Establish a Data Strategy with a rigorous Data Governance framework — Set clear policies, standardised data definitions, ownership, and accountability
Invest in robust, continuous Data Management — Maintain disciplined processes for data collection, storage, maintenance, and lifecycle management
Define and track Data Quality KPIs
Break down and integrate data silos
Monitor, cleanse and enrich data continuously
Invest in up-to-date, high-quality, representative and unbiased data sets
Promote data literacy and shared standards across teams
Maintain a feedback loop and continuously update AI models
