Thrive SPC's Transformation: Leveraging Dataiku, Snowflake, and Snow Fox Data for Improved Clinical Home Care
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
- Healthcare & Hospitals
Applicable Functions
- Product Research & Development
About The Customer
Thrive Skilled Pediatric Care (Thrive SPC) is a healthcare organization that provides clinical home care to medically fragile children. They leverage innovative technology and data insights to deliver their services. The organization has grown organically and through acquisitions, which has led to the need for managing multiple electronic medical record systems with different data reporting mechanisms. Thrive SPC is committed to using data-driven solutions to improve their patient care and minimize financial concerns caused by issues such as staffing and shift hours discrepancies.
The Challenge
Thrive Skilled Pediatric Care (Thrive SPC) is a healthcare organization dedicated to providing exceptional clinical home care to medically fragile children. Their mission is powered by innovative technology and in-depth data insights. However, when Thrive SPC acquired two different types of healthcare organizations, they faced a significant challenge: managing multiple electronic medical record systems with different data reporting mechanisms. These complex and disparate systems were impossible to manage individually and manually. Thrive SPC needed a way to prepare and store data in a reliable and accessible manner. The organization was also struggling with competing and confusing spreadsheets, which hindered the efficiency and organization of their data projects.
The Solution
To address these challenges, Thrive SPC embarked on a 'self-augmenting journey' with Snow Fox Data, a Dataiku consulting partner. Snow Fox Data helped Thrive SPC create an analytics platform that ingests data from their source systems and allows users to build end-to-end data solutions. They introduced Dataiku as part of the analytics platform, which enabled Thrive SPC to take independent ownership of their data projects. Thrive SPC could easily expand upon the data dashboards that Snow Fox Data crafted by using Dataiku in combination with Power BI. Additionally, Snowflake was used as the data lakehouse in this analytics platform. Once Thrive SPC ingested the data and worked through data workflows with Dataiku, Snowflake served as the processing and storage function, creating an elastic and scalable place to keep data. Dataiku’s seamless connection with Snowflake allowed users to manipulate data in Snowflake without leaving the Dataiku interface.
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
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.
