A Data Modernisation Journey with TD SYNNEX
This modernisation journey focuses on helping customers transition from costly and complex on-premises storage to a flexible, durable, and cost-effective data strategy on AWS. The goal is to improve performance, unlock the value of data for modern applications, and reduce the operational overhead of managing storage infrastructure.
Hardware refresh cycles and maintenance contracts are unsustainable.
Legacy storage cannot meet the IOPS and latency demands of modern applications.
Data is inaccessible for modern analytics and AI/ML workloads.
Struggling to provision and manage exponentially growing data volumes.
Requirement to extend on-premises storage to the cloud for bursting or tiering.
Forced hardware refresh creates an opportunity to evaluate cloud alternatives.
Customer recognizes limitations of their current analytics stack and begins exploring modern, cloud-based solutions.
A concrete opportunity is identified. Partner qualifies the lead and builds the initial business case.
The technical solution is designed and validated through workshops and a Proof of Concept (PoC).
A formal proposal with the target architecture, a phased migration plan, and a clear ROI is presented to the customer.
Execute the analytics migration, including data ingestion, transformation, and dashboard creation.
Provide ongoing support, optimize data pipelines and query performance, and help drive user adoption.
Amazon S3 (all tiers), Amazon EBS, Amazon EFS, Amazon FSx, AWS Storage Gateway, AWS DataSync, AWS Snow Family, Amazon S3 Glacier.
Click the below triggers to see how AWS services solve the customers problem.
Click the below tiles to see how AWS AI services can be used to enhance storage.