Dedalus DataFinOps Consulting - Cost Optimization for Data Environments

DataFinOps Consulting by Dedalus delivers specialized cost optimization for cloud data environments, addressing the unique challenges that traditional FinOps cannot solve. With 76% cloud data warehouse adoption, 79% AI/ML PaaS usage, and 30% average waste in poorly sized Big Data clusters, organizations need a purpose-built approach to managing data platform costs.

Modern Data Stack environments introduce complexity that generic cloud cost management misses. Shared clusters make real cost allocation per product difficult, storage grows 4x faster than analysis capacity, and AI platforms introduce new cost dimensions around tokens, inference, and value attribution. Data leaders need proactive management of budgets, priorities, and efficiency.

1. Assessment and Customer Interview: Initial diagnosis to understand your needs and map objectives across your data environment.

2. Inform: Establish cost transparency by structuring visibility with a consolidated view focused on data workloads, enabling predictability and informed decision-making.

3. Optimize: Reduce waste and adjust performance through a detailed Action Plan for Cost Reduction.

• Complete 360-degree Data Platform Assessment
• Heavy Hitters Mapping to identify expensive queries and users
• Waste and Zombie Data Analysis for cleanup of orphaned data and processes
• Saving Potential Calculation with Business Case and ROI projection
• Unit Economics Definition with financial KPIs per business area
• Cluster Rightsizing for machine and instance adjustment
• Spark Jobs and SQL Tuning for lower IO/CPU consumption
• Partitioning and Clustering Strategies
• Idleness Reduction through auto-termination and transient clusters
• Storage Lifecycle automation for retention and deletion
• Alerts and Tags Compliance for proactive monitoring
• Showback Strategy for cost visibility by area and project
• Guardrails and Quotas to prevent billing surprises
• Best Practices Playbook for your engineering team

• Team of specialists with experience in complex data environments
• Leading company in Data and AI consulting
• MultiCloud expertise: AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure
• MultiData platform support: AWS, Databricks, Microsoft Fabric, Oracle Database, Snowflake
• Focus on customer delight with measurable outcomes

The engagement follows an effort-based model with pre-defined scope, including initial analysis, planning, recommendations, meetings, and final documentation.