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Modernizing Data Platforms for a Leading American Insurance Company

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Case Study

Modernizing Data Platforms for a Leading American Insurance Company

In the rapidly evolving digital landscape, the healthcare insurance sector is no exception to the need for transformation.A leading American insurance company, with its vast customer base, recognized the urgency to modernize its data platforms. With a clear vision and the right partnership, they embarked on a transformative journey.

Business Vision:

The company aimed to revolutionize its operational framework. To accomplish this, they embraced a no-code ELT platform, offering heightened agility, scalability, and efficiency. This shift went beyond mere technology adoption; it established a groundbreaking industry benchmark for operational excellence.

Challenges:

  • Diverse Customer base: The leading American insurance company faced a hurdle with its diverse customer base and a data platform lacking legacy database proficiency. This gap hindered seamless integration and comprehensive insights. In response, they initiated targeted upskilling efforts and innovative solutions to unlock their customer data’s full potential. This proactive move showcases their dedication to innovation and service excellence.
  • Legacy systems: The company’s data platform, anchored in Oracle and Informatica, faced limitations in agility and scalability. Despite their reliability, these legacy systems struggled to meet modern data processing demands.
  • Knowledge gaps: Loomed as a critical concern, particularly in the absence of thorough documentation and understanding of legacy applications. This dearth of comprehensive information raised significant risks, potentially leading to data loss, inconsistencies, or system downtimes during the migration process.
  • Modernization Demand: The swift transformation of the insurance sector towards cloud computing, AI-driven analytics, and real-time processing posed a significant challenge to businesses still reliant on outdated systems. Contemporary platforms like Azure Synapse and Databricks not only ensured faster data processing and immediate insights but also excelled in managing large datasets, providing a competitive advantage and more efficient operations. Holding onto legacy systems in this dynamic landscape risks compromising operational effectiveness.

Solution approach:

  • Holistic data modernization: DataSwitch provided a comprehensive solution that addressed every aspect of data modernization. This included strategies for migrating schema, data, and the entire ETL process.
  • Process converter solution: The DS Migrate Process Converter was a game-changer. It was specifically designed to convert Oracle and Informatica codes into Azure Synapse and Databricks. This ensured that all legacy data and processes were accurately and efficiently transferred to the new platform.
  • Collaborative engagement: DataSwitch’s Professional Service team didn’t work in isolation. They collaborated closely with the client’s in-house data team. This synergy ensured that the migration was not only technically sound but also aligned with the company’s business objectives and data needs.
  • Customized migration: Recognizing that every company’s data needs are unique, the solution was tailored to the specific challenges and requirements of the insurance company. This ensured that the modernized platform was a perfect fit for the company’s operational needs.

Value delivered:

  • Efficient data processing: With the migration to Databricks and Azure Synapse, the company experienced a significant boost in data processing speeds. Complex queries that previously took hours were now executed in a fraction of the time.
  • Cost savings: By moving away from legacy systems and optimizing the data platform, the company realized substantial cost savings. Reduced operational costs, combined with the efficiencies gained from the new platform, had a positive impact on the company’s profitability.
  • Enhanced automation: The 86% automation achieved in the migration process meant that manual interventions, and the errors associated with them were drastically reduced. This led to more consistent and reliable data processing.
  • Future-ready platform: With Databricks and Azure Synapse as their new data platform, the company was now equipped with a system that was scalable, agile, and ready to meet future data challenges. The platform’s flexibility meant that the company could quickly adapt to changing business environments or data needs.

Fast facts:

  • Technologies: DS Migrate, Oracle, Informatica, Azure Synapse and Databricks.
  • Engagement model: A combination of Platform and Professional Services.
  • Script conversions: Over 800 scripts were skillfully converted, transcending legacy systems into the dynamic realm of Databricks and Azure Synapse, heralding a new era of efficiency.
  • Automated Brilliance: Automation took center stage, demonstrating exceptional prowess with an efficiency rate of 86%.
  • Financial Impact: A substantial cost savings of 60% was realized, a testament to the optimized utilization of resources and technology.
  • Timeline: Within a remarkably swift timeline of a mere three months, the transformation unfolded.
  • Time savings: Time savings were maximized, resulting in a remarkable 70% reduction.

Conclusion:

The Leading American Insurance Company has demonstrated the effectiveness of vision, collaboration, and technology in its journey. By modernizing their data platform, they have not only reduced costs but also set themselves up for success in the digital era. With a streamlined and effective data platform, they are now able to provide improved services to their vast customer base and continue driving progress in their industry with renewed energy.

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