Data Governance needs an update for the AI era
In a digital economy, data is one of your most valuable assets. To harness its full potential, organisations must overcome a host of challenges – from consolidating fragmented datasets to extracting insights from unstructured information. Without a thoughtful governance framework, unclear roles and opaque management processes stand in the way.
We help you tackle these obstacles and establish a future-ready framework for managing your data. It sets the right guardrails to create a single source of truth, define responsibilities clearly, and raise data quality to a level where it effectively powers your digital transformation and AI initiatives.
“Modern Data Governance is not an exercise in bureaucracy – it is the foundation for AI and innovation. Only organisations that trust their data can turn it into measurable business value.”
What sets PwC’s Data Governance services apart
Next-generation Data Governance as the key to AI readiness
For many years, Data Governance was often seen as a necessary burden to meet requirements such as GDPR or industry-specific regulations. In the era of Big Data, GenAI and Agentic AI, this view is changing fundamentally. Data Governance is becoming an enabler of data- and AI-driven innovation. It underpins data-processing systems and AI models, which depend on high-quality data, with a robust and reliable foundation. Organisations still grappling with fragmented datasets and unclear data ownership risk falling behind.
Central governance meets decentralised data management
Modern data management approaches such as Data Mesh rely on a federated, domain-based organisation. To provide transparency on which data products exist and who owns them, a central Data Catalogue is essential. The organisational set-up is just as critical as the technical implementation.
That is why, alongside the introduction of catalogue solutions, we establish an appropriate Target Operating Model (TOM). It clearly defines how people, processes and technology interact to make data discoverable, understandable and trustworthy.
The Data Catalogue thus becomes far more than a simple inventory. It acts as an active management instrument for Data Stewards and Data Scientists.
“Data should be managed where subject-matter expertise is strongest. A unifying framework with shared rules ensures interoperability across the organisation.”
Unleash your data potential
Next-level Data Governance for the AI age
How we support you with Data Governance
- Next-gen Data Governance
- Data Catalogue & TOM
- Value Management & KPIs
- Transformation & Gen AI
Next-gen Data Governance
We design and implement next-generation Data Governance that fits seamlessly with modern architecture concepts such as Data Mesh. Our focus is on a domain-based approach that enables business functions to manage data as products. We define roles, responsibilities and processes that promote – rather than hinder – agility and speed. This ensures that Data Governance acts as an enabler of innovation across the organisation.
Data Catalogue & TOM
We design and implement tailored Data Catalogue solutions, precisely aligned to your needs. In parallel, we establish a customised Target Operating Model (TOM) for your data management. We automate key steps in data quality assurance, train your employees in the effective use of the tools, and help embed the remaining processes for maintaining metadata into day-to-day operations.
Value Management & KPIs
Investments in data must pay off. We help you make the value of your initiatives measurable. By introducing specific KPIs and active portfolio management for data projects, we ensure that strategic objectives are met. In this way, we transform data management from a cost centre into a function that can quantify and demonstrate its contribution to business success.
Transformation & Gen AI
We support your data management in critical large-scale projects and major technology shifts. Whether S/4HANA transformation, mainframe decommissioning or meeting complex ESG requirements – we deliver the data quality and data security you need. In addition, we leverage Large Language Models (LLMs) to unlock automation potential in data management and make your processes more efficient.
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