Facilitated by Ola.

In today’s Agile environments, teams generate data non-stop, but turning it into truly actionable insight is where the power lies. Join our July 2025 session, “AI for Agile Analytics & Reporting,” to explore how integrating AI into Agile metrics and reporting enhances visibility, foresight, and team-driven decision‑making.

1. Transforming Metrics with AI,

Traditional dashboards capture what happened, AI-driven Agile analytics take it further. Tools like Stepsize AI, ScrumGenius, and Forecast extract insights from issue trackers, velocity trends, and backlog churn to detect recurring patterns and forecast impediments.

These tools can analyze historical sprints and surface anomalies, helping Scrum Masters and Product Owners proactively address blockages.

2. What’s Trending & What’s Likely,

AI-augmented Agile analytics track trends across releases and correlate performance with external factors like resource availability or market volatility. Rather than reactive, teams can anticipate and plan better.

This “trend‑to‑prediction” insight becomes mission‑critical in sprint planning and continuous improvement.

3. Tools That Work Without Code,

Platforms like IBM Cognos Analytics, Qlik, KNIME, and Infor Birst offer AI-led dashboards with minimal coding needed, enabling even non‑technical users to generate real-time reports and analyses.

These tools democratize access, teams can ask natural language questions and get actionable results immediately.

4. Embedding Agile Analytics Practices,

By adopting the Agile Analytics Framework, teams can infuse iterative delivery-style discipline into analytics development, aligning BI efforts with workflow sprints and business priorities.

Following this, analysts and developers iterate in short cycles, deliver dashboards early, and refine based on user feedback.

5. Event Highlights,

• Live Demo: See AI tools like Stepsize AI and ScrumGenius turning Jira or Trello data into AI‑powered insight.

• Interactive Workshop: Configure predictive velocity forecasting and create anomaly‑alert dashboards.

• Case Studies: Learn how Agile teams shortened decision cycles, proactively addressed churn, and improved delivery predictability.

• Panel Discussion: Experts discuss measuring ROI of analytics and integrating AI with team rituals.

Don’t just collect data, use it to drive decisions.

Register now for “AI for Agile Analytics & Reporting” in July 2025 to learn how AI turns Agile metrics into foresight and value.