Metrics like margin, inventory turns, and in-stock rates often conflict across Power BI, Excel, and Tableau due to inconsistent business logic, siloed systems, and misaligned calendars.
In this free tech talk, AtScale CTO Dave Mariani and Senior Solutions Engineer, Albert Zhou, will share how leading retailers are using semantic layer technology to:
- Align KPIs across finance, merchandising, and store operations
- Normalize time-based reporting across 4-4-5 calendars and 53-week years
- Deliver consistent, governed metrics across BI tools and AI platforms
- Eliminate manual reconciliation and accelerate time-to-insight
What You’ll Learn
- How semantic layers simplify complex retail analytics
- Real-world use cases of metric alignment and time intelligence
- A live demo of AtScale’s semantic model powering Power BI, Tableau, and Excel
- Best practices for scaling trusted retail data across teams
Who Should Attend
This session is designed for retail data leaders, BI architects, and analytics teams focused on:
- Inventory analytics
- Margin reporting
- Retail KPI governance
- AI-ready semantic modeling
