Organizations can prepare for a successful data strategy by keeping these key points in mind:
- Meeting the demands of clinical trials requires data with sufficient breadth, quantity, quality, timeliness, and accessibility.
- Preparing to meet these demands is best accomplished by establishing a data strategy.
- Complementary analytics and standards strategies are required for a successful data strategy implementation.
- Automation is a prerequisite to sufficiently meet the data demands for supporting clinical trials.
- A data strategy focuses on what data is needed and how it should be presented to the data consumers; a digital strategy focuses on the tools and techniques to achieve the data strategy goals.
- To meet the needs of individual business units, each unit should independently define their unit’s data strategy.
- Clinical data requires a strong defensive data strategy as foundation as well as a complementary analytics and standards strategy. Environmental drivers are pushing towards adoption of more offensive capabilities as well.
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