Data Strategy and Governance
Ownership, quality, lineage, interoperability, master data, analytics, AI readiness, privacy, security, and data-as-an-asset.
The business problem
Data is abundant and still difficult to trust, share, or use. AI, analytics, and operations all suffer as a result.
Harold’s point of view
Data strategy is an operating issue. Ownership, quality, interoperability, and protection determine whether the enterprise can act.
The approach
- Clarify ownership, quality, and lineage expectations.
- Improve interoperability and master-data discipline.
- Prepare data for analytics and AI without ignoring privacy and security.
- Treat data as an enterprise asset with accountable stewardship.
Representative results
The organization can make better decisions, operate more cleanly, and adopt AI on a more trustworthy foundation.
If the Mandate Matters, Begin the Conversation
If your organization is preparing for a major transformation, evaluating its technology leadership, establishing an AI agenda, building a new platform, or seeking an experienced executive who can connect vision with execution, Harold welcomes a confidential conversation.