Aravo Solutions Case Studies Revamping Data Management for Enhanced Patient Care: A Case Study on Integra Life Sciences

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	Revamping Data Management for Enhanced Patient Care: A Case Study on Integra Life Sciences Aravo Solutions

Revamping Data Management for Enhanced Patient Care: A Case Study on Integra Life Sciences

Aravo Solutions

Technology Category	Analytics & Modeling - Machine Learning Functional Applications - Warehouse Management Systems (WMS)
Applicable Industries	Buildings Life Sciences
Applicable Functions	Logistics & Transportation Warehouse & Inventory Management
Use Cases	Picking, Sorting & Positioning Time Sensitive Networking
Services	Data Science Services Testing & Certification
Challenge	Integra Life Sciences, a global provider of medical technologies, faced a significant challenge when the COVID-19 pandemic disrupted the medical supply chain. The company needed a comprehensive view of global supply and demand to ensure the availability of its products for elective surgeries. However, its aging data warehouse limited its supply chain agility, causing delays in accessing critical data on usage patterns, stock levels, and quality issues. The legacy warehouse system, IBM DataStage, was time-consuming and inflexible, hindering the company's ability to respond to changing needs swiftly. The company needed a solution that would provide timely insights into inventory and demand, enabling it to deliver its products more efficiently. Read More
About Customer	Integra Life Sciences is a global provider of medical technologies used in surgeries. The company's mission is to increase the availability of elective surgeries by ensuring its products are in the right place at the right time. This process heavily relies on data, which helps Integra's decision-makers determine where demand is building, where products are located, and how to best meet changing needs. The company faced significant challenges during the COVID-19 pandemic, which disrupted the medical supply chain and intensified the need for a comprehensive and agile data management system. Read More
Solution	Integra Life Sciences embarked on a strategic transformation to regain visibility into its inventory and drive growth during challenging times. The company engaged Wipro as a strategic partner and migrated its data from the legacy data warehouse to Azure Databricks. Integra built small proofs of concept across its business, focusing on building next-generation data pipelines, implementing DevOps, and creating reusable components. The company migrated 500 data objects and built 700 data pipelines. The Databricks Lakehouse now provides a unified platform for enterprise data warehouse, AI, machine learning, and IoT. After a three-month parallel run with the legacy system, Integra went live on its new Databricks Lakehouse Platform within nine months. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Machine Learning

Functional Applications - Warehouse Management Systems (WMS)

Applicable Industries

Buildings

Life Sciences

Applicable Functions

Logistics & Transportation

Warehouse & Inventory Management

Use Cases

Picking, Sorting & Positioning

Time Sensitive Networking

Services

Data Science Services

Testing & Certification

Challenge

Integra Life Sciences, a global provider of medical technologies, faced a significant challenge when the COVID-19 pandemic disrupted the medical supply chain. The company needed a comprehensive view of global supply and demand to ensure the availability of its products for elective surgeries. However, its aging data warehouse limited its supply chain agility, causing delays in accessing critical data on usage patterns, stock levels, and quality issues. The legacy warehouse system, IBM DataStage, was time-consuming and inflexible, hindering the company's ability to respond to changing needs swiftly. The company needed a solution that would provide timely insights into inventory and demand, enabling it to deliver its products more efficiently.

About Customer

Integra Life Sciences is a global provider of medical technologies used in surgeries. The company's mission is to increase the availability of elective surgeries by ensuring its products are in the right place at the right time. This process heavily relies on data, which helps Integra's decision-makers determine where demand is building, where products are located, and how to best meet changing needs. The company faced significant challenges during the COVID-19 pandemic, which disrupted the medical supply chain and intensified the need for a comprehensive and agile data management system.

Solution

Integra Life Sciences embarked on a strategic transformation to regain visibility into its inventory and drive growth during challenging times. The company engaged Wipro as a strategic partner and migrated its data from the legacy data warehouse to Azure Databricks. Integra built small proofs of concept across its business, focusing on building next-generation data pipelines, implementing DevOps, and creating reusable components. The company migrated 500 data objects and built 700 data pipelines. The Databricks Lakehouse now provides a unified platform for enterprise data warehouse, AI, machine learning, and IoT. After a three-month parallel run with the legacy system, Integra went live on its new Databricks Lakehouse Platform within nine months.

Impact #1	The implementation of Azure Databricks has significantly improved Integra's operational efficiency. The company now releases its data warehouse at 3:00 AM each day instead of 6:00 AM, making data available much sooner for the daily Salesforce refresh as well as for Power BI and other downstream systems. The end-to-end enterprise data warehouse processing journey, which used to take 16 hours, now takes just five hours. Additionally, Integra has reduced its virtual machine footprint by 46%. These improvements have not only streamlined operations but also enabled the company to funnel savings into providing better care.

Impact #1

The implementation of Azure Databricks has significantly improved Integra's operational efficiency. The company now releases its data warehouse at 3:00 AM each day instead of 6:00 AM, making data available much sooner for the daily Salesforce refresh as well as for Power BI and other downstream systems. The end-to-end enterprise data warehouse processing journey, which used to take 16 hours, now takes just five hours. Additionally, Integra has reduced its virtual machine footprint by 46%. These improvements have not only streamlined operations but also enabled the company to funnel savings into providing better care.

Benefit #1	Reduction in data processing time by 69%
Benefit #2	Reduction in data availability lag by 52%
Benefit #3	Reduction in overall operating costs by 45%

Benefit #1

Reduction in data processing time by 69%

Benefit #2

Reduction in data availability lag by 52%

Benefit #3

Reduction in overall operating costs by 45%

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Overview

Revamping Data Management for Enhanced Patient Care: A Case Study on Integra Life Sciences

Operational Impact

Quantitative Benefit