The Demand Planning process is a critical part of overall supply chain management for a company. It involves forecasting the future demand for a company's products or services and planning how to effectively meet that demand.
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.
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.
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.
Generating value with the data you have is synonymous with optimizing the “data value chain.” This concept of a value chain alludes to a process of transforming data into information and then converting it into business insights for making decisions and designing strategies.
Making business decisions based on the analysis of data must be done in conjunction with a company’s overall strategic goals. Without knowing what these said goals are, it is impossible to prioritize using data correctly.
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.
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.
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.
