including events, artifacts, and roles Guide the Scrum team in their responsibilities Define Ready and Done Write requirements in the form of user stories Estimate using planning poker and prioritize using MoSCoW Facilitate the team through the 5 Sprint events Fulfill the role of Scrum Master in a Scrum project Create Information Radiators to enable transparency Define the structure of the retrospective Getting Started Introductions Workshop orientation Exam prep preview Foundation Concepts Agile History, Values, and Mindset Introduction to Scrum Scrum events Scrum artifacts Scrum Roles and Responsibilities Product Owner responsibilities Scrum Master responsibilities The Team responsibilities Cross-functional teams Building effective teams The Product Backlog and User Stories The Product Backlog User Stories Definition of Done Backlog grooming Estimating User Stories Story points, planning poker Prioritizing User Stories The Sprint Team capacity and velocity The Sprint Planning Meeting The Sprint Backlog The Sprint Learning to self-manage, self-organize, self-improve Sprint Review and Retrospective Project Progress and Completion The Daily Scrum The Task Board and The Burndown Chart Information Radiators Closing a Scrum Project Summary and Next Steps Review of course goals, objectives, and content Exam prep next steps