Problem Statement

The client wanted to modernize their MDM approach by replacing a legacy, on-premises MDM platform with a cloud-native solution integrated directly into Snowflake. Their goal was to unify golden records across domains, accelerate analytics and AI adoption, and reduce the high costs of infrastructure and maintenance.

Key Challenges

• Data Duplication & Latency

  Constant synchronization between their legacy MDM hub and Snowflake created inconsistent data and delayed insights.

• High Infrastructure Costs

  The legacy MDM platform required heavy infrastructure, licensing, and maintenance expenses.

• Slow Time-to-Value

  MDM deployments and upgrades took over a year, delaying ROI and slowing down business transformation initiatives.

• Governance Gaps

  Stewardship and audit capabilities relied on third-party tools, increasing complexity and compliance risks.

• AI/ML Roadblocks

  Data quality issues made it difficult to feed reliable data into machine learning models, limiting innovation.

Solution Implemented

Credencys implemented Semarchy xDM as a Snowflake-Native MDM App, enabling the client to manage, govern, and activate master data directly within the Snowflake Data Cloud.

• Native Integration: Deployed Semarchy from the Snowflake Marketplace with zero external infrastructure or data movement.

• Pushdown Processing: Leveraged Snowflake’s elastic compute for matching, merging, and validation at scale.

• Built-In Governance: Implemented stewardship workflows, business rules, and audit logging directly inside Snowflake.

• AI-Ready Golden Records: Created mastered, governed data products to power downstream analytics and AI/ML models.

• Rapid Deployment: Using Semarchy’s Rapid Delivery Blueprint, the solution was live in under 12 weeks.

Business Impact

• Faster Access to Trusted Insights

  With Semarchy running natively inside Snowflake, the client reduced data duplication and latency, enabling faster delivery of accurate and consistent insights.

• Improved Analytics Efficiency

  By eliminating manual reconciliation and providing golden records directly in Snowflake, analytics teams spent less time preparing data and more time driving business outcomes.

• Significant Cost Savings

  The cloud-native solution removed the need for heavy infrastructure and maintenance costs.

• Seamless Data Stewardship and Governance

  Built-in workflows, validation rules, and audit logging simplified compliance and gave business users greater confidence in the accuracy of their data.

• Future-Ready Data Foundation

  By consolidating golden records directly in Snowflake, the client created a single governed source of truth that powers analytics, AI/ML initiatives, and regulatory reporting at scale.