Results

Real outcomes. Measured improvements.

Featured Case Study: Enterprise Data Platform

Context

Data/Analytics SaaS vendor facing high cloud costs, no visibility, and growing IT overhead.

The Problem

  • High cloud costs with no visibility into spend drivers
  • Multiple data centers and cloud environments with inconsistent practices
  • Corporate IT overhead growing faster than revenue
  • Sales deals stalling due to technical concerns

The Approach

Applied the Model → Measure → Optimize framework. Mapped actual infrastructure usage, instrumented cloud spend with attribution to business units, and executed systematic rightsizing.

90%Cloud Cost Reduction
30%IT OPEX Reduction

Outcomes

  • Secure multi-tenant data platform with proper operational visibility
  • Sales partnership on key deals—technical credibility that helped close business

Select outcomes from other engagements

Healthcare Operations

From spreadsheet-driven chaos to repeatable, auditable delivery pipelines.

Logistics Company

Process mapping that exposed significant hidden operational waste and bottlenecks.

Growth-Stage Startup

Delivered technical credibility package that supported Series A close.

Mid-Market Manufacturer

Data architecture that unified 5 siloed legacy systems.