Data Services Case Studies
NASCO is a system and service organization that processes BlueCross® and BlueShield® Plan healthcare claims across the U.S.
Recently, NASCO grew rapidly. To ensure that customer service did not suffer, NASCO considered a data warehouse strategy. After determining requirements, NASCO and Collaborative created a vision of a new, Web-based data warehousing platform. The team also developed a detailed roadmap outlining how to achieve NASCO’s short- and long-term data warehousing objectives.
Today, NASCO is equipped for growth. The strategy enables a Web-based, interactive reporting and analysis environment for BlueCross and BlueShield Plans, and a an extract-creation capability.
Moreover, NASCO knows what the organization must do to achieve its reporting objectives. And because the data warehousing vision always kept customers in mind, customer service will benefit. Additionally, the improved reporting and analysis Collablorative enabled allows NASCO to resolve customer requests more quickly, at less cost, and with less intervention from IT.
Student Loan Guarantor
A student loan guarantor purchased and developed several loan processing and support systems to help it manage significant growth. However, these disparate systems and data feeds had the potential to create data quality, integration and visibility issues.
Collaborative assessed the company’s reporting and analytic environments, and developed a data architecture to define a centralized integration point for data services like management, analytical, and historical reporting, while providing tools and processes to enhance data quality, ensuring consistency and transparency. Additionally, Collaborative implemented an ETL tool to match loans from various services with the client’s origination system.
Later, Collaborative implemented the architecture, standardizing reporting across the organization and instilling a data quality program. The architecture will support loan volume growth for five years, and help determine development requirements. Further, the implementation helps the organization view its data clearly, easing reporting and analytics.