Traditional IT systems and processes can no longer meet the expectations of life science organizations given the growth of information sources, nuanced engagement models, and myriad of stakeholders to manage.
There is also a clear consensus on the need to engage seamlessly across an evolving ecosystem of digital, personal, and 3rd-party channels to connect various artifacts of data. This is not a mere tactical business operation, but an actual value-driven activity to realize uncapped business value and drive actionable insights for the business. From supporting scientific innovation to designing new commercial model designs, life science businesses are using a use-case-driven approach to define the right data strategy. Having supported 20+ customers with different maturity indexes of data strategy, the IQVIA team has grouped data strategy success metrics into the following categories:
Going forward, life science organizations will need to follow a rational and logical business plan to create a strong enterprise grade data strategy that helps unlock the true value of data and supports an optimized data to insights journey. IQVIA supports life science companies by defining and execute their data-strategy and can partner across all aspects of the information management framework.