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Glossary

Data Manager

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Glossary
Data Manager
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What is Data Manager?

Levelpath’s Data Manager is the central tool for setting up and managing custom fields across key procurement areas such as supplier records, contracts, sourcing projects, savings tracking, and lookups. This gives procurement teams the control they need to create clean, accurate, and consistent data that fits their business. It also supports compliance, aligns with broader enterprise goals, and gives AI the reliable data it needs to deliver helpful insights and recommendations.

Why Does Levelpath Have a Data Manager?

Managing procurement data is never simple. There is a wide range of data to handle from basic order details to contract terms and sourcing event history. This data must be grouped into meaningful categories like financials, operations, and technical details while also aligning internal systems and suppliers. That is why procurement teams need flexible tools that let them define data in a way that fits their unique business needs.

How Does Data Manager Make Levelpath’s AI Better?

Because Levelpath is built as an AI-Native platform, the quality of data matters just as much as the quality of AI models. For AI to guide better sourcing decisions, flag risks, or track supplier value, it needs structured and well-labeled metadata that applies across the supplier lifecycle. AI does not work well with messy or incomplete data and Levelpath’s approach ensures the context is there to make smarter decisions faster.

Procurement data must be structured to meet two sets of needs: the internal demands of the business across finance, operations, legal, and technical teams and the external requirements tied to each supplier’s commercial, legal, and service obligations. This complexity makes it essential to precisely define supplier, contract, and sourcing event records.

Managing Procurement Data to Meet Holistic Business Needs

To manage procurement effectively, systems must categorize every spend area based on the full business context: who is involved, when and where the service is delivered, why it is needed, and how it aligns with policies. These well-defined fields are not just labels, but language-driven context that can trigger workflows, enforce compliance, and enable AI to automate and optimize decisions at scale.

The Data Manager Meets Three Key Procurement Demands

Businesses today face growing pressure to meet strict compliance standards from SOC 1 and SOC 2 to SOX (Sarbanes-Oxley), GDPR (General Data Protection Regulation), and ESG (Environmental, Social, and Governance) requirements. These policies require clear accountability over financial reporting, data privacy, and sustainability. Procurement plays a key role in meeting these standards by ensuring supplier and contract data supports internal controls, transparency, and responsible business practices.

To meet these challenges, procurement teams must augment and define data fields with the context necessary to define the real purpose or business value of a good or service. Custom fields help teams categorize purchases by function, geography, business unit, or strategic relevance. This clarity improves spend analysis, supplier selection, and sourcing decisions across the enterprise.

Finally, strong governance over procurement data is essential. Without strong governance, organizations face mounting technical debt from duplicate records, typos, inconsistent naming, and unclear relationships. By enforcing clear definitions and data standards, procurement teams can streamline operations, reduce risk, and build a system that supports both business agility and long-term compliance.

Data Manager for Governed, Compliant, and AI-Native Procurement

To fully support this complex and evolving landscape, procurement teams need purposefully defined data that fits every business need. Levelpath’s Data Manager provides the foundation for AI-Native procurement by giving organizations the control to define, govern, and enrich data across suppliers, contracts, and sourcing events. With support for custom fields, consistent taxonomies, and category-defined workflows, Data Manager enables procurement to meet compliance requirements, reduce technical debt, and deliver data that AI can actually understand and act on. The result is a cleaner, smarter, and more responsive procurement experience that is not just compliant, but genuinely delightful to use.

Discover how Levelpath can transform your procurement processes and elevate your organization. Request a demo or join one of our monthly sessions to learn more.