Section: Data & analytics.
Subject: Data Analytics – categorization and specifics.
Speaker: Ondřej Kubera, Data Engineering, Consumption & Insights Generation.
Speaker: Ondřej Kubera, Data Engineering, Consumption & Insights Generation.
https://www.linkedin.com/in/ondrejkubera
Ondřej has spent most of his career in IT delivery and consulting, focusing on analytics, including areas such as business intelligence, information management, and data governance. He is passionate about bridging the gap between the business and technical perspectives in the data analytics domain. He graduated from the Czech Technical University in Prague and has experience from a variety of hands-on engineering, as well as client-facing and managerial roles. He has led, designed, and consulted analytics initiatives in major consulting firms, a boutique data intelligence company, and a global pharma company. Most of his analytics projects were international.
Abstract. This session provides a comprehensive exploration of analytics project/activity categorization and understanding. The first part focuses on the methodology of evaluating analytics work activities and effectively categorizing them. It explains the complexity of analytics projects and introduces a conceptual approach for consistent evaluation, utilizing a three-axis framework (Analytics Maturity, Data Maturity, IT Maturity).
Student Learning Outcomes.
Students will be able to understand and discuss:
- different types of analytics projects;
- should be able to categorize new analytics projects properly;
- should be able to explain the complexity of analytics work to non-technical/analytics roles.
You can read the lecture at the link. https://drive.google.com/file/d/1Plfh6rvarUzF3h1bNDBMVMPsSWXmSxBZ/view?usp=sharing
Additional source of information.
https://www.successinanalytics.com/
Students’ impressions of the lecture.
https://docs.google.com/presentation/d/1Aqjvy0ULLcT4c7jHPSCm9pGlI2uPsaXYG1JD1u2SphM/edit?usp=sharing