Roundtable: Building an end to end data strategy for a complex organisation structure
The larger the organisation the more complex the challenges for developing (and implementing) a data strategy. Finding the right balance between centralisation and decentralisation is essential for an efficient data strategy. Likewise, identifying business initiatives and organisational priorities and the data resources required especially if these are siloed in various parts of the organisation.
Building a diverse team of data professionals, technology experts, and key stakeholders from the most impacted business areas is important to form a team capable of addressing complex issues. To maximise the use of AI and machine learning (ML), data must be ready to meet the specific requirements of these programs. This includes ensuring the data is high-quality, secure, and easily integrated into AI models as well as adopting a strong governance framework.
Why should you attend?
- Learn from other practitioners and share your experiences within your peer group
- Create new contacts with other DataIQ members, extend your professional network into the wider community
Format
- 1 hour, digital roundtable delivered via Teams
- Closed forum, open discussion, recruiter and vendor-free, Chatham House rules
- Small and focused group of senior data leaders
Please be aware there are only limited places available on a first come, first served basis (one seat per member company). Priority will be given to senior data leaders and additional registrations will be added to a waitlist.
