Establishing and operationalizing the enterprise Data & AI function
Our Hyght team member successfully facilitated an interim role as Chief Data & AI Officer for a mid-size Pharma, reporting directly to the global CIO. The primary responsibility was to define and execute the global data strategy, which was accomplished by establishing and implementing a enterprise data governance framework.
at a glance
Company Size
mid-size
Location
France
Period
01/2021 - 12/2021
Industry
Life Sciences
Main Services
Data & AI Strategy
Collaboration Project
Implementing data governance and
enabling AI use case delivery at scale
01
Challenges
- Lack of a clear understanding of data: One of the biggest challenges is the lack of a clear understanding of the data that the organization collects and uses.
- Siloed data: Data silos, where data is stored in different systems and not easily findable and accessible to other parts of the organization.
- Data quality issues: Poor data quality can lead to multiple efforts for data harmonisation, inaccurate insights, which can in turn lead to bad decision-making.
- Lack of data governance: Limited clarity about clear ownership of data, no standardized processes for data management, and no clear policies for data usage.
- Security and privacy concerns: Data breaches and privacy violations can have serious consequences for organizations, including legal and reputational risks.
02
Procedure
- Business Vision Understanding: Conducted interviews with EVPs/SVPs to understand business vision, objectives, and data challenges.
- Strategy Formulation: Consolidated challenges and formulated a strategy aligned with the company’s vision and EVPs/SVPs.
- Data Governance Awareness: Raised awareness about data governance among CEOs, EVPs, and SVPs, emphasizing its role in achieving their objectives.
- Unified CDOA setup:Â Devised a proposal for merging Analytics/AI capabilities with data management for a coordinated business and data roadmap.
- Data Governance Framework: Defined and tested a data governance framework within a compliance initiative, and established a data governance council for cross-functional data discussions.
Results
- Scalability: Facilitated high-value use case delivery with reusability and economies of scale.
- Cross-Function Alignment: Achieved alignment across business functions for scalable solutions.
- Data Governance: Ensured program success by integrating data governance into S4/HANA migration.
- Data Harmonisation: Increased time-to-data and improved customer experience by harmonising HCP/HCO data.
- Data-Driven Strategy: Incorporated data consideration into all strategic initiatives.
Project Highlights
01
The first data governance council on Executive Vice President (CEO-1) level was facilitated after 5 months where data became part of the executive agenda.
02
One of the key achievements was the implementation and onboarding of first data governance roles around product master data for IDMP purposes.
03
An AI Operating Model and a vendor strategy was defined that ensured the customer could deliver AI use cases at scale.
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