Although the drug market access profile has been evolving for several years now, the analytics that help these profiles do their job has not evolved in the same way as the analytics to cover commercial excellence or sales force roles.
Manufacturing is a process involved in just about every industry – from consumer-packaged goods to pharmaceuticals. With such widespread applications and meticulous practices, how are businesses effectively keeping track of their data?
Data Governance is often thought of as "nice to have" rather than a crucial business function. Executives frequently put other topics on the list of priorities, but Data Governance is essential for an effective data-driven strategy.
Avoid stocking issues, execute more efficient promotions, and learn the best communication channels to maximize your sales and competitive advantage this holiday season.
We are not revealing anything new if we say that there are two topics on the agenda of the vast majority of companies in the pharmaceutical industry today: omnichannel and artificial intelligence.
Applying AI/ML techniques to accelerate the acquisition and integration of structured and unstructured data, ultimately generating deeper, more relevant insights in a compliant framework.
Data Governance is often thought of as "nice to have" rather than a crucial business function. Executives frequently put other topics on the list of priorities, but Data Governance is essential for an effective data-driven strategy.
Avoid stocking issues, execute more efficient promotions, and learn the best communication channels to maximize your sales and competitive advantage this holiday season.
