Benefits of Cloud Analytics
A Unified Approach to Enterprise Reporting for Healthcare Enterprise
Best design & architecture for handling big data
Scalability & Agility
Enhances the ability to add data storage and data analysis capacity as needed. Healthcare customers can efficiently scale the storage, processing, and leveraging of data insights based on demand
Breaks Down Siloed Reporting
Facilitates cross-organizational integration of data. It enables the integration of diverse sources through a cloud analytics solution to deliver business insights
Encourages More Collaboration
Provides a centralized location to access enterprise data and connect to shared information
Data Security and Governance
Single and secure access point to data. Also, a cloud analytics platform improves data governance by giving you more granular access controls for who has access to what data and audit capabilities to understand who accessed what data
High Returns on Investment (ROI)
Cloud analytics services provide readily available data models, uploads, application servers, advanced tools, and analytics, thereby reducing cost over time. There are very few upgrade costs that enable new tools or applications requiring minimal IT maintenance
Get the 314e Cloud Analytics Readiness Assessment for Your Organization
314e will conduct a detailed assessment of the cloud analytics readiness of your organization which will include the following:
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Technical and business analytics environment, areas for concern, and opportunity
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The pros, cons, costs, and best practices associated with moving the analytics and business intelligence stack to a cloud architecture
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Recommendations regarding the future state, including the tooling recommendations that will help on the path to better business outcomes
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Suggest recommendations for regulatory, compliance, and other requirements that could be met using the enterprise analytics program (such as the cures act and others)
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Pricing scenarios and an analytics roadmap
314e will focus on mapping organizational and/or department/ service-line goals to an enterprise analytics plan and the assessment will take into account both current and future needs, especially with regard to:
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Agility–to adapt easily to changes in source data
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Performance–faster data load time
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Flexibility–in data model design and rendering of data needs
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Efficiency–to support a range of end-user analytics tools
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Governance–to ensure data lineage and master data management
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Scalability–to easily add additional data sources
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Security–of data, systems, and processes
314e will create a Cloud Analytics Readiness Assessment report which will provide top uses cases with respect to the source data that was analyzed, opportunities for improvement in both tech stack and data model, visualization tools recommendation which includes advanced analytics use, security, compliance, governance and MDM recommendations, and finally a phased implementation plan for migrating to the cloud analytics platform.