DataRobot's automated machine learning platform has helped the Michigan Center for Integrative Research in Critical Care (MCIRCC) improve their data science capabilities in critical care situations. By reducing model development time, exploring relevant data points, and implementing predictive solutions, MCIRCC is able to address challenges such as predicting Hemodynamic Instability in intensive care patients. DataRobot's platform has the potential to save lives and expedite the approval process for clinical trials.
NTUC Income
NTUC Income, an insurance company based in Singapore, used DataRobot to automate and expedite their pricing analysis process. By utilizing machine learning models and features such as Feature Impact and Word Cloud, NTUC Income was able to identify changes in exposure, claim frequency, and severity, leading to more accurate technical and commercial pricing. The platform provided insights that could be easily communicated to other business owners, enabling quick actions and positive change.
DemystData
DemystData, a software company based in New York, uses DataRobot's automated machine learning platform to democratize data science. By leveraging DataRobot, DemystData improved the quality of their models, increased overall data science productivity, and enabled non-technical employees to contribute to machine learning projects. DataRobot also facilitated hiring for specific capabilities and transformed how DemystData approached problem-solving. The case study was created in 2019.
Steward Health Care
Steward Health Care, a for-profit private hospital operator in the United States, used DataRobot's solution to improve operational efficiency and reduce costs. By leveraging predictive analytics and machine learning, Steward Health Care was able to optimize hospital staffing volume, resulting in significant savings. The DataRobot platform provided the tools and expertise to manipulate and analyze large amounts of data, leading to actionable insights and bottom-line impact.
Harmoney
Harmoney, a marketplace lender in Australasia's personal loan market, uses DataRobot to automate the development and deployment of machine learning models. By using machine learning, Harmoney has improved the efficiency of credit applications, reduced the number of questions asked to borrowers, and achieved better value for borrowers and low default risk for lenders. The company's small team of data scientists found DataRobot to be a valuable tool in accelerating their innovation and staying ahead of big banks.
ONE Marketing
ONE Marketing used DataRobot to improve email targeting efforts for DR Koncerthuset, resulting in an 83% increase in ticket sales. Personalized emails had higher open and click-through rates, and DataRobot models seamlessly integrated with the existing marketing automation system. The use of machine learning allowed for more accurate predictions of events that subscribers would be interested in, leading to improved customer satisfaction and stronger relationships.
Trupanion
Trupanion, an insurance company for cats and dogs, increased productivity by 10X with DataRobot. They were able to build models faster, optimize business processes, prevent customer churn, and gain new insights for strategic decision-making. DataRobot provided an intuitive and easy-to-use platform that allowed Trupanion to deliver more models with higher accuracy without hiring more data scientists.
DonorBureau
DonorBureau, a professional services company in the United States, used DataRobot's predictive analytics solution to improve the efficiency of their fundraising campaigns. By automating the predictive modeling process, DonorBureau achieved a 10% improvement in accuracy, reduced their total cost of ownership, and saved time. The company specializes in providing modeling and segmentation services to nonprofits and fundraising organizations, helping them increase their net income and maximize their return on investment.
Avant
Avant, a leading online lending platform, used DataRobot's Managed AI Cloud solution to democratize data science and improve their loan decision-making process. By leveraging machine learning, Avant's models and underwriting process became more accurate and aligned with consumer behavior. DataRobot's platform allowed Avant's data scientists to focus on valuable long-term development work, evaluate new data sets, and easily integrate models into production. This resulted in cost savings, increased visibility, and time savings for Avant.
Evariant
Evariant, a healthcare provider, used DataRobot's automated machine learning solution to speed up their predictive analytics process. By automating and semi-automating the predictive analytic processes, Evariant was able to generate thousands of validated predictive models, significantly increasing their output. This allowed them to better utilize resources, improve client involvement, and optimize marketing efforts, leading to increased ROI.
