Our experience at DMI has shown that Pharma and Life Sciences companies in the middle of a digital transformation wrestle with a key question: how to transform the right way.
Whether it’s the challenge of finding the right talent to build out digital products, the challenge of settling on the right approach to cybersecurity, or the challenge of leveraging data locked off in company silos – these pain points, along with others, are shared by many in the sector.
In Treating the Pain Points of Digital Transformation in Pharma, we discuss eight common struggles that Pharma and Life Sciences companies face, while also offering practical, workable insights and recommendations:
- How to integrate agile development with waterfall to improve the drug development process. Agile methodologies can help companies capture data more effectively and provide real-time trial data analytics.
- How to build and leverage ecosystems to bridge the talent gap. Partners that increase access to a global talent pool can help to reduce the need to make heavy investments of time and money equipping existing talent to meet digital needs.
- The importance of leveraging expertise early in project planning in order to improve forecasts for completing regulatory approval processes. Project planning teams often lack a comprehensive view of regulatory approval process timelines.
- Why elevating the function of cybersecurity within your organization is critical for developing a long-term, proactive strategy to secure information. The budget for cybersecurity should not fluctuate based on activity from attackers.
- How to become more strategic about the use of market standard technology platforms for process and workflow automation. Companies should not automate processes just because there is a market solution available for a specific process.
- The wisdom of making small improvements to how you collect and monitor data – and then iterate from lessons learned. Focus on interoperability and strengthening business processes that integrate and optimise data analytics.
- The importance of prioritising unified, digitally-enabled experiences. Standardised data architectures ensure a unified experience that all groups can benefit from.
- How to strategize around the concept of long-term interoperability between new initiatives and legacy systems. Fostering the right data standards and best practices related to architectures will greatly benefit your company moving forward.
To go much deeper on each of these pain points, download our white paper Treating the Pain Points of Digital Transformation in Pharma today.
Our experience at DMI has shown that Pharma and Life Sciences companies in the middle of a digital transformation wrestle with a key question: how to transform the right way.
Whether it’s the challenge of finding the right talent to build out digital products, the challenge of settling on the right approach to cybersecurity, or the challenge of leveraging data locked off in company silos – these pain points, along with others, are shared by many in the sector.
In Treating the Pain Points of Digital Transformation in Pharma, we discuss eight common struggles that Pharma and Life Sciences companies face, while also offering practical, workable insights and recommendations:
- How to integrate agile development with waterfall to improve the drug development process. Agile methodologies can help companies capture data more effectively and provide real-time trial data analytics.
- How to build and leverage ecosystems to bridge the talent gap. Partners that increase access to a global talent pool can help to reduce the need to make heavy investments of time and money equipping existing talent to meet digital needs.
- The importance of leveraging expertise early in project planning in order to improve forecasts for completing regulatory approval processes. Project planning teams often lack a comprehensive view of regulatory approval process timelines.
- Why elevating the function of cybersecurity within your organization is critical for developing a long-term, proactive strategy to secure information. The budget for cybersecurity should not fluctuate based on activity from attackers.
- How to become more strategic about the use of market standard technology platforms for process and workflow automation. Companies should not automate processes just because there is a market solution available for a specific process.
- The wisdom of making small improvements to how you collect and monitor data – and then iterate from lessons learned. Focus on interoperability and strengthening business processes that integrate and optimise data analytics.
- The importance of prioritising unified, digitally-enabled experiences. Standardised data architectures ensure a unified experience that all groups can benefit from.
- How to strategize around the concept of long-term interoperability between new initiatives and legacy systems. Fostering the right data standards and best practices related to architectures will greatly benefit your company moving forward.
To go much deeper on each of these pain points, download our white paper Treating the Pain Points of Digital Transformation in Pharma today.
