Thanks to this Postgraduate Diploma in Business Intelligence You’ll gain first-hand insight into how to develop and implement an innovative business model based on the data analysis provided by the computer science. Once you have completed the course, you will be fully equipped to manage large-scale projects, analyse them and implement them in any type of organisation. Furthermore, you will gain an in-depth understanding of Big Data-based analysis methodologies and begin to explore the processes managed using BPM and BPI. Finally, you’ll have the chance to take a closer look at the business you run, or the one you work for, so that you can implement changes – or at least suggest them – with a view to improving the cost-effectiveness of your processes.
Business Intelligence
Introduction
Objectives
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To study in depth the concept of business intelligence and everything related to it.
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To learn about the tools required for the analysis and project implementation.
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To have the opportunity to learn techniques relating to data analysis.
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Discover how to manage organisational processes in a company.
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Learn how to to build and interpret information based on the BMP and BPI.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO BUSINESS INTELLIGENCE
1. Definition of Business Intelligence
2. Collection and analysis of information
3. The benefits and purposes of business intelligence
4. Strategic decision-making
TEACHING UNIT 2. BUSINESS MODELLING
1. Definition of a business model
2. The impact of changes to the business model on the bottom line
3. The importance of an optimal business model design
4. Key indicators
TEACHING UNIT 3. DATA MODELS
1. The usefulness of the entity-relationship model
2. Star diagrams
3. "Snowflake" diagrams"
4. An introduction to granularity
TEACHING UNIT 4. COMPONENTS OF BUSINESS INTELLIGENCE
1. Components of business intelligence
2. Sources of information
3. The process of extracting, transforming and cleaning data, or ETL
4. Essential tools for business intelligence
5. OLAP tools
TEACHING UNIT 5. BUSINESS INTELLIGENCE PROJECTS
1. The need for business intelligence project planning within the organisation
2. Project objectives
3. Assessment of resources and timeframes
4. Stages in project planning
5. Key factors determining the success or failure of the project
TEACHING UNIT 6. SELECTION OF BUSINESS INTELLIGENCE TOOLS
1. Staff training and engagement
2. Informal process for selecting tools and suppliers
3. Formal supplier selection process
4. Business intelligence products and suppliers
TEACHING UNIT 7. ANALYSIS OF PROJECT IMPLEMENTATION
1. Stages of the business intelligence project implementation analysis
2. Description of the project and the company
3. Project start-up phase
4. Project planning: objectives, scope and risks
5. Data model design
6. Project implementation
7. Completion and evaluation of the project
8. Feedback and self-learning
TEACHING UNIT 8. NEW TRENDS
1. Quality and presentation of the information generated by BI
2. Outsourcing the business intelligence process
3. The productivity paradox
4. Adoption of a single solution
5. New trends in business intelligence tools
TEACHING UNIT 9. BIG DATA AND BUSINESS INTELLIGENCE (BI)
1. What is Big Data?
2. The Age of Massive Amounts of Information: The History of Big Data
3. The importance of storing and retrieving information
4. Rules for Big Data
5. Business-focused Big Data
6. Open Data
7. IoT (Internet of Things)
TEACHING UNIT 10. AN INTRODUCTION TO CLOUD COMPUTING
1. The origins of cloud computing
2. What is cloud computing?
3. Characteristics of cloud computing
4. The cloud and business
5. Basic cloud models
TEACHING UNIT 11. FUNDAMENTALS OF BUSINESS PROCESS MANAGEMENT
1. Introduction to business processes
2. Systematic organisational structure
3. The concept of a system and its operation
4. Functional organisational structures
5. The cross-functional nature of operations
6. Shortcomings in the organisational chart
7. Horizontal organisation
8. Processes and typologies
9. Information technology in business processes
10. Processes in new organisational structures
11. Process standardisation
TEACHING UNIT 12. BUSINESS PROCESS MANAGEMENT
1. The concept of Business Process Management (BPM)
2. BPM business initiatives
3. The objectives of BPM
4. Applications for developing BPM
TEACHING UNIT 13. BPM METHODOLOGY
1. An Introduction to the Process Life Cycle using BPM
2. Business process modelling and analysis
3. Business process simulation
4. The BPM runtime environment
5. Business Activity Monitoring (BAM)
6. Key factors for a BPM project
TEACHING UNIT 14. BPM TECHNOLOGIES AND SOLUTIONS
1. Definition of a Business Process Management System (BPMS)
2. Criteria for evaluating BPM solutions
3. Practical exercise on BPM
TEACHING UNIT 15. BUSINESS PROCESS INTELLIGENCE (BPI)
1. Fundamentals of Business Intelligence
2. Business Process Intelligence
3. Process Mining