Decade-long Historical Data Isolation:
More than 10 years of historical data was stuck in different departments.
Inefficient Manual Processes:
Traditional methods of customer support lead to increasing volume of inquiries which leads to slower resolution times and potential not satisfied customers.
Absence of Automated Setup:
The client sought a solution to streamline and automate their customer support system, aiming to enhance responsiveness and efficiency.
To address the challenges faced by the healthcare institution, a multi-faceted solution combining data integration and advanced analytics is proposed by DataToBiz experts:
Empowering Analytical Excellence: DataToBiz bought in Amazon AWS tools (like Redshift, EMR, and QuickSight) to help experts understand information better.
Applied Insights: For planning treatments and using resources efficiently we found hidden patterns in the data.
AI-Driven Healthcare Advancement: By using SageMaker to create smart computer models. These models helped in predicting diseases, suggesting treatments, and figuring out risks.
Real-time productivity improvements: Using AWS IoT sensors helped keep an eye on things happening in the present. This helped in finding problems faster and made things simpler.
Automation Revolution: Automation of routine tasks like data entry, report generation reduced the time required up to 20%.
Deeper data insights: The combination of data and analytics led to a 30% improvement in overall insights for informed decision-making.
Increased collaboration and analysis: Due to improved collaboration and analysis, data-driven insights are increased by 25%.
AI-powered personalization: AI-powered analytics increased 40% improvement in the development of personalized treatment plans and patient care outcomes.
Operational efficiencies: Real-time detection and optimization resulted in a 20% reduction in operational costs.
Healthcare & Life Sciences
North America
Staff/Resource Augmentation
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Business Development Head
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