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dbt, Fivetran, Snowflake
Rooted in helping individuals, this company provides post-acute healthcare services for more than 200,000 patients, across 31 states, each year. With more than 50 years of industry experience to draw from, the company is focused on reimagining the way care is provided and prioritizing patients and their needs. They do this with a focus on providing better access to personalized care, faster starts of care, and avoidance of unplanned re-hospitalizations.
The healthcare provider has recently grown through a series of mergers and acquisitions to include services across three separate lines of business—Personal Care Services, Home Health, and Hospice—but under one umbrella of complete care. This puts them in a unique position to provide continuity of care to patients who over time require increasing help and service. It also puts them in the position to grow the business and reach more patients across the country.
The private equity firm that has invested in the company wanted them to get a better handle on their data—especially through continued growth—so that they can continue to focus on providing excellent, personalized care to patients.
Their goal was to implement an enterprise data and analytics solution that would provide their separate lines of business with a common, combined set of data and tools that will aid in providing the critical care patients have grown accustomed to.
They engaged with Analytics8 to modernize their data architecture and implement a data strategy that will grow with the business and its data and analytics needs.
With the recent acquisitions as well as the company’s continued expected growth comes the inheritance of disparate systems, data, technologies, as well as new patients and staff—each with their own set of best practices, terms and definitions, and processes—in multiple sites all over the country. As a result, their analytics ecosystem was disjointed and not providing them with the insights they needed.
We conducted a data and analytics strategy assessment of the company’s business, data processes, and technology stack and developed a data strategy roadmap outlining how to integrate data from the healthcare provider’s multiple systems into a cloud-based platform to allow for unified analysis across the company.
The modern data architecture included Snowflake, Fivetran, and dbt, offering a simplified user interface with minimal maintenance requirements; a flexible and collaborative data transformation platform, and automation—all things the healthcare provider needs as they scale and grow their business.
We also created standardized data definitions, as well as the framework for a data governance program so that users across the company define metrics and KPIs the same way and use terms consistently—something that will assist in troubleshooting and problem-solving during analysis.
The modern data architecture we designed and built allows the healthcare provider to move from untrustworthy data and scattered analysis to being able to draw insights from a unified dataset about all its patients and employees. They can now:
This information will allow the healthcare provider to continue to deliver excellent care to patients as the company grows and expands its reach.
Rooted in helping individuals, this company provides post-acute healthcare services for more than 200,000 patients, across 31 states, each year. With more than 50 years of industry experience to draw from, the company is focused on reimagining the way care is provided and prioritizing patients and their needs.
Sign up to meet with one of our analytics experts who will review your data struggles and help map out steps to achieve data-driven decision making.
Once a month, get expert-written insights, tips, and advice on how to get more value from your data.