Data Management: Empirical Decision-Making & Strategic Database Management
October 31 | 9:00-17:00
SSE Riga
EUR 390 + VAT
Unlock the potential of fact-based decision-making with our comprehensive course! Delve into database automation, master essential data principles and governance, and tackle the core issue of data cleaning that consumes 70% of analysts' time. Learn to make your data robust, high-fidelity, and automated, ensuring efficient and accurate insights for your organization.
This course is part of the longer Data Leadership Programme, but it is also available for purchase and completion as a separate course.
Context
The course is designed to equip participants with practical skills in database automation, data governance, and fact-based decision-making. It integrates key concepts from data principles and robust data management to address the critical issue of data cleaning, which occupies 70% of analysts' time. Through a blend of theoretical discussions, hands-on exercises, and real-world case studies, participants will gain the knowledge and tools necessary to automate data processes, ensure high-fidelity data, and drive efficient and accurate decision-making within their organizations.
Faculty
Zane Vārpiņa
Zane is Faculty Advisor at Bachelor and Executive MBA programmes and teaches the Research Methods course to both our Master and Bachelor programme students, as well as Market Research in Bachelor programme.
Zane is Associate Professor at SSE Riga as of 2020 and was Assistant Professor since 2013. Zane has broad researcher experience in the Baltic International Centre for Economic Policy Studies (BICEPS).
Zane holds a PhD in Demography from University of Latvia and has a MA of Science in Mathematical Economics from University of Latvia, June 2003. She also has Inter University Diploma in EU Studies, Universite Nancy II, Ex-en-Provence Institute of Political Science, June 2004.
Rihards Garancs
Rihards is the Executive Education Managing Director at SSE Riga and lecturer in undergraduate and Executive MBA programmes across the Stockholm School of Economics in Riga, Russia, and Hanken Executive Education in Helsinki. He is the Course Director of the Artificial Intelligence, Data Analysis and Business & Leadership Skills courses. He is also the Topic Lead for Digital Transformation at the SSE Riga Institute for Strategy.
Rihards runs a consulting practice that develops Business Intelligence, Data Strategy, Data & Digital capability building solutions; he helps companies & their employees advance in business analytics using the latest digital tools.
Rihards holds a double degree MBA in HEC Paris and National University of Singapore, a BSc in Economics & Business from SSE Riga as well as Data Science certification.
Who should attend
This course is ideal for professionals looking to enhance their skills in database automation, data governance, and robust data management, regardless of their prior experience in data analysis or management.
Benefits for the organization
An employee skilled in database automation and data governance enhances the organization's ability to ensure data accuracy, streamline data processes, and make efficient, fact-based decisions, ultimately maintaining a competitive edge in the market.
Benefits for the participants
Participants will gain mastery in database automation and data governance, empowering them to lead impactful data initiatives, enhance their decision-making capabilities with robust data insights, and drive business success through efficient and effective data management.
Content
- Empirical decision-making
- Strategic database management
- Data principles and governance
Participation fee
EUR 390 + VAT