Company Overview
Our client is a software development company that specializes in improving customer interactions for businesses through AI-powered tools. The company offers software solutions for contact centers to record, transcribe, and analyze customer conversations, improving service quality. They have multiple features including real-time agent assistance, automated quality assurance, personalized coaching, and customer feedback analysis. These tools help increase sales, boost customer satisfaction, and improve efficiency by reducing manual call audits and reporting efforts. Our client’s solutions ensure every customer interaction is effective and valuable for businesses.
Business Challenges
- The client needed a comprehensive data platform that could scale with their growing data needs and handle all types of data (structured, semi-structured, and unstructured).
- They required the capability to manage complex workloads while ensuring seamless data sharing across teams.
- Data security was a key concern, necessitating robust built-in security features and governance.
- They faced challenges with query performance and needed a solution that could deliver faster insights.
- The client sought to eliminate data silos to ensure quality reporting and faster decision-making.
Kasmo’s Solutions
Experts at Kasmo provided comprehensive solutions related to data migration process to address these challenges:
Reusable ELT Framework
Developed a reusable ELT framework to transfer data from Postgres and DynamoDB to Snowflake, ensuring efficient and reliable data movement.
Secure Data Pipelines
Implemented highly secure data pipelines with zero data loss, safeguarding data integrity throughout the transfer process.
Metadata Framework
Designed a flexible metadata framework and configuration file mechanism, allowing easy addition or deletion of columns from any data source in the future.
Snowflake Tasks and Streams
Developed Snowflake tasks and streams to efficiently move data into the landing zone, ensuring smooth data integration.
Batch Job Scheduling
Scheduled all batch jobs to automate data processing, enhancing operational efficiency and consistency.
Unified Data Access
Eliminated data silos to ensure unified data access, providing a comprehensive view of data across the organization.
Results Achieved
Eliminated Data Silos
Kasmo integrated three data sources into a single platform, eliminating data silos. This integration allowed for smooth data flow and accessibility, ensuring that all departments had access to consistent and accurate information, improving the data migration process, collaboration and decision-making throughout the organization.
Ensured Faster Reporting
By streamlining data migration process and using advanced analytics tools, our client significantly cut down the time needed to generate reports. This efficiency allowed the client to make faster, data-driven decisions, improving their ability to respond to market changes and operational challenges.
Maintained Data Consistency and Accuracy
Kasmo created a centralized data repository that brought together information from all source systems. This single source of truth ensured data consistency and accuracy, reducing discrepancies and building trust in the data used for strategic planning and operational activities.
Improved Sustainability and Adaptability
Kasmo designed a strong infrastructure that was scalable with the client’s increasing data needs. This future-proof solution ensured our client has long-term sustainability and adaptability, allowing the client to incorporate new technologies and data sources without major changes.
Improved Agility of Data Management
Kasmo developed reusable frameworks that supported integration from any data source. These frameworks provided flexibility and efficiency to our clients, enabling them to quickly adapt to new data requirements and sources, thus maintaining agility in their data management.
