Your dashboards tell you what happened.
We tell you why.
Your ITSM data contains evidence of how your operation actually works. Jnana Analytics finds the patterns, exposes the operational causes, and turns them into management action.
Analyze My ITSM Data →Everything can be green.
The service can still be broken.
Aggregate KPIs tell you whether a target was met. They do not necessarily tell you what customers experienced—or what happened inside the operation to produce the result.
The customer says otherwise.
Your tickets aren't administrative records.
They are a timestamped record of demand, decisions, handoffs, waiting, rework, escalation and resolution. Read correctly, they show how your operating model behaves under pressure.
Incidents, problems, changes, requests, notes, queues, SLA events and surveys.
Delay, aging, reassignment, repeat demand, reopen loops and service friction.
Process, capability, coverage, governance, tooling and data-quality weaknesses.
Prioritized interventions with owners, effort, impact and measurable outcomes.
Faster restoration, lower cost, reduced risk and better client experience.
Your MTTR says 22 hours.
We show you where the 22 hours went.
It's “Why did it take that long?”
Find the operational behaviour hiding behind the KPI.
Flow
Where does work wait, stall or bounce between teams?
Quality
Where do poor triage, documentation, categorization and premature closure create rework?
Capacity
Where do coverage, workload, skills and shift patterns constrain performance?
Process
Where are operating practices producing delay, inconsistency or repeat incidents?
Experience
Why are users dissatisfied even when contractual metrics appear healthy?
Risk
Which current patterns are early signals of future service disruption?
The ticket tells us where to look.
The operating model tells us what to fix.
A symptom in the data is rarely the end of the story. Jnana traces operational signals into the management systems, processes, capabilities and controls that are producing them.
Queue management · Staffing · Skills · Ownership
Is work aging because demand exceeds capacity, ownership is unclear, skills are misaligned, or queues are poorly governed?
Triage · Knowledge · Roles · Resolver Alignment
Are tickets bouncing because they are misrouted, under-documented, poorly categorized, or sent to teams without the right capability?
Problem Management · Quality · Automation · Knowledge
Are recurring issues being permanently removed, or simply resolved over and over again?
Communication · Resolution Quality · FCR · Escalation
Is the customer dissatisfied because of the technical outcome—or because of delay, poor updates, repeat contact, or ineffective resolution?
Capacity · Process · Hold Usage · Governance
Are breaches caused by true service failure, poor workflow, weak dependency management, or misuse of SLA controls?
Responsiveness · Ownership · Risk · Leadership Attention
Are escalations random events—or predictable signals of operating friction that management can systematically remove?
We don't analyze tickets one way.
The same service can look healthy from one angle and unhealthy from another. Jnana interrogates the operation across multiple dimensions to expose patterns that single-metric reporting misses.
When does demand change? Where are seasonal, hourly or weekly patterns emerging?
Who experiences the friction? Which users, locations or business units are disproportionately affected?
Which categories, subcategories and configuration items are generating demand?
Where does work wait, bounce, reopen, escalate or accumulate?
Where do capability, utilization, coverage and assignment patterns affect outcomes?
What do descriptions, work notes, closure notes and comments reveal that structured fields cannot?
What do CSAT, FCR, escalation comments and sentiment tell us about the user experience?
What patterns may signal recurring incidents, rising demand, risk or automation opportunities?
Not every operation needs the same assessment.
Start with the level of diagnostic depth that matches the business problem, then expand only where the evidence warrants it.
Surgical Scan
Focused analysis of a known problem area such as backlog, escalations, response time, staffing, ticket quality or CSAT. Designed for fast, high-impact findings.
Deep Scan
Broader assessment across people, process, technology and management systems to identify systemic causes and improvement opportunities.
CSI Scan
Continuous-improvement exploration focused on automation, self-service, innovation, efficiency and longer-term service optimization.
Analytics without operational context is just another dashboard.
Jnana combines analytical methods with decades of IT operations and service-delivery experience to translate patterns into practical management interventions.
Discover
Ingest ticket exports, SLA data, survey samples and resolver structures. Normalize taxonomy and validate data quality.
Analyze
Examine flow, aging, handoffs, cohorts, categories, changes, reopens and semantic signals.
Interpret
Connect statistical patterns to process, people, technology and governance realities.
Act
Deliver prioritized recommendations and a practical roadmap with measurable outcomes.
We don't just diagnose problems.
We give you the operational blueprint to improve performance, lower cost, and elevate experience.
Jnana is designed to move beyond observation. The objective is clarity, confidence and control: understand what is happening, why it is happening, and what management should do next.
Findings are useful.
Operational improvement is the objective.
Reduction in incident volumes demonstrated through better triage and fewer recurring issues.
CSAT improvement after analytics exposed causes hidden by headline SLA performance.
Faster P1 resolution after assignment and escalation bottlenecks were addressed.
You don't receive another dashboard.
You receive an evidence-backed management package designed to move the operation from observation to action.
Executive Findings
What is happening, why it matters, and where leadership attention is required.
Operational Evidence
Heatmaps, aging views, cohorts, trends and ticket patterns supporting each finding.
Root-Cause Analysis
The process, capability, governance, tooling or data conditions producing the problem.
Prioritized Actions
Prioritized recommendations ranked by impact and effort, with clear management focus and ownership.
90-Day Action Plan
A practical roadmap with owners, milestones and sequencing—quick wins first, structural fixes next.
Optional Enablement
Implementation support, coaching and operating-review cadence to help sustain improvement.
Your operation is already telling you where the problems are.
Let's turn the evidence into action.
The evidence is in the tickets. Let's find it—and turn it into action. Standard engagements run 4–8 weeks, with initial insights typically available in 24–48 hours once usable data is received.
Request an ITSM Analytics Conversation →info@jnanaanalytics.com · +1-249-288-1493