190 TB Cloud-Based Data Lake Deployed in Just 6 Months, Driving Digital Transformation for a Fortune 1000 CX Technology and Services Leader
Business Need
Streamlining Data Sharing and Enhancing Customer Experience
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Modern Data Sharing Architecture: A need for a contemporary, efficient data sharing framework to streamline data accessibility.
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Customer Experience Data Consolidation: Consolidating customer experience interaction recordings data to gain valuable insights.
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Data Lakes in S3 Cloud Object Storage: Creating data lakes in the S3 cloud object storage environment to facilitate easy data sharing and management.
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Integration with NICE Application: Seamless integration of data lakes with the NICE application to enhance customer experience analysis.
Challenges Faced
Conquering Data Sprawl and Management
- Data Sprawl: Data spread across various distributed file systems, making data management cumbersome.
- Data Classification: The task of effectively classifying data to enable targeted analysis.
- Data Sharing Complexity: Difficulties in sharing and accessing data due to unmanaged data sprawl.
Solution Offered
Consolidation of Data
Multiple data locations consolidated into a robust S3 cloud object storage environment.
Data Lakes Creation
Leveraging File to Object replication, the software seamlessly created data lakes, replicating files to object storage
Data Tagging and Classification
Data in the data lake was efficiently tagged for effective classification.
Custom Key Creation
A custom key was devised, facilitating seamless integration with the NICE application using the File to Object Transform API
Business Impact
Enhanced Customer Experience: Integration with the NICE application enabled greater CX analysis, leading to improved customer experience.
Speedy Data Migration: 190 TB of customer call recordings successfully migrated to the S3 cloud object storage within a remarkable six-month timeframe.
Modern Data Sharing Architecture: Created a state-of-the-art data sharing architecture, bolstering data accessibility and collaboration.
Accelerated Project Completion: The power of automation allowed the project to be completed within months, saving valuable time compared to manual efforts.
Actionable Insights: Comprehensive metadata analytics provided actionable insights, expediting cloud data migration.
Improved data access and sharing: Upgraded the data storage system with a data-sharing library of the call recordings
Cost Savings: The migration to S3 object storage resulted in significant storage cost savings.