Global Consumer Products Company

Executive Summary

I led a cloud strategy and TCO engagement for a major global consumer products company spanning a broad portfolio of household brands. The engagement covered server inventory analysis, dual-cloud financial modeling for AWS and Azure, and application classification including a dedicated workstream for their Oracle and SAP enterprise workloads.

The analysis iterated through multiple versions of both the server inventory and the financial models — reflecting an evolving picture of the estate as discovery progressed. The deliverables included an executed SOW for Cloud Strategy and TCO (December 2021), AWS and Azure TCO reports at multiple revisions, and an Azure Migrate import to support Azure-native assessment tooling alongside the cloud cost analysis from CloudScape.

Engagement Overview

Cloud Platforms Evaluated

AWS and Azure full TCO comparison

Inventory Iterations

Server inventory analysis refined through v1.4

TCO Model Versions

AWS+PC and Azure models iterated to final

SOW

Executed Dec 2021

Cloud Strategy and TCO engagement scoped and signed

Server Inventory Analysis — Iteration History

v1.0

Initial Inventory Baseline

First pass of server data ingested from client-provided sources. Baseline CPU, memory, and OS information catalogued. CloudScape and Azure Migrate data collected in parallel.

v1.1

Data Quality Pass

Cleaned incomplete records, resolved hostname duplicates, and improved OS version coverage. Added application association data for key server groups.

v1.2

Oracle & SAP Workload Separation

Oracle and SAP workloads broken out into dedicated analysis track. Licensing implications and migration constraints assessed separately from standard compute.

v1.3

Rightsizing Applied

CPU and memory utilization data applied to generate rightsized cloud instance recommendations. Over-provisioned servers identified as optimization targets.

v1.4

Final Validated Inventory

Client-validated final inventory used as the authoritative source for TCO modeling and migration scoping. Out-of-scope systems formally documented.

AWS vs. Azure Financial Models

Amazon Web Services

AWS + Private Cloud (PC) hybrid model — not all workloads targeted for public cloud
EC2 instance sizing from CloudScape rightsizing recommendations
Reserved Instance pricing applied (1-year and 3-year terms modeled)
S3 storage and EBS volume costs included
Multiple report versions (v1.0, v1.1, v1.2) reflecting updated inventory inputs

Microsoft Azure

Azure Migrate import template used to feed Azure native assessment tooling
Azure and PC hybrid model parallel to AWS approach
Azure Reserved VM Instances with Hybrid Benefit for Windows workloads
Azure SQL options assessed for Oracle and SAP database workloads
cloud-cost-assets CSV from CloudScape used as cross-validation

Oracle & SAP Workload Track

Oracle Workload Analysis

Oracle database servers identified and separated from standard compute inventory
License mobility and BYOL options assessed for both AWS (RDS Oracle, EC2 BYOL) and Azure (SQL MI, VM BYOL)
Oracle on dedicated bare metal assessed for performance-sensitive workloads
Uplift cost estimates produced for Oracle cloud licensing vs. on-prem ULA scenarios

SAP Workload Analysis

SAP application servers and HANA database instances identified from inventory
AWS SAP-certified instance types evaluated (r5, x1e series)
Azure SAP-certified VM types evaluated against HANA memory requirements
SAP RISE cloud migration option noted as a parallel commercial path
Hyperscaler SAP partnership program incentives documented

My Contributions

Server Inventory Analysis

Led the iterative server inventory analysis from initial data ingestion through 5 versions — cleaning, normalizing, and validating the estate data that underpinned all financial modeling.

Dual-Cloud TCO Modeling

Built parallel AWS and Azure financial models from CloudScape rightsizing data — with reserved pricing, hybrid benefit, and private cloud components modeled across multiple iterations.

Azure Migrate Integration

Prepared the Azure Migrate import template to enable Azure-native assessment tooling to run alongside the CloudScape analysis — providing a cross-validated sizing baseline.

Oracle & SAP Assessment

Conducted the dedicated Oracle and SAP workload analysis — licensing implications, cloud-native alternatives, BYOL options, and SAP-certified infrastructure sizing on both platforms.

SOW Scoping & Execution

Scoped the Cloud Strategy and TCO engagement, drove stakeholder alignment on scope and deliverables, and supported execution of the December 2021 SOW.

Deliverables

Deliverable	Description	Format
AWS + PC Report (v1.0–v1.2)	Iterative AWS and private cloud hybrid TCO model with rightsized instance mapping and reserved pricing	XLSX ×3
Azure + PC Report (v1.0)	Azure equivalent of the TCO model — Hybrid Benefit, reserved pricing, and Azure SQL options for Oracle/SAP	XLSX
Server Inventory Analysis (v1.0–v1.4)	5-version iterative server inventory — cleaned, rightsized, and validated from raw client data	XLSX ×5
Oracle & SAP Workloads Analysis	Dedicated workload analysis for enterprise database and ERP servers with licensing and migration path options	XLSX
Azure Migrate Import Template	Pre-populated import file for Azure Migrate assessment tooling, aligned to the CloudScape inventory	CSV
Cloud Cost Assets	CloudScape-generated cost asset export used as cross-validation for the financial models	CSV
Cloud Strategy SOW	Executed Cloud Strategy and TCO engagement SOW (December 2021)	PDF