Normalized claim
Time: 20-30% increase
Achieved 20-30% faster processing of healthcare transactions.
Orizon, a Brazilian healthtech company part of the Bradesco Group, oversees a database with transactional information of nearly 16 million lives in the Brazilian supplementary healthcare system. The company processes more than 15 million healthcare transactions per month, including around 500,000 consultations daily, using big data and AI, mainly machine learning models. Orizon migrated from on-premises legacy systems to Microsoft Azure cloud platform solutions including Azure Synapse Analytics, Azure Databricks, and Windows Virtual Desktop to modernize its data infrastructure. This migration enabled faster processing speeds, improved analytics capabilities, and enhanced operational flexibility to handle usage peaks and cost efficiencies. Additional tools implemented included Windows Virtual Desktop for remote worker integration, a data management tool compliant with Brazil's LGPD, and automated billing integrated with customer service platforms.
Reported outcomes
20-30%
timeTime & speed
Strategic outcomes
Normalized claim
Time: 20-30% increase
Achieved 20-30% faster processing of healthcare transactions.
Normalized claim
Cost: 73% decrease
Forecasted 73% reduction in total cost of ownership for the analytics environment over three years.
This migration enabled faster processing speeds, improved analytics capabilities, and enhanced operational flexibility to handle usage peaks and cost efficiencies
Modern Data Platform architecture using Microsoft Azure cloud solutions, Azure Synapse Analytics, and Azure Databricks to support big data processing and AI model development. Windows Virtual Desktop used for remote desktop integration. Data management tools ensure compliance with LGPD.
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