Data Engineering
Foundation
Structure Data. Improve Efficiency. Establish Control.
What's Included
- Data onboarding and pipeline review
- Parsing and field extraction validation
- Data quality and structure assessment
- Identification of inefficiencies and optimization opportunities
- Recommendations for pipeline optimization and cost control
- Summary of work completed and next steps
Why Unstructured Data Becomes a Liability
Organizations often onboard data into Splunk without structure or consistency, creating quality problems, rising costs, and downstream failures.
Data sources are onboarded without consistent standards for parsing, naming, or field extraction, creating fragmentation from day one.
Inconsistent parsing and field extraction create downstream issues in detections, dashboards, and search queries that rely on clean structured data.
Excess or duplicate data is ingested without validation, driving licensing and storage costs higher without adding analytical value.
Pipelines lack visibility and control, making it difficult to understand what data is flowing, where it goes, and whether it's being used.
What This Engagement Delivers
A structured review and optimization of your data onboarding approach, ensuring quality, efficiency, and cost control from the start.
- Data Onboarding Review Assessment of current data sources, onboarding practices, and pipeline configurations to identify gaps and inconsistencies.
- Parsing & Field Extraction Validation Validation of parsing rules and field extraction accuracy to ensure downstream use cases receive clean, structured data.
- Data Quality Assessment Evaluation of data quality across ingested sources, identifying issues that impact search performance, detections, and reporting.
- Inefficiency Identification Identification of redundant, duplicate, or low-value data ingestion that drives cost without contributing to operational outcomes.
- Optimization Recommendations Actionable recommendations for pipeline optimization, cost control, and improved data structure aligned to your use cases.
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
Structured Data Onboarding Approach
Parsing & Field Extraction Validation
Data Quality Assessment
Pipeline Optimization Recommendations
Summary & Next Steps
🎯 When to Use This Service
- New data onboarding initiatives within Splunk
- Environments with inconsistent or poorly structured data
- Organizations experiencing rising ingestion costs without clear cause
- Prior to expanding data sources, use cases, or reporting capabilities
🏆 What Success Looks Like
- Clean, structured data aligned to defined use cases
- Improved data quality and downstream usability across detections and dashboards
- Reduced unnecessary data ingestion and associated cost
- Increased efficiency and visibility across data pipelines
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
- Parsing & transformation optimization
- Prioritized optimization roadmap
Enterprise
- Enterprise architecture & pipeline 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 Drives Everything, But Only When It Is Structured
This engagement establishes the data foundation your Splunk environment needs: clean, structured, and aligned to the use cases that matter.