Microsoft Azure Lakehouse Implementation Transforms Data Silos into Insights for a Pharma Major

Pharma & Life Sciences MS Azure Partnership Modern Data Architecture

Infocepts partnered with a global pharmaceutical company to resolve data challenges from siloed repositories by implementing a Microsoft Azure-based Lakehouse architecture. The solution unified the client’s data ecosystem, enhancing analytics, AI capabilities, and operational efficiency.

The Challenge

Our client struggled with significant issues in organizing, integrating, and utilizing their data efficiently.

Key data resided in disparate formats and platforms, including Excel, SAP, Salesforce, and Marketo, resulting in inconsistencies, multiple sources of truth, and inefficient decision-making.
Siloed data across geographies hindered collaboration, created integrity issues, and made it difficult to scale analytics.
Absence of an enterprise analytics platform led to inconsistent reporting, limited visualization capabilities, and difficulty meeting business demands.
Manual processes for data integration and report generation increased operational costs and time-to-insight, limiting the organization’s ability to act quickly on business opportunities.

The Outcome

The project delivered substantial business value through measurable outcomes:

The solution reduced operational costs by 50% through proactive issue identification and resolution, minimizing system downtime and enhancing performance.
The adoption of standard data ingestion frameworks enabled 20% faster onboarding of new data sources.
Automated data loading and dashboard refreshes saved 25% of the effort previously spent on manual data processing and report generation.
The implementation provided near-real-time data insights by consolidating information into a single source of truth.
Automated monitoring systems introduced by Infocepts improved system uptime by 25%, reduced support efforts by 50%, freeing up resources for strategic initiatives.

The Solution

Infocepts developed a modern, scalable data platform on Microsoft Azure, leveraging Azure Data Factory and Synapse Analytics. Key highlights of the solution include:

Lakehouse Architecture: We developed a centralized Lakehouse platform leveraging Microsoft Azure Storage. By utilizing Azure Data Factory and Synapse Analytics, the solution integrated disparate data sources, established a single source of truth, and streamlined.
Serverless Computing: Utilizing Synapse Analytics, Infocepts implemented a serverless architecture, eliminating the need for physical data warehouses. This approach significantly reduced operational costs and enhanced platform scalability.
Standardized Data Ingestion Frameworks: A standardized data ingestion framework was created to facilitate faster onboarding of new data sources. This streamlined the integration process, reduced development efforts, and ensured consistency in data handling.
Automated Reporting and Dashboards: Automated data loading and dashboard refreshes were introduced using Microsoft Power BI and Python. These automations eliminated manual tasks, enabling timely access to actionable insights for business users.
Automated Monitoring Systems: Infocepts implemented automated monitoring systems with integrated alert features for proactive monitoring. These systems improved data governance, reduced support efforts, and minimized system downtime.
Future-Ready Insights: The solution was designed to support advanced analytics, data science, and artificial intelligence applications.

The Outcome

The project delivered substantial business value through measurable outcomes:

The solution reduced operational costs by 50% through proactive issue identification and resolution, minimizing system downtime and enhancing performance.
The adoption of standard data ingestion frameworks enabled 20% faster onboarding of new data sources.
Automated data loading and dashboard refreshes saved 25% of the effort previously spent on manual data processing and report generation.
The implementation provided near-real-time data insights by consolidating information into a single source of truth.
Automated monitoring systems introduced by Infocepts improved system uptime by 25%, reduced support efforts by 50%, freeing up resources for strategic initiatives.

The solution empowered our client to embrace AI and machine learning applications, positioning them for continued innovation and growth.

Talk to us to explore how we can support your data modernization journey and help you achieve measurable business outcomes.

About the Client

Our client is a global leader in the pharmaceutical, biotech, and nutrition, employing over 17,500 professionals across a network of more than 30 sites worldwide. They focus on delivering innovative solutions to enhance financial and supply chain processes.

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Microsoft Azure Lakehouse Implementation Transforms Data Silos into Insights for a Pharma Major

The Challenge

The Outcome

The Solution

The Outcome

Talk to us to explore how we can support your data modernization journey and help you achieve measurable business outcomes.

About the Client

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