Data Engineering
Strategic
Optimize Data Pipelines. Reduce Cost. Align Data to Value.
What's Included
- Data pipeline and ingestion strategy analysis
- Identification of inefficiencies and cost drivers
- Optimization of parsing, transformations, and routing
- Alignment of data to use cases and business priorities
- Prioritized roadmap for data optimization
- Recommendations for cost control and efficient scaling
Why Data Pipelines Become Cost Drivers
As data environments grow, inefficiencies compound quickly, and without active optimization, pipelines drift away from the outcomes they were built to support.
Data ingestion expands without cost control mechanisms, driving licensing and storage costs higher as new sources are added without evaluation.
Pipelines are not optimized for performance or efficiency: parsing rules are redundant, transformations are duplicated, and routing is fragmented.
Redundant or low-value data consumes significant resources without contributing to security detections, operational reporting, or business outcomes.
Data ingestion decisions are made without clear alignment to actual use cases, leading to mismatched investment and missed optimization opportunities.
What This Engagement Delivers
A focused optimization engagement that analyzes, improves, and aligns your data pipelines to reduce cost and maximize value.
- Pipeline & Ingestion Analysis Evaluation of data ingestion patterns, routing logic, and transformation strategies to identify performance gaps and cost drivers.
- Redundancy Reduction Identification and recommended elimination of redundant, duplicate, or low-value data flows that consume resources without delivering value.
- Parsing & Transformation Optimization Optimization of parsing rules, indexing strategies, and pipeline transformations for improved performance and efficiency.
- Use Case Alignment Alignment of data ingestion decisions to actual operational and security use cases, ensuring every data source contributes to business outcomes.
- Optimization Roadmap A prioritized roadmap of optimization actions ranked by impact and effort, giving your team a clear path forward.
How We Work Together
Remote, fixed-scope, and consultant-led: every engagement has defined outcomes and a clear path to value.
Fixed-Duration Engagement
A defined engagement with structured days of work. Focused scope, no open-ended commitments.
Fixed Scope
Defined outcomes and deliverables from day one. No scope creep. Predictable delivery every time.
Remote Delivery
Delivered remotely by a certified Splunk consultant. Full engagement from day one, no travel overhead.
Active Participation Required
This is a collaborative engagement. Your team's involvement ensures outcomes map to your environment and priorities.
VAR Delivery Model
Delivered in partnership with your VAR. nth degree provides the execution capacity. Your reseller manages the relationship.
Executive Readout
Every engagement closes with a structured executive readout covering findings, recommendations, and next steps.
What You Walk Away With
Optimized Pipeline Recommendations
Cost Reduction Opportunities
Improved Data Efficiency
Prioritized Optimization Roadmap
Executive Summary & Next Steps
🎯 When to Use This Service
- Environments experiencing rising ingestion costs without clear justification
- Organizations scaling data onboarding across teams or business units
- Pipelines with known inefficiencies or performance degradation
- After completing Foundation Data Engineering when deeper optimization is needed
🏆 What Success Looks Like
- Reduced ingestion costs through optimized pipelines and targeted reduction
- Data aligned to high-value use cases with low-value flows removed
- Optimized pipelines supporting improved performance and scalability
- Clear, shared understanding of data value versus cost across the team
Find the Right Engagement Level
Each tier builds on the previous, scaling scope and depth to match your environment.
Foundation
- Data onboarding & pipeline review
- Parsing & field extraction validation
- Data quality & structure assessment
- Optimization recommendations
Strategic
- Pipeline & ingestion strategy analysis
- Cost driver identification & reduction
- Parsing & transformation optimization
- Alignment to use cases & business value
- Prioritized optimization roadmap
Enterprise
- Enterprise-wide architecture analysis
- Data growth & retention strategy
- Future-state architecture design
- Executive readout & strategic guidance
mesh™ Add-On
Optional Enhancement
mesh™This engagement can be enhanced through a mesh™ subscription for ongoing governance, continuous improvement, and sustained alignment beyond the engagement window.
With mesh™, your investment doesn’t end at delivery. It becomes part of an ongoing program:
- Ongoing prioritization of data onboarding and optimization
- Governance across enterprise data strategy and cost management
- Continuous refinement of pipelines, parsing, and architecture
- Sustained alignment between data quality, cost, and business outcomes
Data Should Scale Efficiently, Not Expensively
This engagement ensures your Splunk data pipelines are optimized for performance, aligned to use cases, and designed to scale without driving cost.