Modern BI Architecture Migration: 2-Week Assessment

MAQ Software

Start your journey towards the cloud with a custom Azure migration roadmap

When working with large-enterprise systems, migrating to the cloud can seem daunting. With dozens of Azure resources out there, it is important to decide right Azure services for a particular customer scenario along with migration timeline, scope, and estimated cost. Our team of experts have over a decade’s experience in cloud migrations. During our engagement, we will help you develop a roadmap that ensures you migrate successfully to Microsoft Azure.

By the end of the assessment, you will have the most efficient cloud migration strategy for your organization, including a timeline and cost estimation that empowers you to take the first step in your cloud journey. Our engagement covers Data Migration, Platform Migration, Infrastructure Migration and others. We provide detailed Azure sizing, cost analysis, and “Go or No go” platform recommendations based on your existing data architecture.

Target Audience

  • Project Managers
  • Architects
  • IT Business Heads
  • Technical Solution Leads


Week 1: Requirement Gathering

  • Understand business and technical requirements
  • Review existing architecture, including servers, infrastructure inventory (Dev, Test, Prod), and service inventory (SQL, SSIS, SSAS, SSRS)
  • Identify basic workload utilization metrics
  • Review data size, data latency, and reporting latency

Week 2: Architecture Design & Cost Analysis

  • Design cloud architecture, mapping existing and future technologies
  • Analyse cost consumption of existing workloads
  • Estimate cost of migrating partial or full data workloads to Azure Cloud


  • Azure migration roadmap with cost estimation
  • Assessment report of existing data workloads
  • Alternate migration strategies with high-level execution roadmap
  • High-level architecture and associated costs based on the workload


  • VM: Up to five VMs or services (max 40 vCPU; max 160 GB RAM)
  • SQL: Up to three databases
  • Pipeline: Up to five pipelines (SSIS)
  • Reporting: Up to 10 reports (assuming reports are sourced from the above data assets)
  • Proof of Concepts