Saving $1 Million By Migrating Legacy Enterprise Data Platforms to Azure Synapse

Saving $1 Million By Migrating Legacy Enterprise Data Platforms to Azure Synapse

The past year has underscored the importance of adaptability and resilience in the face of unforeseen challenges. As businesses navigate an increasingly complex and data-driven world, embracing data as a strategic asset has become crucial for maintaining a competitive edge. Data, when harnessed effectively, can provide invaluable insights to guide decision-making, empower employees, and create exceptional customer experiences.

Legacy Systems: A Barrier to Innovation


Many organizations are still grappling with outdated enterprise data platforms that struggle to keep pace with the ever-growing volume and complexity of data. These legacy systems often hinder innovation and growth, as they lack the scalability, efficiency, and data quality required to support modern data analytics and decision-making.

CMC Global: Empowering Data-Driven Success

CMC Global, a leading IT services and solutions provider, has a proven track record of helping organizations transform their data management capabilities and unlock the power of data. Through our expertise in cloud technologies and data analytics, we empower businesses to drive innovation, enhance operational efficiency, and achieve sustainable growth.

Case Study: Saving $1 Million with Azure Synapse Analytics

CMC Global recently partnered with a prominent technology solutions provider in the banking, commerce, and retail industries to migrate their legacy enterprise data platform to Azure Synapse Analytics, a cloud-based data management service. The migration resulted in significant benefits, including:

  • 50% faster data processing for real-time analytics and faster decision-making
  • 100% increase in data volume to support exponential data growth
  • $1 million annual cost savings by eliminating hardware infrastructure and reducing maintenance and licensing costs
  • 95% source of truth for all data through automated validation and cleansing processes
  • 90% user adoption in the first month, with users praising the user-friendly interfaces and extensive analytical features

Transforming Data Management for Industry Innovation

The migration to Azure Synapse Analytics not only improved the client's data processing speed, scalability, cost savings, data quality, and user satisfaction but also transformed their data management capabilities. This transformation empowered them to drive industry innovation, optimize operations with data-driven decision-making, and scale to support future growth and expansion.

Full Data Flow for the new Enterprise Data Platform on Cloud

Key Takeaways from the Case Study:

  • Migrate from legacy data platforms to cloud-based solutions to gain scalability, efficiency, and cost savings.
  • Implement data cleansing and normalization processes to improve data quality and reliability.
  • Optimize data processing and workflows to extract insights quickly and efficiently.
  • Provide comprehensive training to users to maximize the adoption and utilization of new data management tools.

CMC Global: Your Partner in Data-Driven Success

CMC Global is dedicated to helping businesses embrace data-driven transformation and achieve sustainable growth. Our expertise in data management, cloud technologies, and advanced analytics enables us to provide tailored solutions that address your specific needs and challenges. We are committed to helping you:

  • Unlock the value of your data assets and gain actionable insights.
  • Empower your employees to make data-driven decisions.
  • Drive innovation and stay ahead of the competition.
  • Optimize operations and improve efficiency.
  • Reduce costs and enhance profitability.

Contact us today to learn more about how CMC Global can help you transform your data management and achieve your business goals.

Together, let's harness the power of data to drive innovation, growth, and long-term success.

Stay tuned for more insights on the evolving landscape of data-driven enterprises.

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