Healthesystems Revolutionizes Data Management, Saves 80% of Time

Healthesystems Revolutionizes Data Management, Saves 80% of Time

Healthesystems, founded in 2002, has become a pivotal player in the workers' compensation space. The company has grown to serve a large and diverse clientele by offering a range of services, including its core pharmacy services and ancillary benefits management programs. Relying heavily on data to drive decision-making, optimize operations, and deliver customized solutions, the company has grown to serve a large and diverse clientele.

With the increasing complexity of healthcare data and the need for timely access to accurate information, Healthesystems faced challenges in navigating its data ecosystem effectively. Overcoming the challenges in tracking data lineage for impact analysis of changes, ensuring data quality, and governing data access became crucial to operational efficiency and innovation.

Modernizing the data architecture

With the importance of accurate data for healthcare, the organization has a dedicated team, led by Cheryl Redding, Manager of Data & Information Governance. She and a team of architects and executives recognized the need for a modernized approach to overcome current data challenges and future opportunities. 

Notably, teams had to spend a considerable amount of time manually tracing data lineage and grappling with data governance adaptation issues, necessitating a more advanced solution to provide stakeholders with rapid access to the data they needed for analysis and decision-making.

"The sheer volume and complexity of data we handle meant that we were often in

reactive mode, trying to keep up with the demands for data without the best tools to do so efficiently," Redding said.

An analytical search for a better lineage

Architects and executives saw the challenge and supported a new strategy for better governance and data lineage. Healthesystems conducted a thorough market evaluation.

“We analyzed several metadata management tools and used a scoring model to determine how well they fit our needs, with values ranging from 1 to 5. Everything from price, to UI, products available, integration, growth potential, and flexibility,” Redding said. “Cloudera Octopai Data Lineage (formerly Octopai) provided the most bang for the buck and was easy to implement.”

Powering information transformation with data lineage

The decision was also driven by Cloudera Octopai Data Lineage's proven track record in the healthcare sector and its ability to integrate seamlessly with Healthesystems' existing data infrastructure. In just a few days, Healthesystems implemented Octopai. The solution provided comprehensive tools to automate data lineage, enhance data governance, and improve overall data quality. 

“The Cloudera Octopai team is the most supportive and responsive team we have dealt with,” Redding said. “The organization is highly collaborative, engaging and interested in your success, and will move mountains to assist you in your vision. They are eager not only to help, but learn and listen.”

Discovering new benefits from data transparency  

The implementation of Cloudera Octopai Data Lineage's solution marked a turning point for Healthesystems Data & Information Governance team and its initiatives. The solution provided a clear view of data flows, significantly reducing the time required to trace and understand data origins and dependencies. This transparency allowed for quicker resolution of data issues and streamlined the process of making data available to end-users.

Moreover, Data Lineage's capabilities ensured that data access was controlled and compliant with industry regulations, further enhancing data security and trustworthiness. The solution's intuitive interface also made it easier for non-technical stakeholders to discover and utilize data, fostering a data-driven, self-service culture across the organization.

The partnership between Healthesystems and Cloudera Octopai Data Lineage yielded remarkable results:

• Over 80% reduction in time spent on data research tasks: Automating data lineage for impact analysis and transformation tasks saved the data management team significant time, allowing them to focus on higher-value strategic initiatives.

• Improved data accessibility and quality: Organizations' stakeholders now enjoy faster access to reliable data, enabling better decision-making and more efficient operations.

• Enhanced regulatory compliance: With improved data governance, Healthesystems can continue its compliance with industry regulations more efficiently.

The collaboration between Healthesystems and Cloudera Octopai Data Lineage exemplifies how leveraging the right metadata management solution can help optimize an organization's data management practices. Benefits include enhanced efficiency, decision-making capabilities, and compliance. By addressing its data needs head-on with Cloudera Octopai Data Lineage, Healthesystems has optimized its internal operations and strengthened its position as a leader in workers’ compensation management.