Today, more than ever, the rapid evolution of the digital economy has led institutions to focus increasingly on facilitating access to data that helps to fulfill their objectives and purposes by providing a smart base for vital decisions at all administrative levels. The importance of data management and governance is self-evident in enabling all stakeholders to obtain the current, accurate and relevant information they require to make sound decisions. In fact, the application of data management and governance policies and methodologies has become essential to ensuring the visibility, reliability and accessibility of data.
Workshop Themes
Data management:
- The importance of data management and its objectives
- Presenting the key concepts of data management
- Risks and challenges of building a successful data management system within the institutions.
Data governance:
- The importance of data governance, and its objectives
- Understanding the key concepts of data governance
- Data governance frameworks and best practices
- Risks and challenges of building successful data governance ecosystems in institutions.
Case studies:
- Presenting examples of data management, and data governance in the workplace, with a particular focus on challenges, and successes
- Reviewing key outcomes of the workshop.
Workshop Speaker
Eng. Ghassan Dhabban- Naseej eSolutions manager.
- Data governance specialist.
- 20+ years’ experience in e-services development, operation and management.
- 10+ years’ experience in digital transformation design and implementation.
Date and Time
- March 6, 2023
- 9:00 a.m. – 1:00 p.m. (including a tea break)
Workshop Cost
- Free for who paid 2023 SLA/AGC conference’s registration fee.
- 30 KWD for non 2023 SLA/AGC Conference’s registrants.
Registration Notes
- Seats are limited, priority for early bird who paid the conference or workshop fee
- The registration will be only for one of the two workshops, as both workshops will be conduct simultaneously.
- The registration will be closed when it reaches the identified numbers
