Up to 300x
Faster dashboard performance enabling near real-time visibility across properties
Hospitality platform cuts reporting time from minutes to seconds with Microsoft Fabric
Replaced slow, fragmented reporting with a centralized Microsoft Fabric platform, delivering seconds-level insights, secure multi-operator access, and embedded analytics at scale.
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100%
Operator data isolation with row-level security enforced across all users
1 Platform
Unifying data consolidation and reporting while eliminating manual workflows
Client Overview
A hospitality technology provider operates an enterprise platform powering kiosk-based retail experiences across hotel properties. It enables guests to make on-site purchases while giving operators and partners visibility into sales, commissions, and performance across locations.
As transaction volumes grew, the organization partnered with Simform to modernize its reporting infrastructure for scale, performance, and secure multi-operator analytics.
Challenges
As usage increased across operators and properties, it introduced complexities the existing setup could not efficiently support.
Severe performance constraints with large-scale datasets
Handling datasets exceeding one million rows exposed limitations in the existing setup, with dashboard load times reaching 4-5 minutes and significantly impacting usability and timely access to insights.
Reliance on manual, error-prone data workflows
Using Excel-based data transfers to bridge system gaps introduced delays and operational dependencies, increasing the risk of errors and making reporting workflows difficult to maintain and scale.
Limited mechanisms for secure multi-operator access
The absence of built-in data isolation controls made it difficult to support multiple operators within a shared reporting layer, introducing scalability challenges and potential data exposure risks.
Solution
Simform partnered with the client to modernize its reporting infrastructure and enable scalable, secure multi-operator analytics. After evaluating multiple platforms, we selected Microsoft Fabric for its native Azure integration, performance, and cost-effectiveness.
Centralized data consolidation into OneLake
Ingested sales data from the Azure-hosted platform into OneLake using delta format storage. Replaced fragmented data sources and manual Excel-based workflows with a structured, consistently updated data foundation for analytics.
Curated semantic layer and Power BI dashboards
Built a governed semantic layer to standardize metrics across operators and properties. Developed Power BI dashboards within Fabric to deliver insights on sales performance, commissions, product trends, and operational metrics.
Row-level security for multi-tenant data access
Implemented row-level security at the semantic model level to enforce strict operator-level data isolation. Enabled a centralized reporting model where multiple stakeholders access the same dataset securely based on assigned roles.
Embedded and self-service analytics enablement
Integrated Power BI dashboards into web portals using embedded analytics capabilities. Provisioned dedicated Fabric workspaces for enterprise users, enabling self-service reporting while maintaining centralized governance.
Business Impact
The modernization of the reporting platform eliminated performance bottlenecks, improved data governance, and enabled scalable analytics across a growing multi-operator ecosystem.
Faster decision-making
Dashboard load times reduced from minutes to seconds, enabling operators and partners to access near real-time insights and act on sales and performance data without delays.
Secure reporting at scale
Each operator accesses only their own data within a centralized model. Expanding the operator network no longer means revisiting governance controls from scratch each time.
Advanced analytics ready
With unified data in OneLake and standardized models in place, the platform is positioned to enable and support more advanced AI-driven use cases in the future.
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Hiren Dhaduk
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