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Cloud Applications & Integration

Removing Silos with Limitless Data

Project Overview
Project Overview

Challenge

 

Our vision care health insurance client struggled to capture and leverage data across the organization. Most notably, their data was siloed, users lacked confidence in the insights, and current tools were rapidly approaching end-of-life.

 

They realized the need for an enterprise-wide data and analytics platform to help develop rich operational and customer insights and empower data-driven decision-making. Without making the investment, they feared losing their competitive edge in an increasingly connected digital world.

 

Solution

 

Concord took on a large-scale modernization program to completely re-imagine our client’s enterprise data and analytics. Our team took a comprehensive approach to modernizing the data ecosystem by focusing on people, process, and technology:

 

  • People. We defined and enabled business units to derive value from available data.
  • Process. We redesigned the end-to-end flow of data from producers to consumers to operationalize and scale the value-delivery of enterprise-wide teams.
  • Technology. We built an Enterprise Data Warehouse in Snowflake fed by real-time performant Confluent streams, governed by best-in-class OvalEdge, and integrated with core enterprise functions to power the modernization.

 

As a first step, we identified the strategic vision and developed a comprehensive roadmap detailing quick win use cases, foundational platform efforts, enterprise data warehouse consolidation, and change management workstreams.

 

With the plan in place, our team worked with the client to execute and build a solid foundation. We helped stand up and configure the Snowflake environment and built accelerators for data utilization across the organization. From there, we optimized and scaled the new data platform by ensuring proper adoption of Snowflake across new lines of business, migrating legacy data into the platform, and rolling out self-service capabilities and data governance models.

 

Lastly, we partnered on a managed support model to develop a next-gen data warehouse in Snowflake and implement data flows for real-time dashboard metrics.

Results area
Results
  • Delivered a Snowflake cloud Enterprise Data Warehouse instance
  • Built real-time analytics dashboards to report on manufacturing and ship date predictions
  • Improved data quality and insights confidence in just 3 months!

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