Kanban Insights You Can Act On

See your key kanban metrics in minutes. Find friction before work jams your flow. Kanban visibility that's real-time, automatic, and actionable.
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See the whole story with fully connected data.

minware's hypercube data model (patent-pending) interlinks every SDLC artifact, with enterprise scale & performance.
Any Metric ✕ Any Dimension ＝ Deep Actionable Insights

Start from comprehensive pre-built reports and industry benchmarks.

How can we decrease lead time?

Track ticket lead time to identify inefficiencies and work interruptions on the Lead Time Dashboard dashboard.

When will our projects finish?

Predict project completion and set realistic timeline expectations with minware's Kanban Essentials Dashboard.

Where are our process pain points?

Monitor expected workflows and identify pain points with the Ticket Status Dashboard.
Browse all pre-built reports

Create your own insights with minware's AI data models.

Create your own insights with minware's AI data models.

minware's rules-based, machine learning (ML), and large language (LLM) data models make it easy to build advanced insights without having to start from scratch.
Our models cover text classification (prompts, tickets, reviews, tool commands, etc.), cost attribution, historical timeline reconstruction, identity resolution, and more.
Easily extend or customize any model for your organization with Snowflake Cortex AI.

View and customize any data lineage step with minQL.

View and customize any data lineage step with minQL.

Easily configure metrics to fit how your organization works – no process changes required.
minware's semantic layer is fully transparent and customizable with minQL. The minQL query language offers the expressivity of Snowflake database functions in a concise syntax that simplifies joins, aggregation, and complex logic.
Learn about customizing minQL

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Get trustworthy insights faster with our data infrastructure.
Agents are great at a lot of things – enterprise-grade data quality, performance, and security are not among them.

Automated Caching & Orchestration

The minQL engine dynamically materializes tables and orchestrates updates so your results are always fresh and fast for millions of rows.

Standard Data Modeling & Benchmarks

minware provides pre-built models for common use cases like time allocation, cost attribution, DORA workflow efficiency, Agile and more.

Vendor Data Linking & Normalization

minware normalizes and links AI usage, pull requests, tickets, and more with advanced heuristics for unstructured relationships.

Error Handling & Recovery

minware handles errors caused by vendor API issues, schema updates, data anomalies, and more so your data is available 24/7.

Identity Resolution

minware reconciles names, emails, and user IDs across all vendors and matches them to multi-level team structure from any source.

Role-Based Access Control

Easily control team and individual data access permissions for minware users based on their role and team membership.

On-Premise Ingest Agent

For added security, the on-premise ingest agent runs locally and uploads data to minware. You maintain full control over keys and data.

AICPA SOC 2 Type 2 Certified

minware is SOC 2 Type 2 compliant. Learn more and access the full SOC 2 report from our security documentation.

Frequently Asked Questions

How does minware enhance kanban reporting compared to other tools?

Most kanban board reports show ticket movement, but miss delays and inefficiencies in real delivery flow. minware connects ticketing, Git, and CI/CD data to surface cycle time, idle time, and review delays that many kanban reports do not capture.

Can minware generate actionable kanban reports without plugins?

Yes. minware connects to ticketing systems like Jira and Git repositories to produce metrics such as review latency, throughput, and time per stage. This replaces the need for custom plugins or Jira gadgets to get meaningful kanban metrics.

How does minware identify delivery bottlenecks in kanban teams?

minware shows how long each ticket spends in different stages of development, including periods with no Git activity. It detects blocked work that kanban reports in Jira overlook and helps managers target high-friction parts of the workflow.

Can minware generate kanban metrics for epics and projects?

Yes. minware tracks epic-level progress, time to complete, and scope stability. It allows leaders to see which epics are dragging across boards or causing high WIP levels and replaces the need to manually build platform-native or in-house reports.

How does minware support continuous delivery teams using kanban?

minware supports reports for kanban teams with real-time metrics like delivery rate, rework rate, and average review time. These metrics help agile teams maintain flow and prevent hidden delays.

Is manual tagging required to get Kanban reports from Jira in minware?

No. minware automatically analyzes work items from ticketing and Git sources. There is no need for manual tagging or configuration to generate actionable kanban metrics.

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