Case Study
Modernizing Data Architecture and Governance
Consistently delivered trusted, actionable data that built organizational confidence and improved executive decision-making
Client sought to modernize a fragmented data platform, enabling KPI insights
- A leading commercial flooring company manages high volumes of job documentation to assess flooring job opportunities across the U.S.
- The company has a very manual review process for these bid packets(job documentation) which tend to vary in size and format, contributing to the difficult and time intensive process.
- This process is crucial when determining whether to bid, which is why the company began seeking AI solutions to try to accelerate this process.
Implemented Microsoft Fabric, established enterprise data governance
- Through interviews and workshops, Valent identified high-value reports and supporting data and pipelines, creating and implementing a solution that setup Microsoft Fabric with full orchestration of data ingestion, transformation, and consumption.
- Migrated various data patterns to medallion architecture using python-based pipelines and SQL-based transformations, consolidating required skills and tools to select roles.
- Led the enterprise-wide organization and stand-up of data governance program, including data cataloging, security, and policies.
Consistently delivered trusted, actionable data that built organizational confidence and improved executive decision-making
- Implemented Microsoft Fabric, migrating core data domains to streamline tools and skillsets while establishing a foundation for future data-driven initiatives like AI/ML. This transformation accelerated the time from concept to delivering valuable insights to the business.
- Launched a comprehensive data governance program that standardized data domain cataloging, security protocols, and policies. By consistently delivering accurate, insightful, and actionable data, the business intelligence team has steadily built confidence and trust across the organization.
For Businesses
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