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On-Ramp to Azure Data

We’ve been successfully moving clients like you to the cloud since the inception of Azure. On-Ramp to Azure Data leverages our deep understanding of what works best when it comes to cloud migration. We’ve developed a prescriptive approach with step-by-step guidance, providing organizations the Data & Analytics resources they need.

At Quisitive, we don't consider the move to Azure as a process—we see it as a partnership.

Migrating Data and Analytic workloads to Azure gives organizations the ability to innovate faster with Azure Data Platform. To unlock the potential, it typically takes months to architect, engineer, and deploy their Modern Data and Analytics Platform in Azure. Even with a very prescriptive approach for cloud adoption, many organizations are not equipped to take on the full scope of responsibility required to leverage the all-up capabilities they have acquired as a result of the project.

Quisitive has developed a service delivery approach for helping organizations move large and small data platforms to Azure with a method that removes the barriers that block Azure Data & Analytics adoption.

Using proven cloud adoption methodologies, tools, resources, and best practices, On-Ramp to Azure Data enables customers to simplify and accelerate their move to the cloud, while working hand in hand with Microsoft Cloud Solution Architects and specialized Data Platform migration experts at Quisitive.

On-Ramp to Azure Data Program
• Prescriptive approach to leveraging the Microsoft Cloud Adoption Framework
• Designed to help insulate the customer from the friction of engineering, building, governing, securing, and operating their Modern Data Platform in Azure.
• Microsoft funds a percentage of the program cost
• Quisitive selected by Microsoft as the National partner to curate and execute this program
• Complimentary managed services and adaptive services during the 30 day program

Why On-Ramp to Azure Data

Time to Market

Automating life cycle management enables services to be delivered faster. The Life Cycle of Azure Data & Analytics are reduced to days/weeks (instead of months/years). 

Predictability

Automation increases predictability by preventing human error. Automating operational AND service delivery process enables you to better manage services and drive customer satisfaction.

Operational Costs

The processes should also be automatically triggered, which aids in lowering operation costs. This is fundamental for a cloud service and will dramatically decrease human effort.

Cloud Capabilities

Truly enabling and utilizing cloud capabilities (Security, Elasticity, Self-Service, Consumption based pricing, etc.) can only be accomplished by automation.

Timeline

Step 1.

Architechture Design Session Workshop

1 Day

Envision the role of a modern data and analytics platform for your organization utilizing Azure Services both Public & On-Prem.

Step 2.

ADAP Pilot

4 Weeks

Set blueprint for your organization for enablement of (hybrid) Azure Data & Analytics cloud services and future readiness.

Step 3.

Transition to Managed Services/Project

Timeline TBD

Transition IT organization toward Managed Services with:

  • Cloud Governance & Accountabilities
  • Process Maturity
  • People Readiness

Dive Deeper

Want to learn more about Quisitive’s On-Ramp to Azure Data approach? Download our Data sheet here.

Ready to get started with Quisitive's On-Ramp to Azure Data?