IndiaFirst Life Insurance is India’s youngest life insurance company present in over 1000 cities and has a product range covering credit life, term and employee liability plans that covers typical insurance, savings and wealth requirements. IFL’s dependency on legacy storage systems was hampering their ability to utilize functionalities like media management, data deduplication, Virtual environment backup, online DB backup. Also, the explosive growth of data was making continued maintenance of same systems increasingly difficult and cost intensive in terms of providing the system to users on a priority basis. UDTECHS, IBM’s Premier Partner, proposed Spectrum Protect Suite and redesgined & implemented the solution to address IFL's current challanges as well to cater IFL's rapid data-growth for future. The project includes Next Generation Disk Based De-Duplication Technology, Latest Tape Drives for Backup Jobs and IBM Spectrum Suite, providing IFL, consistent online backup of Databases without application downtime, use deduplication feature to reduce data footprint, virtual environment backup for better RPO, faster backups and restoration improvement by 35%-40%.

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“We don’t want suppliers for our company we want partners. HP and its partner Unified Data-Tech Solutions represent a two-way relationship that is a benefit for us and them. It was also important that the HP Converged Infrastructure solution offered much better value for the money.” – Karan Doshi, project manager, Nilkamal Ltd. Nilkamal Ltd., India’s leading producer of affordable and durable furniture for homes and offices, relied on SAP ERP applications to manage its operations across India, and coordinate with partners around the world. However, recent dynamic grow put increased demands on the aging IBM platform supporting the SAP applications and posed the risk of downtime and business process failures. Nilkamal chose an HP Converged Infrastructure solution for its business-critical SAP applications. This consolidated IT infrastructure improves performance, reliability, and scalability while saving data center space and reducing cooling and power costs.

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