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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

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

ITIL® 4 Strategist: Direct, Plan and Improve: In-House Training The ITIL® 4 Strategist: Direct, Plan, and Improve course is based on the ITIL® 4 Strategist Direct, Plan, and Improve candidate syllabus from AXELOS. This course is based on the ITIL® 4 Strategist: Direct, Plan and Improve IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This course provides the practical skills necessary to create a 'learning and improving' IT organization, with a strong and effective strategic direction. It was designed to provide practitioners with a practical and strategic method for planning and delivering continual improvement with necessary agility. It covers both practical and strategic elements, making it the universal module that is a key component to both ITIL® 4 Managing Professional and ITIL® 4 Strategic Leader streams. What You Will Learn At the end of this course, participants will be able to: Understand the key concepts of direction, planning, improvement Understand the scope of what is to be directed and/or planned and know how to use key principles and methods of direction and planning in that context Understand the role of GRC and know how to integrate the principles and methods into the service value system Understand and know how to use the key principles and methods of continual improvement for all types of improvements Understand and know how to use the key principles and methods of Communication and Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in direction, planning, and improvement Understand and know how to direct, plan, and improve value streams and practices Course Introduction Let's Get to Know Each Other Course Overview ITIL® 4 Certification Scheme Course Learning Objectives Course Components Course Agenda Exercises Case Study: Axle Car Hire Case Study: HandyPerson on Demand Exam Details Core Concepts of DPI Key Terms Covered in the Module Module Learning Objectives Basics of Direction Basics of Planning Basics of Improvement Other Core Elements DPI through Service Value Chain and Guiding Principles Key Terms Covered in the Module Module Learning Objectives DPI of the SVS DPI of Guiding Principles Role of Direction in Strategy Management Key Terms Covered in the Module Introducing Strategy Management Developing Effective Strategies Implementation of Strategies Key Terms Covered in the Module Module Learning Objectives Managing Risks Making Decisions through Portfolio Management Directing via Governance, Risk, and Compliance (GRC) Introduction to Assessment and Planning Key Terms Covered in the Module Module Learning Objectives Core Concepts of Assessment Conducting Effective Assessments Core Concepts of Planning Assessment and Planning through VSM Key Terms Covered in the Module Module Learning Objectives Introducing VSM Developing Value Stream Maps Knowing More About VSM Measurement, Reporting, and Continual Improvement Key Terms Covered in the Module Module Learning Objectives Measurement and Reporting Alignment of Measurements and Metrics Success Factors and Key Performance Indicators Continual Improvement Measurements and Continual Improvement through Dimensions and SVS Key Terms Covered in the Module Module Learning Objectives Measurements for the Four Dimensions Continual Improvement of the Service Value Chain and Practices OCM Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of OCM OCM throughout DPI and Service Value Chain Resistance and Reinforcement Communication Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of Effective Communication Communication with Stakeholders SVS Development Using Four Dimensions Key Terms Covered in the Module Module Learning Objectives Organizations and People in the SVS Partners and Suppliers in the SVS Value Streams and Processes in the SVS Information and Technology in the SVS

ITIL® 4 Strategist: Direct, Plan and Improve The ITIL® 4 Strategist: Direct, Plan, and Improve course is based on the ITIL® 4 Strategist Direct, Plan, and Improve candidate syllabus from AXELOS. This course is based on the ITIL® 4 Strategist: Direct, Plan and Improve IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This course provides the practical skills necessary to create a 'learning and improving' IT organization, with a strong and effective strategic direction. It was designed to provide practitioners with a practical and strategic method for planning and delivering continual improvement with necessary agility. It covers both practical and strategic elements, making it the universal module that is a key component to both ITIL® 4 Managing Professional and ITIL® 4 Strategic Leader streams. What You Will Learn At the end of this course, participants will be able to: Understand the key concepts of direction, planning, improvement Understand the scope of what is to be directed and/or planned and know how to use key principles and methods of direction and planning in that context Understand the role of GRC and know how to integrate the principles and methods into the service value system Understand and know how to use the key principles and methods of continual improvement for all types of improvements Understand and know how to use the key principles and methods of Communication and Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in direction, planning, and improvement Understand and know how to direct, plan, and improve value streams and practices Course Introduction Let's Get to Know Each Other Course Overview ITIL® 4 Certification Scheme Course Learning Objectives Course Components Course Agenda Exercises Case Study: Axle Car Hire Case Study: HandyPerson on Demand Exam Details Core Concepts of DPI Key Terms Covered in the Module Module Learning Objectives Basics of Direction Basics of Planning Basics of Improvement Other Core Elements DPI through Service Value Chain and Guiding Principles Key Terms Covered in the Module Module Learning Objectives DPI of the SVS DPI of Guiding Principles Role of Direction in Strategy Management Key Terms Covered in the Module Introducing Strategy Management Developing Effective Strategies Implementation of Strategies Key Terms Covered in the Module Module Learning Objectives Managing Risks Making Decisions through Portfolio Management Directing via Governance, Risk, and Compliance (GRC) Introduction to Assessment and Planning Key Terms Covered in the Module Module Learning Objectives Core Concepts of Assessment Conducting Effective Assessments Core Concepts of Planning Assessment and Planning through VSM Key Terms Covered in the Module Module Learning Objectives Introducing VSM Developing Value Stream Maps Knowing More About VSM Measurement, Reporting, and Continual Improvement Key Terms Covered in the Module Module Learning Objectives Measurement and Reporting Alignment of Measurements and Metrics Success Factors and Key Performance Indicators Continual Improvement Measurements and Continual Improvement through Dimensions and SVS Key Terms Covered in the Module Module Learning Objectives Measurements for the Four Dimensions Continual Improvement of the Service Value Chain and Practices OCM Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of OCM OCM throughout DPI and Service Value Chain Resistance and Reinforcement Communication Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of Effective Communication Communication with Stakeholders SVS Development Using Four Dimensions Key Terms Covered in the Module Module Learning Objectives Organizations and People in the SVS Partners and Suppliers in the SVS Value Streams and Processes in the SVS Information and Technology in the SVS

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