From Siloed Systems to Data Powerhouse

Our client, a leading post-acute care provider, struggled with integrating diverse commercial and custom-developed internal systems running in isolation with different data structures. This reliance on outdated tools like Excel spreadsheets complicated the creation of a unified source of business intelligence. 

The company partnered with JBS Dev to develop a unified data warehouse, setting up a centralized information center that supports and impulses its plan to expand in the coming months.

Challenges 

Reliance on Excel pivot tables for data analysis was time-consuming and limited, preventing the client from fully using data for strategic decisions, trend identification, operational optimization, and improved patient satisfaction.

• Multiple, independent systems: Multiple independent systems created inefficiencies and redundancies, leading to duplicated data entry, mandatory manual reconciliation processes, and the need for specialized staff to manage each system.
• Complex Data Structure: The complexity and high volume of information fields within each data model restricted the efficient management and analysis of business intelligence needed for data-driven decision-making, impeding the ability to visualize actionable insights.
• Data isolation impacted operational efficiency: The lack of integration between the systems resulted in data silos, preventing a comprehensive view of the organization's operations and leading to increased operational costs due to manual workarounds and potential errors in patient data.
• Separation of vital functions: The segregation of critical functions into different platforms led to communication and coordination gaps, increasing the likelihood of errors or omissions and diminishing patient satisfaction.
• Disconnected Data: The inability to connect related system data hindered the client's ability to generate accurate and prompt reports, affecting performance measurement and identification of areas for improvement.

How JBS Dev Helped 

Centralized Data Powerhouse:

• Unified Data Source: JBS merged data from four disparate systems through a robust ETL (Extract, Transform, Load) process incorporating APIs, data connectors, and custom solutions. This solution eliminated data silos, ensuring consistent formatting and synchronization through advanced data transformation tools and middleware.
• Smooth data flow: An automated ETL data integration process, combined with advanced integration techniques, enabled seamless data flow between the data warehouse and existing end-user systems, ensuring data consistency and keeping information continuously updated and accessible. 

Enhanced Reporting Capabilities:

• Integrating SQL-based querying and data visualization tools, such as Tableau, into the data warehouse enabled the generation of complex, real-time reports, and analytics, providing more in-depth data for informed decision-making.

Rigorous Data Quality Controls and Advanced Security Safeguards:

• Automated data quality suite: JBS Dev implemented a comprehensive suite of data quality checks to ensure accuracy and integrity. This suite automated data cleansing to correct errors and inconsistencies, data validation to ensure adherence to predefined standards and rules, and data standardization to keep consistency across diverse datasets.
• Ensuring compliance with regulators: Adopted new security protocols included encrypting data both at rest and in transit to ensure the security of sensitive information. Access controls were rigorously enforced, and regular security audits were conducted. These measures collectively protected the integrity and confidentiality of information and patients' personal data, ensuring compliance with regulations.

Results 

• The company experienced an immediate boost in operational performance and development speed, with enhanced flexibility to scale with rising demand. The new system’s capabilities are well-positioned to support business growth and efficiently manage the increasing demand for authorizations, document processing, new services, claims processing and resolution, and billing.
• The most notable result is that the company can now fully visualize previously hidden and disparate data with the optimized data warehouse, providing a single source of truth and positioning it to scale its homecare solutions effectively.
• JBS Dev recreated five key legacy reports and developed ten new advanced reports, enabling management to visualize operations more effectively. This new reporting layer supports unlimited ad hoc reports using tools like Tableau and SQL, facilitating self-service reporting and insights from previously inaccessible data.

With its newly accessible, optimized, and responsive technology, the company is well-positioned to scale its homecare solutions, guided by reliable, data-centered information.