Health and clinical data strategy

We assist organisations in establishing efficient data collection mechanisms that are regulatory compliant and lay the foundation for accurate reporting and traditional architecture.

We offer our clients solutions for data management and governance, helping businesses to build trust in your data through quality, integrity, and security across your lifecycle.

We provide analytics services, utilising forecasting, planning, comparative and predictive advanced statistical techniques, that enable you to use data for critical decision-making processes and incorporate data analysis into daily workflows.

The firm helps in transforming data governance capabilities to drive sharper customer insights.

We support organisations in optimising business performance and improving customer service experiences through actionable data-driven strategies.

We enable your organisation in achieving data monetisation, which can deliver direct business benefits by impacting the top line. This includes defining data sharing goals aligned with the overall data strategy and facilitating the data sharing journey.

We will help you to establish a data glossary and catalogue with a consistently defined format for all data points, allowing easy reference to location and definition of data points, and to understand and identify the scope of their existing data asset pool.

Involves understanding the potential use cases for data to improve internal operations and/or to support external stakeholders, allowing you to understand how your data pool can create value internally and externally, and gives you a view of the size of these opportunities.

Involves managing the storage space and requirements for each system in a way that allows easy but secure access and sharing across systems.

Involves packaging data consistently across systems and providing access guidelines for shared data to enable effective usage across systems.

Both the storage and provision components will allow captured healthcare data to be efficiently and easily stored, but securely accessed across systems.

Involves processing raw packaged data to a ‘ready to use’ format for analytics or external sharing with third parties, enabling the usage of advanced analytics tools on health data, and creating the opportunity for data monetisation.

Refers to the exercise of authority and control over how data assets are managed, used and shared both internally as well as externally.