Billing Agency Reduces Processing Time by 16X
Company Size
1,000+
Region
- America
Country
- United States
Product
- Sisense
Tech Stack
- SQL Server
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Visualization
- Functional Applications - Enterprise Resource Planning Systems (ERP)
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Quality Assurance
Services
- Software Design & Engineering Services
- System Integration
About The Customer
Advocate is a benchmark leader in radiology billing with clients across the United States. The company faced significant challenges with its old billing systems, which were slow, outdated, and unable to handle the growing amounts of data. The decision to implement Sisense was made just before System Architect, Brian Bontrager, joined Advocate. Brian was responsible for converting old reports and rolling out the new system to clients. Advocate's primary goals were to leverage massive data sources, improve performance, and provide an updated look.
The Challenge
Advocate’s old system had problems with speed and scalability. It could take multiple hours to produce an extract, often timing out during the process and failing. On top of this, it was very slow to refresh, was dated, and most importantly, could not handle their growing amounts of data.
The Solution
Brian worked heavily with Sisense’s professional services group and over the course of a year recreated, page by page, the previous environment within Sisense. Following the implementation of Sisense, Advocate’s user base was very excited. One user, responsible for entering charge information into the system, took the initiative to completely overhaul the dashboards and optimize them for their particular operations flow. Advocate uses three different types of dashboards: Visual true style, Question specific style, and Advocate specific 'Fusion' style. The 'Fusion' style allows for extensive drill down and filtering for when clients don't necessarily have a specific question and want to explore the data. In their old system, the 'Fusion' style could only support up to two clients because of the volume of data and work involved. Currently, with Sisense, Brian has five clients making use of it and can easily scale far beyond as demand comes in.
Operational Impact
Quantitative Benefit
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