Find and seize cost-savings opportunities

Cloud Data  Cost Optimization

The Challenge:

Is Your Cloud Data Infrastructure Costing Too Many Millions?

The urgent need for data-led innovation collides with the ballooning costs of cloud infrastructure and processing, jeopardizing ROI for many data teams. Key culprits include:

EXPLOSIVE GROWTH

Explosive growth of data volumes and complexity

Data Mesh and Data Fabric architectures risk the duplication of data and processing a

RISING EXPECTATIONS

Rising expectations for data availability and performance

MESSY DATA ORCHESTRATION

Inefficient data orchestration pipelines and a lack of optimization:

UNDER-USED OPPORTUNITIES

Underutilization of cloud-native cost optimization features

COMPETING PRIORITIES

Accumulated technical debt due to competing priorities for data teams to deliver more projects and value, faster

SAVE MILLIONS NOW

Why Partner with Qbiz to Optimize Cloud Data Costs?

Qbiz consultants offer a deep understanding of cloud platforms (AWS, Azure, GCP) and data

warehouse capabilities (Snowflake, Databricks, BigQuery, Redshift, etc.) that can be leveraged

for cost savings. We provide proven expertise for optimizing complex data infrastructures,

models, and orchestration, saving our customers millions.

Qbiz consultants partner with your team to identify the root causes for excessive costs and implement pinpointed optimizations that get you the highest savings in the shortest time.

  • Specialized data engineering expertise
  • Best practice adjustments for efficient SQL and data pipeline code.
  • Know-how on the most effective and modern tooling options for better ROI
  • Expertise in cloud-native optimization techniques
  • Proven track record in optimizing complex data infrastructures and pipelines

CASE STUDY

Qbiz Achieves $560k p.a. savings for a FinTech Co

CHALLENGE

  • Soaring cloud data warehouse expenses, nearing $580,000 yearly, for just part of its data environment.
  • Internal teams lacked the dedicated time and specialized data engineering expertise to identify and resolve these cost inefficiencies.

SOLUTION

  • Qbiz engineers analyzed the key factors for poor performance,
  • Precision-targeted the highest-cost tasks with minimal changes.

RESULTS

  • Unlocked massive savings in a short amount of time
  • 97% Cloud data-warehouse cost reduction within the project's scope, from $580k to under $20k

How Qbiz Quickly Surfaced and Seized theSE Savings Opportunities

Qbiz consultants analyzed the key factors for poor performance, enabling us to precision-target the highest-cost tasks with minimal changes. The following adjustments and code changes unlocked massive savings and took only a relatively short time to find and implement.

  • Precision loading
  • Data pipelines scheduling
  • Efficient & effective SQL
  • Modernized tool stack
  • Reusable code patterns
  • Robust backfills

Implemented precision, incremental data loading leveraging Snowflake CDC events, replacing inefficient full daily reprocessing of massive datasets.

Optimized data pipeline schedules to align update frequencies with actual usage

Optimized SQL to prevent Snowflake from scanning all micro-partitions, e.g., by coding more efficient filters, aggregation functions, and data transformations.

Reviewed tool stack, data structures, and orchestration for cost efficiency

Provided reusable code patterns for efficient data capture.

Enabled backfills without requiring code changes.

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PARTNER WITH QBIZ

Ready to Save Costs and Improve ROI on Data?

Talk to Qbiz now and discover how we can help you optimize cloud data costs and achieve your vision.