Driving Cloud Savings and Efficiency with AI-Powered Forecasting

About the Client

A leading home improvement retailer offering a wide range of products and services for homeowners and professionals. Committed to quality, value, and customer service, it provides tools, materials, and expert advice for renovation and maintenance projects. Through innovation and sustainability, it helps customers enhance their living spaces.

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The Challenge

Managing a massive cloud environment with annual expenses exceeding $100 million posed significant challenges to the client. The complexity made it difficult to track costs, allocate discounts optimally, identify anomalies, and predict future spending. Limited visibility hindered data-driven decisions for cost optimization and efficient resource allocation.

The Solution

A comprehensive Cloud Cost Management & Forecasting Suite was developed using Looker and BigQuery. Interactive dashboards provided detailed insights into cost trends, offered actionable cost-saving recommendations (e.g., identifying idle VMs), and utilized anomaly detection to flag financial irregularities. An advanced forecasting model within GCP enabled the prediction of consumption patterns across various projects and services.

The Result

Enhanced Cost Visibility: Granular insights into cost drivers enabled precise allocation to business units and projects.

Optimized Cloud Spending: Actionable recommendations and anomaly detection helped reduce unnecessary expenses.

Improved Budgeting and Planning: Advanced forecasting enabled accurate predictions for budgeting and resource allocation.

Increased Operational Efficiency: Data-driven decision-making maximized cloud investment value and improved overall efficiency.