Dental claims clearing house needs to “drill-down” on billing through accelerated ERP implementation

Picture this...

You’re a $5M+ claims processing platform, and your customer and operational data is scattered across 23 databases, spanning across platforms such as Great Plains, Fiserv, CRM and product databases. Sparse documentation and highly complex stored procedures used for the billing process has resulted in gaps in org-level understanding of the data transformation. Due to increased complexity and rapid business growth, you need a solution for enabling smoother troubleshooting and resolution for billing delays. You are now looking to streamlining the legacy logic, enhance the documentation, and build confidence in billing and financial operations, by revamping the ERP suite and implement NetSuite ZoneBilling.

You turn to Accordion.

We partner with you to accelerate your billing transformation journey by owning the end-to-end ERP implementation process. Specifically, we:

• Conduct a detailed code and business logic review across ~26K+ lines of SQL code and deep-diving into 23 database schemas to identify data flows, capture transformation logic, and resolve long-standing gaps and redundancies
• Develop comprehensive business and technical documentation capturing end-to-end data lineage and transformation steps
• Re-design the billing logic, pricing calculations, and exception handling and creating the schema diagrams necessary for NS ZoneBilling implementation
• Create the flow diagrams and technical mappings to support the migration to ZoneBilling, enabling a seamless and accelerated ERP implementation

Your value is enhanced.

You now have complete visibility into the legacy billing logic, with ~60+ stored procedures fully documented, with accelerated resolution times, and improved confidence in reporting. Accelerated NetSuite ZoneBilling implementation has replaced manual, error-prone processes with automated workflows, reducing billing delays and enabling faster month-end closure. You have identified and resolved logic gaps, reduced redundant code, and minimized manual interventions by over 50%, unlocking an automated and scalable billing process with enhanced data transparency.