GSK CH’s Innovation Pipeline was evolving, moreso after a recent merger, and it was imperative to be able to see all the different performance measures in one place across all products launching over the next 5 years, the general layout of the challenge was that: The innovation pipeline therefore can be expected to be broad in terms of quantity, value, and innovation types.

• Data integrity needed to be maintained, that included process setting, stakeholder management, and Data Quality Management automated process design and implementation.
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• Unified metrics and KPIs needed to be captured and reported across all governances of the organization.
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• Insights for prioritization and resource allocation needed to be automated for governance meetings and portfolio leadership.
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The time from analysis to action was extravagant, each governance had its own practices that it wanted to stick to, and the data pipeline was full of inadequate
steps that hinder data integrity. An automated solution was a dire need.