Analyzing Data Quickly to Make Medical Breakthroughs
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Sisense
Tech Stack
- Sisense
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Quality Assurance
- Business Operation
Use Cases
- Predictive Quality Analytics
- Process Control & Optimization
Services
- Training
- System Integration
About The Customer
The Arizona Department of Health Services is a state agency dedicated to improving the health and wellness of all Arizonans. They partner with public and private entities to collect and analyze health data, including newborn screenings for 28 blood disorders. The department handles data from over 90,000 newborns annually, working closely with hospitals across Arizona. Their mission is to ensure timely and accurate health information is communicated to physicians, hospitals, and parents, enabling early detection and treatment of potential health issues in newborns.
The Challenge
The Arizona Department of Health Services faced significant challenges in quickly analyzing data from newborn screenings. The process was labor-intensive and relied heavily on Excel spreadsheets, making it difficult to identify trends and quality issues in a timely manner. This delay in data analysis could lead to serious health consequences for newborns, as early detection and treatment of disorders are crucial. The department needed a more efficient and user-friendly solution to manage and analyze the data effectively.
The Solution
The Arizona Department of Health Services adopted Sisense to address their data analysis challenges. Sisense provided an easy-to-use platform with simple dashboards and interactive data drilling capabilities. This allowed the department to analyze data immediately and identify quality issues quickly. The onboarding process was straightforward, with training and online resources available to help staff get up to speed. Sisense enabled the department to automate data loading and analysis, eliminating the need for manual data preparation and reducing the reliance on Excel spreadsheets. The tool went live in just a day, and within a week, the IT team was able to start development work and share prototypes with stakeholders.
Operational Impact
Quantitative Benefit
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