Event Description:
Speaker Bio:
Business problems cannot be solved without understanding data. Yet, many projects face challenges because of data issues – poor data quality, lack of understanding of business data and insufficient enterprise data integrations. Data science and AI initiatives also fail when undertaken without sufficient data analysis.
Addressing data requirements is an integral part of the analysis process. In this session, you will learn when and how to use three key data analysis techniques
- Data dictionary
- Conceptual data modelling
- Data mapping
Speaker Bio:
Yulia Kosarenko is a speaker, consultant, corporate trainer, and the author of books "Business Analyst: A Profession and a Mindset" and "Foundations of Business Analytics".As the owner of Why Change Consulting Inc., she helps her clients grow mature enterprise architecture and business analysis practices, and plan and execute digital transformation programs.As a Professor of Business Analytics at the Humber Polytechnic, she encourages her students to look for ways to solve business problems using analytics. As a business analysis mentor, she creates videos, articles, and courses for the BA community and encourages business analysts to learn, adapt, and thrive.