Tuesday, September 2, 2025

Frisco Analytics Partners with Databricks for MDM

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Frisco Analytics, a leader in Data Management, announced a new partnership with Databricks, the Data and AI company, aimed at transforming the landscape of data management and analytics.

This collaboration brings together the Databricks Data Intelligence Platform with Frisco Analytics’ cutting-edge data management solution to deliver a unified approach, all within the Databricks ecosystem. The partnership promises to dramatically simplify complex data workflows, ensuring reliability and consistency across previously disparate data silos.

“As demand for data intelligence grows, we’re always looking to partner with innovative companies to help our customers succeed. We’ve been impressed by Frisco Analytics’s innovative approach to master data management,” said Heather Akuiyibo, VP of Go-To-Market at Databricks. “Our partnership will leverage the benefits of Frisco Analytics’ solutions and the Databricks Data Intelligence Platform to help our customers streamline their data operations and unlock new insights.”

Also Read: Ataccama Enhances Generative AI for Data Quality

The joint solution addresses critical challenges faced by enterprises today delivering key benefits :

  • Integrated data management and governance
  • Data quality and consistency across disparate data sources
  • Accelerate analytics and AI model development
  • Reduced risk through simplified compliance and data reliability

Vikas Punna, CEO at Frisco Analytics, added, “Our partnership with Databricks represents a significant leap forward in data management capabilities. Together, we’re enabling customers to harness the full potential of their data assets while significantly reducing operational complexities and costs.”

This partnership is set to redefine industry standards for data management, offering customers a clear competitive advantage in today’s data-driven business landscape. By leveraging the combined strengths of Databricks and Frisco Analytics, organizations can now accelerate their data and AI initiatives while significantly reducing implementation risks and costs.

Source: Globenewswire

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