Snowflake Intelligence & Semarchy xDM: The future of trusted, agentic decision-making

On November 4, Snowflake unveiled Snowflake Intelligence, a new generative AI–powered enterprise agent that lets anyone across the business ask questions of their data and get actionable answers in seconds. It removes one of the biggest barriers to insight generation: the reliance on specialized reporting skills, backlog-heavy analytics teams, and the long wait for dashboards or custom SQL. With Snowflake Intelligence, insights shift from something that needs to be requested to something every user can explore on their own.

As organizations accelerate toward this new model of self-service intelligence, a familiar challenge still lingers. Enterprise agents can dramatically improve access to information, yet it cannot compensate for ungoverned, inconsistent, or low-quality data. When foundational business data lives across disconnected systems or differs from team to team, even the most intuitive natural-language experience will surface sensitive, contradictory or inaccurate answers.

While Snowflake Intelligence makes insights instantly accessible, accuracy still depends on the strength of the data and governance underneath, causing many data leaders to recognize that generative AI is only as reliable as the master data feeding it. That is why pairing Snowflake Intelligence with Semarchy xDM, deployed natively inside Snowflake provides organizations a trusted, governed semantic layer to deliver analytics, business operations and AI at scale.

Instead of treating data quality and AI as separate efforts, the two platforms work together. Snowflake Intelligence delivers the conversational, self-service experience users want, while Semarchy xDM provides the governed, consistent master data and lineage needed to trust every answer. In the sections ahead, we’ll explore why data stewardship + quality becomes even more critical in this new era, how Snowflake Intelligence and Semarchy xDM complement one another, and what this looks like in practice through real-world use cases.

Why data stewardship + quality matter even more for agents

Snowflake Intelligence fundamentally changes how your teams leverage and interact with data, but GenAI or AI agents cannot solve foundational data challenges on its own. Natural-language experiences simplify access, yet they still fundamentally rely on the context, quality, and governance of the data powering them. When customer records are duplicated, product hierarchies conflict across systems, or financial definitions vary by region, AI-generated answers can become misleading, completely incorrect or worse, expose highly sensitive information.

This is why data stewardship + quality becomes even more critical in the era of GenAI and AI agents. AI amplifies both good and bad inputs. Strong data foundations lead to faster, more accurate decision-making. Weak ones produce frustration, rework, and risk.

Semarchy xDM for Snowflake provides the missing trusted, semantic layer that AI alone cannot deliver. Running natively inside the Snowflake Data Cloud, xDM consolidates and governs core business entities like customers, suppliers, products, assets, and more through powerful matching, survivorship, quality rules, and business workflows. It transforms fragmented, redundant, or conflicting information into complete, consistent, governed master data.

By delivering this trusted data directly within Snowflake, Semarchy xDM ensures that Snowflake Intelligence always operates on a unified foundation. Organizations ensure:

• Reliable golden records that feed downstream analytics, operations, and AI
• Transparent governance and lineage, so every answer can be traced to its source
• Continuous data quality improvement through stewardship and validation
• AI-ready data products published natively inside Snowflake

For Chief Data Officers, CIOs, enterprise architects, business leaders and Snowflake customers expanding their AI strategies, this shared foundation reduces risks, increases success and accelerates value. It gives teams the confidence that every question asked of Snowflake Intelligence is grounded in data they can trust.

The perfect pair: Snowflake Intelligence + Semarchy xDM

Snowflake Intelligence and Semarchy xDM each deliver powerful capabilities on their own, but together they create a complete ecosystem for better, faster, trusted insights and decisions.

Snowflake Intelligence: Fast, intuitive access to insights

Snowflake Intelligence introduces a conversational interface that lets any user ask questions in plain language and receive clear answers in seconds without SQL, dashboard building, or BI expertise required. It connects insights across enterprise systems and third-party data, giving users a holistic, 360° view of customers, operations, and performance. And with Snowflake’s enterprise-grade security and governance, teams can move quickly without sacrificing control.

Semarchy xDM: Trusted, governed master data natively inside Snowflake

Semarchy xDM enriches this experience by serving as the unified source of truth for accurate, governed business data. As a fully Snowflake-Native App, it publishes cleansed, deduplicated, and unified master data directly into Snowflake, removing complexity and eliminating data movement. Deliver certified, trusted master data to every team, system, or AI automatically.

How they work together

When these capabilities converge, analytics becomes both more accessible and more reliable. Snowflake Intelligence brings AI-powered exploration to every employee, while Semarchy xDM ensures that the data being explored is:

• Accurate and consistent across systems
• Governed and traceable with clear lineage
• Unified across business domains for cross-functional insights
• AI-ready, curated, and validated at the source

A user asking the agent, “Who are our highest-value customers trending downward this quarter?” no longer triggers a multi-team investigation or a week-long dashboard sprint. Instead, Snowflake Intelligence interprets the question, queries harmonized golden customer and revenue data from xDM, and returns a precise answer immediately.

The combination democratizes intelligence without compromising trust. It unlocks a new model where business and data teams spend less time manually validating information and more time accelerating strategic initiatives, because both the insights and the underlying data can finally move at the same speed.

Real-world use cases powered by both platforms

Below are three practical examples that illustrate how the combined strength of Snowflake Intelligence and Semarchy xDM unlocks value across industries when applied to real business problems.

1. Customer 360: Smarter engagement, faster answers

Customer data often lives across CRM platforms, support systems, marketing tools, and billing applications. Without unification, even straightforward questions can return inconsistent results.

With Semarchy xDM, fragmented customer records are consolidated into a single golden customer profile that includes clean, validated attributes and rich relationship context. Snowflake Intelligence then makes this unified view accessible to anyone through natural-language queries.

Teams can instantly ask:

• “Show me the customers at risk of churn based on support ticket volume and reduced spend.”
• “Which customer segments respond best to upsell campaigns?”
• “List customers with overdue invoices and upcoming renewals.”

By grounding conversational insights in governed master data, organizations deliver personalization at scale, strengthen retention strategies, and accelerate revenue-impacting decisions.

2. Financial hierarchy & reporting: Faster close, fewer errors

Finance teams depend on consistent definitions for the chart of accounts, cost centers, entities, and product families to produce accurate reports. But in many enterprises, this data varies widely across subsidiaries, ERPs, and regional processes.

Semarchy xDM harmonizes and governs financial hierarchies directly within Snowflake, giving organizations a single, trusted structure for reconciliation, reporting, and planning. Snowflake Intelligence builds on this foundation by making financial insights instantly self-service.

Examples include:

• “Explain the variance in operating expenses between Q2 and Q3.”
• “Show revenue by region and entity with the updated financial hierarchy applied.”
• “Which business units show the largest forecast-to-actual gap this year?”

By harmonizing financial master data and feeding it into a natural-language analytics engine, organizations shorten close cycles, reduce manual work, and give business leaders more visibility into performance to make faster, informed decisions.

3. Data governance & AI oversight: Confidence in every insight

As AI and analytics scale across the enterprise, data governance becomes a central concern. Leaders want speed, but they also need lineage, auditability, and control.

Semarchy xDM provides governance at the master data layer, offering:

• End-to-end lineage
• AI-driven stewardship workflows
• Defined business rules and data definitions
• Data quality scoring, alerts and dashboards
• Audit trails for all changes

When Snowflake Intelligence sits atop this governed foundation, it becomes a safe, controlled environment for generative AI. Users can ask questions confidently, knowing the underlying data has been validated, approved, and documented. This combination preserves trust while accelerating the adoption of AI-assisted decision-making, so data remains an asset rather than a compliance or risk liability.

The future of agentic decision-making starts with trusted data

Snowflake Intelligence introduces a transformative way for teams to engage with data, shifting analytics from a request-driven process to a natural extension of everyday decision-making. But the reliability of those insights hinges on the integrity of the underlying information.

Semarchy xDM brings the governance, consistency, and trusted master data foundation needed to make Snowflake’s AI-powered experience truly enterprise-ready. Together, the two solutions enable a new model of intelligence where insights are fast, accessible, and fully trusted across the business.

Organizations no longer have to choose between agility and accuracy. With Snowflake Intelligence and Semarchy xDM, they can have both. Discover how Semarchy’s Snowflake-Native MDM ensures your AI insights are as accurate as they are fast.