Global Data Governance Program Rollout

CASE STUDY

GLOBAL DATA GOVERNANCE PROGRAM ROLL OUT

CLIENT PAIN POINTS

The Challenge

A multinational beverage company wanted to move from pockets of local reporting to a consistent, enterprise-wide approach to data. In Japan, data had grown in departmental silos with overlapping sources and conflicting definitions, which made it hard to get a reliable, end-to-end view of the business. Policies were ad-hoc, access controls uneven, and there was no clear single owner for core data domains.

Beyond organizational gaps, the foundations were missing: no local MDM, no documented cartography of systems and data, and limited awareness of governance practices across teams. The company needed to quickly kick-start a program to stabilize today’s reporting while preparing for tomorrow’s analytics and AI.

EFFORTS

Our Solutions

We launched a structured data-governance program, built to scale:

Ran executive and departmental workshops to surface pain points across the data lifecycle (acquisition → maintenance → dissemination → archival) and to prioritize issues.
Mapped the data landscape (sources, systems, and flows) and created a shared taxonomy for domains, families, KPIs, and key use cases.
Defined roles and responsibilities: sponsors, owners, and stewards; and launched a cross-functional Data Governance Council to give the program clear accountability and cadence.
Delivered core governance assets: data dictionary and catalog, classification standards, business rules, and consolidation/integration guidelines; set up preventative data-quality audits and a practical documentation hub.
Embedded change management with regular communications, templates, and a prioritized roadmap so the program would operate as an ongoing capability, not a one-off project.

OUTCOMES

The Results

Diagnosed the four systemic issues blocking trustworthy analytics: redundant data, lack of an exhaustive view of data models, unclear ownership, and business processes that weren’t understood or documented.
Equipped teams with methodologies, tools, and templates to deploy and maintain governance practices across business units, turning sporadic efforts into a consistent program.
Established a durable, business-led governance model via the Data Governance Council and stewardship framework, building a data-oriented culture and positioning the company for upcoming initiatives such as AI-enabled use cases.