Healthcare Payor
Major U.S. Healthcare Payor Drives Analytics Transformation Through Cloud Data Warehouse
Major U.S. Healthcare Payor Drives Analytics Transformation Through Cloud Data Warehouse
Provides a full portfolio of healthcare insurance plans tailoring health coverage to a client's specific needs.
This Healthcare Payor Client had a "data silos" issue that was impacting their ability to access and accurately see their data, causing data trust issues across different departments and the organization as a whole. They had important data residing in multiple systems and didn't have a good way to create a single source of the truth. In addition, they had several manual processes that were both inefficient as well as adding to their data quality issues.
They had three (3) primary areas where they wanted to focus their efforts to build trust in their data within their organization:
Claims Data Analysis:
With claims data in multiple internal systems, coupled with 3rd Party Processor data, the Client didn't have a single source of truth to perform claims analysis.
Policy Lifecycle Analysis:
The Client wanted to better understand the data around their policy lifecycles. Without an end to end view of the policy (sales to claim payout) they were not able to fully score the value of each policy.
Agent Hierarchy & Commission Payment:
Without a single source of truth around agent hierarchy and sales teams and accounting using different data sources, leading to internal departmental conflict and a lack of trust in the commissions data across the organization.
Teknion began by understanding the Client's current data landscape and sources of information as well as interviewing different departments within the organization to better understand the type of analysis they were doing with the data.
Teknion then made a recommendation which included modifying data structures, moving data to the cloud for improved access across the organization and a set of automation tools that would replace manual process, improve efficiency and increase data quality.
Lastly, Teknion laid out a roadmap for a multi-phase approach to the project with detailed timelines and budgetary guidelines for each phase.
Teknion knew they need to assist the Client to get their data right before we could help them to start to rebuild trust in the data. We accomplished this in several ways:
Leveraging Snowflake as a Cloud Data Warehouse:
By leveraging Snowflake we were able to create a new modern data warehouse that offered a modern approach to data architecture and the ability to provide access to data to more people across the organization.
New Data Architecture:
By restructuring the data as it flowed into Snowflake, we were able to provide consistency across disparate data sources, new meta data elements and a mechanism to monitor and improve data quality.
Data Automation Tools:
By leveraging modern technology platforms like WhereScape coupled with Snowflake, the Client is able to dramatically eliminate time consuming manual processes and improve the quality of the data.
Self-Service Visual Analytics Tools:
Through a side by side analysis of Power BI and Tableau, we were able to demonstrate to the Client how Tableau provides a better solution for putting insights into the hands of more employees and delivering on their vision of self-service analytics.
This engagement was able to generate several significant positive outcomes for the Client.
Claims Data Analysis:
Policy Lifecycle Analysis:
Agent Hierarchy/Commission Payment:
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