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Arul SystemsYour Agentic AI & Cloud Partner

Data Cost Optimization

A structured accelerator to reduce and govern data platform spend — from pipeline and warehouse cost assessment through to implemented right-sizing, tiering, and lifecycle controls.

01

Assessment

Before optimising spend, you need to understand where it's going. The assessment breaks down compute, storage, and tooling costs across your data platform to surface the highest-impact opportunities.

Compute Spend Analysis

Break down warehouse and cluster compute spend by pipeline, workload, and team to surface the biggest cost drivers.

Storage Cost Audit

Analyze storage costs across raw, staging, and curated layers, including retention gaps and duplication.

Query & Job Efficiency Review

Identify long-running, frequently-run, or inefficient queries and jobs consuming disproportionate compute.

Tooling & Licensing Review

Evaluate current platform, orchestration, and licensing costs for fit and redundancy.

02

Design

Using assessment findings, we design the sizing, tiering, and visibility controls needed to bring data platform spend under control and keep it there.

Right-Sizing Strategy

Design compute sizing and auto-scaling policies for warehouses and clusters matched to actual workload patterns.

Storage Tiering & Lifecycle

Design lifecycle policies to move cold data to cheaper storage tiers and expire data that's no longer needed.

Query Optimization Playbook

Define partitioning, clustering, and caching strategies to cut compute cost on high-frequency queries.

Cost Visibility Design

Design cost allocation tagging and dashboards so spend is attributable by pipeline, team, and dataset.

03

Implementation

Designs are only valuable when executed. The accelerator delivers hands-on implementation of every agreed initiative — with the controls and dashboards needed to sustain savings beyond the engagement.

Right-Sized Compute

Deployed auto-scaling and sizing policies across warehouses and clusters, tuned to real workload patterns.

Tiering & Retention Implemented

Automated lifecycle rules moving and expiring data across storage tiers with zero manual intervention.

Optimized Pipelines & Queries

Refactored high-cost jobs and queries with partitioning, clustering, and caching applied.

Cost Dashboards & Alerts

Live cost visibility dashboards with budget alerts per pipeline, team, and environment.