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Credit Union

Improved Data Quality and Cost Efficiency

Transforming Data Management

Situation

A small credit union leveraged data analytics to better manage their data and improve member understanding. They aimed to enhance their data management strategy. However, they lacked expertise in data warehousing, data quality, and data modeling.

Impact

Managing data and infrastructure in-house would have become more costly and resource-intensive if the credit union had not transitioned from its on-premises infrastructure. Without migrating to the cloud, the credit union would have significant expenses in hardware and network upgrades. The credit union would not be able to effectively address data quality issues and eliminate manual processes. Data flows would be inconsistent and not available easily, delaying decisions.

Resolution

Partnering with Relevantz helped the credit union clean up its data and plan for the move to the cloud. Relevant’s expertise and cloud-based business intelligence solution enabled the credit union to save on expenses, enhance data quality, and empower employees to make data-driven decisions.

Relevantz implemented a managed data warehouse and business intelligence solution on the cloud. Transitioning to a fully managed services environment freed up staff from dealing with on-premises infrastructure. 

With Relevantz’s solution, the credit union:

  • Ingests data from various sources into a managed data warehouse.
  • Utilizes a Data Quality Rules Engine to identify data defects.
  • Employs workbenches and an Analytics Sandbox for ad-hoc analysis.
  • Leverages descriptive, predictive, and prescriptive analytics for trend forecasting and behavior analysis.

Outcomes

The credit union’s data management transformation had a significant impact on its operations and competitiveness. The credit union staff are able to actively engage with data to inform their decisions, leading to more efficient and effective operations. Data quality issues were effectively addressed, reducing errors and improving member satisfaction. Manual data-related tasks were automated, freeing up staff for more value-added activities.

  • 70% of employees now utilize self-service business intelligence dashboards
  • Experience higher availability, uptime, and speed for reports and dashboards
  • Affordable data management with migration to the cloud
  • Improved data quality and elimination of manual processes
  • Fostered a data-driven culture