Pioneering a Data Strategy to Support Pharmaceutical Operations and Technology

摘要

Regardless of industry, maximizing the value of data has become an important objective in the digital age. As more pharmaceutical operations find themselves tasked with building long-term digital strategies, the most fundamental goal is to maximize the value of data for patients. Developing a comprehensive strategy for how a business manages its data is not easy, especially when it involves changes to the workforce, existing business processes, and technology choices. It requires executive sponsorship and building a case for change. Once committed to designing and implementing a data strategy, an organization can start to treat data, information, and knowledge as assets; moreover, business critical assets ARE guided data principles, governed by policies, managed as capabilities, and built up by frameworks. In order to prioritize future investment decisions, assessing data maturity and measuring progress towards a future state will lead to a sustainable data program. This article was adapted from a presentation given during the Information Architecture session at the IFPAC (International Forum for Process Analytics & Control) Conference in February, 2021. It focuses on why to build a data strategy and steps to build one.