How Data Leaders Modernise Databases for Analytics and AI
Built for CDOs and technology leaders responsible for database performance, cost, and platform readiness.
Legacy database estates often become a barrier to modern analytics and AI. Rising licence costs, rigid architectures, and performance limitations make it difficult to support cloud, self-service analytics, and data-intensive workloads. As data platforms evolve, database modernisation has become essential to maintaining flexibility and control.
Effective data leaders assess readiness, modernise towards cloud and open platforms, and reduce dependency on costly, inflexible systems.
Prolifics supports database migration and modernisation initiatives that improve performance, lower operational costs, and prepare database estates to support analytics and AI at scale.
See how database modernisation delivers results
Read our Customer Case Study to see proven results from a real database modernisation project, including:
Reduction in estimated migration costs from $2M to $700K through a phased, metrics-driven migration approach
Elimination of 20–40% of legacy data processes, reducing long-term operational and maintenance costs
Consolidation of fragmented data into a single modern data warehouse, improving performance and manageability
On-demand analytics to support pricing, segmentation, regulatory reporting, and business decision-making.