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Move to Managed Analytics

An AWS Modernization Pathway with TD SYNNEX

The "Move to Managed Analytics" pathway focuses on migrating from complex, on-premises data warehouses and ETL jobs to a modern, scalable, and cost-effective analytics platform on AWS. This journey unlocks data potential by breaking down silos and empowering organizations with faster, deeper insights through managed services.

Triggers & Compelling Events

Slow Reporting

Business insights are delayed by slow-running queries and reports.

Data Silos

Valuable data is trapped in different systems, preventing a unified view.

Inability to Scale

On-premises data warehouses can't handle growing data volumes.

High TCO

Hardware, software, and maintenance costs are unsustainable.

Complex ETL

Brittle, hand-coded data pipelines are difficult to maintain and scale.

Need for Real-Time Insights

Batch processing can't meet the demand for immediate data analysis.

1

Awareness & Discovery

Customer recognizes limitations of their current analytics stack and begins exploring modern, cloud-based solutions.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX BDM / AWS PDM
  • Action: Register Deal in AWS Partner Central (ACE)
  • Funding: None at this stage.
  • Services: None at this stage.
2

Opportunity & Qualification

A concrete opportunity is identified. Partner qualifies the lead and builds the initial business case.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX SA / AWS SA
  • Action: Qualification call with CoE or local technical pre-sales/SA
  • Funding: OLA funding for applicable opportunities; Windows Server, SQL & Oracle DB
  • Services: None at this stage.
3

Solution Development

The technical solution is designed and validated through workshops and a Proof of Concept (PoC).

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX CoE / AWS Specialist SA
  • Action: Engage TD SYNNEX CoE for PoC build & validation.
  • Funding: MAP Assess for TCO analysis and exploratory work, PoC funding for proof of concept building.
  • AWS Tools: AWS Schema Conversion Tool (SCT)
4

Customer Proposal

A formal proposal with the target architecture, a phased migration plan, and a clear ROI is presented to the customer.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX BDM / AWS MAP aligned account manager
  • Action: Submit Proposal & SOW through TD SYNNEX.
  • Funding: Sandbox Innovation credits.
  • Services: TD SYNNEX SOW & Proposal Support via Services team.
5

Delivery

Execute the analytics migration, including data ingestion, transformation, and dashboard creation.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX Professional Services / AWS ProServe
  • Action: Execute project with TD SYNNEX Professional Services OR the partner does this themselves.
  • Funding: MAP Mobilize funding to allow cost effective pilot migration
  • Services: TD SYNNEX Professional Services for Migration, TD SYNNEX Migration Success Packages OR the partner completes this themselves.
6

Support & Optimize

Provide ongoing support, optimize data pipelines and query performance, and help drive user adoption.

Partner Actions & Offerings

Core AWS Services & Training

Key AWS Products

Athena, CloudSearch, DataZone, EMR, FinSpace, Kinesis, Data Firehose, Managed Service for Apache Flink, Kinesis Data Streams, Kinesis Video Streams, OpenSearch Service, OpenSearch Serverless, Redshift, Redshift Serverless, QuickSight, Clean Rooms, Data Exchange, Data Pipeline, Entity Resolution, Glue, Lake Formation, Managed Streaming for Apache Kafka (MSK)

Enablement & Training

The Modernization Journey: From Pain to Platform

Click the below triggers to see how AWS services solve the customers problem.

Slow Reporting

Data Silos

Inability to Scale

High TCO

Complex ETL

Real-Time Insights

Unlocking Predictive Power: AI & Analytics Synergy

Click the below tiles to see how AWS AI services can be used to enhance analytics.

Predictive Analytics with SageMaker

AI-Powered BI with QuickSight Q

In-Database ML with Redshift ML

Generative AI with Amazon Bedrock

Supporting Documentation