Before partnering with VUPICO, our client faced significant challenges in managing its global master data landscape. The organization operated across multiple regions—APAC, Europe, and North America—each with varying business entities, systems, and data practices. This complexity resulted in inconsistent data standards, duplicated records across platforms, and a lack of a unified source of truth. Manual processes and fragmented governance further amplified issues. The absence of centralized workflows led to inefficiencies, limited auditability, and a reliance on local knowledge to resolve data discrepancies. Workarounds were frequently used to maintain business continuity, masking underlying quality issues and limiting the capacity for root-cause analysis. Additionally, the company struggled with a complex workflow approval hierarchy, where inconsistent delegation and approver awareness delayed critical data updates. As the business scaled and integrated new entities, the burden of maintaining high data quality across time zones, languages, and regulatory environments became increasingly unsustainable. These challenges not only affected operational efficiency but also posed risks to compliance and strategic decision-making.
To address these challenges, our client engaged VUPICO as its specialized Master Data Management (MDM) partner. VUPICO implemented a comprehensive, global MDM support model that provided consistent and high-quality data maintenance across the company’s operations in APAC, Europe, and North America. The solution covered end-to-end master data services, including maintenance, quality assurance, stewardship, and governance. VUPICO deployed a multilingual team of SAP MDM consultants, including regional experts and Thai-speaking resources, to ensure seamless support across 32 business entities. The team operated within a clearly defined SLA framework, offering tiered response times for regular, mass, and urgent data requests—enhancing speed, reliability, and business continuity. VUPICO also introduced structured data governance practices, helping our client define clear rules of engagement, decision rights, and accountability across the organization. With this foundation, our client could adopt a singular MDM model while allowing for local process variances. Regular KPI reporting, root-cause tracking, and continuous improvement initiatives were embedded into the engagement, ensuring transparency and proactive management. Automation played a key role, with an RPA developer supporting the streamlining of repetitive tasks and report generation. As the partnership matured, VUPICO began reducing reliance on backup resources through the implementation of a maintenance tool, aligning costs with actual business needs without compromising service levels. By combining operational discipline, scalable delivery, and governance best practices, VUPICO enabled our client to turn data from a liability into a trusted enterprise asset.
The partnership between our client and VUPICO's master data specialists delivered measurable improvements across master data operations, quality, and governance. Within months of engagement, our client experienced a dramatic reduction in duplicate records, data errors, and processing delays. Standardized workflows and clearly defined SLAs led to faster turnaround times, with over 90% of requests consistently resolved within agreed timeframes. By centralizing data stewardship and introducing global governance practices, Thai Union gained greater control and visibility over its enterprise data. Business users across regions could now rely on a single source of truth, significantly improving reporting accuracy, regulatory compliance, and operational efficiency. The deployment of automation further reduced manual workload and human error, while continuous process improvements helped streamline approval workflows and enhance accountability. VUPICO's proactive monitoring and KPI-driven reporting empowered stakeholders to make timely, data-backed decisions. Most importantly, the scalable service model allowed our client to integrate new entities with minimal disruption—supporting future growth while keeping data complexity in check. The collaboration not only stabilized the company's master data foundation but also set the stage for future digital transformation and enterprise-wide SAP initiatives.
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