Swiftness

Challenge:

Swiftness, faced several challenges in managing their IT infrastructure and data. These challenges included:

• Ensuring secure data backups: Swiftness needed a reliable and secure solution to back up their critical pension system data. With the regulation of the data location (Israel)
• Improving data quality: The company wanted to leverage AI to identify and address data quality issues in the information they received from institutional bodies.
• Migrating to the Google Cloud: Swiftness aimed to migrate their core system to the Google Cloud to enhance scalability, security, and cost-effectiveness.

Solution:

Sela, a Google Cloud MSP, partnered with Swiftness to address these challenges and deliver a comprehensive solution.

The collaboration encompassed the following key aspects:

• Cloud-based data backup: Sela experts worked closely with Swiftness' IT team to implement a secure and scalable cloud-based backup solution on Google Cloud Platform (GCP) , region Tel Aviv . This ensured reliable data protection and simplified backup management.
• AI-powered data quality enhancement: Sela utilized Google Cloud AI and machine learning techniques to develop a proof-of-concept (POC) system for identifying and addressing data quality issues. This POC demonstrated the potential of AI to significantly improve data accuracy and consistency.
• Cloud migration strategy and roadmap: Sela collaborated with Swiftness to develop a detailed cloud migration architecture, strategy and roadmap. This involved assessing the current IT infrastructure, current SW architecture , business and technology pains and needs, defining migration goals, and outlining a phased migration plan.
• Sela also provided ongoing support and expertise throughout the migration process.