Artificial intelligence is radically transforming how business analysts work. This immersive program will show you how you can incorporate AI into your daily tasks, improve your efficiency and elevate your status within your organization.
Learn how AI-powered tools can automate, accelerate and optimize your work methods at every step of the business analysis process. Using a comprehensive case study inspired by real-world scenarios, you will experiment with various AI tools as you develop a strategic understanding of their impact on your profession.
GOALS
- Understand how the business analyst profession is changing in the age of AI and what the strategic implications are.
- Identify where AI and knowledge management converge.
- Try out powerful AI tools that can be harnessed to benefit your practice.
- Develop a critical mindset and examine the ethical aspects of using AI for business analysis.
- Learn key prompt engineering techniques specific to your role as a business analyst.
IS THIS FOR YOU?
- You are an experienced business analyst interested in leveraging AI to modernize your practice, exploring how it can improve your productivity and learning how it can boost your strategic impact.
- This program is also for product owners, business analyst team managers and project management professionals who want to gain a clearer understanding of how AI can enhance business analysis.
- Professionals who are curious about emerging technologies and eager to experiment with these new tools will also benefit from the program content.
Préalable suggéré : Knowledge of the fundamentals of business analysis or completion of the program The Business Analyst: Partner in Digital Transformation.
SPECIAL FEATURES
- Hands-on approach focused on experimenting with AI tools directly applicable in a professional context
- Comprehensive, step-by-step case study facilitating immediate real-world application
- Up-to-the-minute content covering the latest advances in AI and how they are relevant to the business analysts of today and tomorrow
- A critical, ethics-based approach to using AI to drive business analysis, encompassing bias, confidentiality and governance issues
- Development of prompt engineering skills in line with various business analysis deliverables
- Compliance with the Guide to the Business Analysis Body of Knowledge (BABOK) by the International Institute of Business Analysis and Business Analysis for Practitioners: A Practice Guide, published by the Project Management Institute (PMI)
AI basics and the evolution of the role of the business analyst
- Debunking and defining AI
- Understanding digital transformation and how AI impacts business analysts
- Exploring AI-powered opportunities in each of the BABOK areas of knowledge
The five BABOK areas of knowledge, augmented by AI
- Assessing needs: Establishing objectives, defining the business vision, managing stakeholders
- Gathering and analyzing information: Transcription, transcript analysis, synthesis of business requirements, process and scenario modelling
- Tracking and monitoring: Traceability, detection of conflicts between requirements and repercussions
- Assessing possible solutions: Smart dashboard, predictive analysis and key performance indicators (KPIs)
- Planning: Looking ahead, estimating effort and managing risk
AI, agility and the business analyst’s mindset
- Incorporating AI into agile practices
- Analyzing the analyst’s openness to AI: AI readiness and value stewardship
- Ethics and governance of AI use
TRAINING APPROACH
- Lectures
- Real-world scenarios
- Hands-on experimentation with AI-powered tools and case studies
- Discussions about various concepts
Presentation
Program
Instructors
GOALS
- Understand how the business analyst profession is changing in the age of AI and what the strategic implications are.
- Identify where AI and knowledge management converge.
- Try out powerful AI tools that can be harnessed to benefit your practice.
- Develop a critical mindset and examine the ethical aspects of using AI for business analysis.
- Learn key prompt engineering techniques specific to your role as a business analyst.
IS THIS FOR YOU?
- You are an experienced business analyst interested in leveraging AI to modernize your practice, exploring how it can improve your productivity and learning how it can boost your strategic impact.
- This program is also for product owners, business analyst team managers and project management professionals who want to gain a clearer understanding of how AI can enhance business analysis.
- Professionals who are curious about emerging technologies and eager to experiment with these new tools will also benefit from the program content.
Préalable suggéré : Knowledge of the fundamentals of business analysis or completion of the program The Business Analyst: Partner in Digital Transformation.
SPECIAL FEATURES
- Hands-on approach focused on experimenting with AI tools directly applicable in a professional context
- Comprehensive, step-by-step case study facilitating immediate real-world application
- Up-to-the-minute content covering the latest advances in AI and how they are relevant to the business analysts of today and tomorrow
- A critical, ethics-based approach to using AI to drive business analysis, encompassing bias, confidentiality and governance issues
- Development of prompt engineering skills in line with various business analysis deliverables
- Compliance with the Guide to the Business Analysis Body of Knowledge (BABOK) by the International Institute of Business Analysis and Business Analysis for Practitioners: A Practice Guide, published by the Project Management Institute (PMI)
AI basics and the evolution of the role of the business analyst
- Debunking and defining AI
- Understanding digital transformation and how AI impacts business analysts
- Exploring AI-powered opportunities in each of the BABOK areas of knowledge
The five BABOK areas of knowledge, augmented by AI
- Assessing needs: Establishing objectives, defining the business vision, managing stakeholders
- Gathering and analyzing information: Transcription, transcript analysis, synthesis of business requirements, process and scenario modelling
- Tracking and monitoring: Traceability, detection of conflicts between requirements and repercussions
- Assessing possible solutions: Smart dashboard, predictive analysis and key performance indicators (KPIs)
- Planning: Looking ahead, estimating effort and managing risk
AI, agility and the business analyst’s mindset
- Incorporating AI into agile practices
- Analyzing the analyst’s openness to AI: AI readiness and value stewardship
- Ethics and governance of AI use
TRAINING APPROACH
- Lectures
- Real-world scenarios
- Hands-on experimentation with AI-powered tools and case studies
- Discussions about various concepts