Customer Company Size
SME
Region
- America
Country
- United States
Product
- SnapLogic Intelligent Integration Platform (IIP)
- Amazon Redshift
- Salesforce.com
- PostgreSQL
Tech Stack
- Integration Platform as a Service (iPaaS)
- Data Integration
- API Integration
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
Use Cases
- Process Control & Optimization
- Remote Asset Management
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Opya is a healthcare organization founded in 2017, headquartered in San Mateo, California. It specializes in providing next-generation autism treatment by integrating technology with personalized care. The company serves over 250 families, offering services that enhance the client experience and support parents of children with autism. Opya's mission is to transform autism care through innovation, ensuring that the majority of its resources are dedicated to client services. The engineering team, consisting of 3-5 highly-trained developers, plays a crucial role in advancing the company's technology initiatives. Their primary focus is on maintaining and enhancing a proprietary mobile application that facilitates communication between parents and clinicians, streamlines scheduling, and offers features that improve the overall client experience. Opya's commitment to compassion and innovation drives its efforts to develop technologies that create more personalized and effective treatment plans for children with autism.
The Challenge
Opya, a healthcare provider specializing in autism treatment, faced significant challenges with manual data and application integrations. The engineering team, led by VP of Engineering Matt McKenna, was tasked with maintaining and enhancing a proprietary mobile application used by clinicians and parents. This app required seamless and secure data flow between critical back-end systems, including Amazon Redshift, Salesforce.com, and a PostgreSQL application database. The manual integration process was time-consuming, requiring extensive coding and ongoing maintenance, which diverted resources from strategic projects aimed at improving client care. McKenna estimated that hand-coding the integration pipelines would take two developers approximately three months, with additional monthly maintenance. The risk of unexpected integration failures was also a concern, as it could impact the quality of care provided to families.
The Solution
To address the integration challenges, Opya explored various integration platform as a service (iPaaS) solutions and ultimately selected the SnapLogic Intelligent Integration Platform (IIP). SnapLogic was chosen for its automation capabilities, enterprise-scale security, and reliability. The platform's features, such as simple connectors, reusable pipeline templates, and a drag-and-drop interface, significantly accelerated the integration development process. SnapLogic automated Opya's back-end integrations, ensuring robustness and reducing the risk of unexpected failures. The platform's ability to adapt to changes in data volume and system updates without performance disruptions was a key factor in its selection. By implementing SnapLogic, Opya's engineering team could focus on designing and building innovations that benefit the families they serve, rather than spending time on custom infrastructure. The speed and efficiency of SnapLogic allowed Opya to complete integration projects 17 times faster than manual methods, freeing up resources for strategic, high-impact work.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.

Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels

Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.

Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.

Case Study
Cloud-based healthcare solution for Royal Philips
Royal Philips wanted to launch its cloud-based healthcare solution HealthSuite Digital Platform in China to deliver services to help cope with challenges related to urbanization and population growth. Philips wanted to achieve this goal by combining mobile, cloud computing and big data technologies. To bring this platform and product to market, Philips required cloud computing and local technical service capabilities in China, in addition to a flexible IT infrastructure that could handle user requests.