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Enhanced Healthcare BI Platform with Multitenant Analytics and Automated Data Workflows
  1. case
  2. Enhanced Healthcare BI Platform with Multitenant Analytics and Automated Data Workflows

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Enhanced Healthcare BI Platform with Multitenant Analytics and Automated Data Workflows

nix-united.com
Medical
Information technology

Current Platform Limitations

Existing Tableau-based BI platform lacks sufficient customization options for end-users, requires multitenancy support for data separation, needs secure synchronization mechanisms for client data, and struggles with performance when processing large volumes of clinical, financial, and patient satisfaction data.

About the Client

Multinational SaaS provider specializing in business intelligence solutions for healthcare organizations

Strategic Enhancement Goals

  • Implement advanced dashboard customization capabilities
  • Establish secure multitenant architecture with data isolation
  • Automate nightly data synchronization workflows
  • Optimize data processing for billion-row datasets
  • Enhance executive decision-making through personalized analytics

Core System Capabilities

  • HTML/JS-based dashboard customization interface
  • Tableau workbook extension with cross-filtering capabilities
  • Multitenant architecture with Tableau site isolation
  • Secure authorization service with PostgreSQL integration
  • Automated data pipeline for daily extract refreshes

Technology Stack

Tableau
Java
Spring Boot
Hibernate
Oracle
PostgreSQL
Backbone JS
Liquibase

System Integrations

  • Tableau Server API
  • PostgreSQL databases
  • Third-party data sources

Operational Requirements

  • Support for 1B+ rows per table with cascading data filtration
  • High-availability architecture for healthcare data
  • Role-based access control with enterprise-grade security
  • Scalable infrastructure for concurrent tenant workloads
  • Sub-second dashboard response times for executive users

Business Transformation Outcomes

Implementation will enable healthcare organizations to achieve 30% faster data-driven decision-making, improve patient satisfaction metrics through actionable insights, reduce operational costs by 25% through automated workflows, and establish the platform as a market-leading solution for healthcare business intelligence.

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