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In fact, without proper structure, it can often create more challenges.
Modern enterprise applications generate and ingest vast amounts of data every second. But without a clear and effective data management strategy, that volume can cause Splunk costs to spiral, performance to lag, and teams to lose focus on the digital initiatives that actually move the needle. Evolutio’s Data Management Workshop gives your team the clarity, structure, and technical plan to optimize Splunk usage, reduce ingest bloat, use data more efficiently, and prioritize capacity for high-value use cases.
The Data Management Workshop follows a proven, step-by-step approach designed to uncover waste, reclaim capacity, and realign observability strategy with business outcomes. It starts with a data inventory and search analysis using Evolutio’s purpose-built Splunk app, followed by identifying high-volume, low-value data sources as Edge Processor candidates.
From there, we help your team define data ownership and governance standards before outlining a roadmap for wider rollout and reinvestment in strategic use cases. Each stage includes actionable deliverables your team can execute immediately.
Using Evolutio’s custom Splunk analysis tools, we pinpoint noisy or redundant data streams—like syslogs, firewall logs, or verbose cloud telemetry—so you can reduce ingest without compromising visibility or response time.
We design Edge Processor configurations that apply conditional logic to truncate, filter, or transform data before indexing. This reduces pipeline noise, preserves critical signal fidelity, and improves search concurrency without degrading detection coverage.
Align observability investments to platform capacity, tooling readiness, and business service objectives—providing clear next steps for advancing toward scalable, AI-ready operations.
Evolutio is a unique partner with strong capabilities in both Splunk and Cisco Software to optimize your Splunk investment for the long run.
The Data Management Workshop goes beyond reducing ingest costs and helps your team lay the technical and operational foundation for a more mature observability posture. By driving immediate improvements in data ingest rules, pipeline efficiency, and governance, the workshop helps teams move from reactive monitoring toward a more scalable, proactive, and business-aligned observability strategy.
Beyond the initial engagement, your team leaves with a clear, actionable roadmap to continue evolving. Whether the next step is enabling distributed tracing, aligning telemetry with business service health, or preparing for AI-driven automation, the workshop ensures that every decision is backed by data, aligned to strategic priorities, and mapped to a clear maturity trajectory.
Evolutio’s Data Management Workshop equips your team with a data-driven baseline of observability maturity, aligned with your current telemetry stack and business-critical services. Leave with actionable technical recommendations, prioritized engineering initiatives, and a roadmap to scale visibility, improve MTTR, and support AI-driven operations with confidence.
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