Self Storage Manager, Inc. Launches Integrated Power BI Dashboards & Reports Powered by Microsoft Fabric

Microsoft Fabric is a comprehensive analytics platform that unifies data and business intelligence tools across an organization. At the core of this platform is Microsoft Power BI — a leading business intelligence solution that enables self-storage operators to transform data from SSM and other applications into interactive visualizations and actionable insights. Power BI offers intuitive tools, advanced analytics, and AI-driven capabilities, allowing operators to connect various data sources, visualize key metrics, and share insights across teams including operations, finance and marketing.

“We are delighted to announce the launching of this industry-leading Business Intelligence and Analytics solution,” said Rohan Shenoy, President of Self Storage Manager, Inc. “SSM now offers over 200 reports migrated to the Power BI platform for daily operational use. In addition, we have developed more than 50 dashboards, designed with input from large operators, providing advanced analytics and visualization features. We plan to continuously expand our library of templates to meet evolving industry needs.”

SSM’s Power BI integration offers enterprise-level features that benefit large operators and REITs, including access to a dedicated Power BI workspace within Microsoft Fabric. This optional interface allows users to leverage existing dashboard templates or develop custom dashboards and widgets. Operators can also integrate data from external systems such as accounting, finance, HR, call center, revenue management, and tools like Google Analytics.

In collaboration with Microsoft, SSM is also working on rolling out enhanced AI and analytics capabilities within the Power BI ecosystem, including:

• Real-time Business Insights: Utilize Smart Narratives for dynamic, real-time explanations of reports and Integrate AI Visuals to generate automated insights from datasets
• Natural Language Querying (Power BI Q&A): Users can ask questions in natural language and receive instant insights, with improved semantic models for accuracy.
• Time Series Forecasting for Trend Analysis: Utilize Power BI’s built-in time series forecasting to analyze historical data and predict future trends, and implement exponential smoothing (ETS) models for accurate forecasting

All of these enhancements will be part of Q2 Release, and will be made available to SSM clients in July.

These advancements represent a significant step toward smarter, data-driven decision-making for the self-storage industry.