The HealthTech industry has witnessed significant growth and transformation in recent years, driven by technological advancements and the increased demand for remote care solutions, further accentuated by the pandemic.
Our client, a leading HealthTech company, found itself at the forefront of this industry shift. Their platform played a pivotal role in monitoring and managing the health of over 100,000 active patients, struggling to deliver timely and effective care. Recognizing the strategic opportunity to become a provider for its parent company, the client needed to adapt and evolve their offerings to meet the changing demands and expectations of the market.
As the client embarked on this transformational journey, several challenges emerged. Firstly, the need for a prioritization and estimation model became paramount to streamline the delivery of value and ensure efficient resource allocation. The client sought a systematic approach to identify and prioritize product features and enhancements that would provide the greatest impact on their bottom line.
Moreover, the complex relationship between the various functionalities developed by different teams required strong collaboration and coordination. This interdependence called for a cohesive and well-structured approach to ensure seamless integration and alignment across teams, fostering a high level of coordination and synergy.
Additionally, the client faced the challenge of an indefinite and reactive process for production deployments. They recognized the need for a more streamlined and proactive approach to deployment, allowing for quicker release cycles, reduced downtime, and improved overall efficiency.
By assessing the client’s initial state, major challenges, and priorities, Encora proposed the following:
Reducing Deployment Time by 50% and Increasing System Availability by 20%
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Improving Deployment Frequency by 50% and Reducing Infrastructure Costs by 30%
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Reducing Build Time by 65% and Slashing Deployment Time by 80%
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Reducing Deployment Time by 40% and Cost Savings by 30%
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Improving Application Performance by 50% and Cost Savings by 30%
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Increasing Deployment Frequency by 200% and Reducing Infrastructure Costs by 30%
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Cutting Infrastructure Provisioning Time by 60% and Reducing Product Feature Release Time by 30%
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