Normalized claim
Time: 15 minutes decrease
Decision-making time reduced from days/weeks to less than 15 minutes.
Global Footwear Company boosts store performance with real-time analytics
Use case typeOperational analyticsUpdated Jun 13, 2026
A global footwear company, serving customers in over 1,000 branded retail stores and online, struggled with legacy data systems that delayed critical business decisions. The company aimed to modernize operations, improve store performance, enhance staff efficiency, and support community programs. Partnering with Protiviti, they implemented a real-time analytics solution using Microsoft Power BI, Azure Synapse, and Azure Data Lake. The new solution delivers actionable data every 15 minutes to store managers, enabling rapid business adjustments, optimizing staffing, refining sales strategies, and deepening community impact. Automation streamlined reporting and replaced slow, manual systems. With improved internal controls and data governance, leadership and store managers can make immediate, insight-driven decisions. The project led to significant cost savings, efficiency gains, and improved decision speed across the business. Data modernization drives retail innovation across the organization. Actionable insights now delivered to store associates within 15 minutes rather than days or weeks.
- Organization
- Global Footwear Company
- Industry
- Retail
- Location
- Global
- Published
- March 2024
Reported outcomes
15 minutes
timeTime & speed
Strategic outcomes
Speed & agilityEnabled near real-time decision-makingBetter decisions & insightImproved insight-driven store decisionsCost efficiencyAchieved cost savings through staff optimizationRisk & complianceStrengthened internal controls and governance
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Global Footwear Company
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- protiviti.com
Enhanced operational efficiency in 1,000+ retail locations
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Real-Time Retail Store Performance Monitoring
- 2Automated Staff Optimization through Analytics
- 3Near-Real-Time Data Integration for Retail Decision Support
- Legacy data system created week-long reporting lags.
- Store managers lacked real-time visibility into inventory, staffing, and sales metrics.
- Manual processes hampered decision-making across 1,000+ stores.
- Difficulty optimizing staff-to-revenue ratios and tracking performance.
- Inefficient management of community giving programs.
- Implemented real-time analytics using Microsoft Power BI.
- Integrated Azure Synapse and Azure Data Lake for unified, automated reporting.
- Developed easy-to-consume user interfaces for store managers.
- Automated report generation for key financial, staffing, and performance metrics.
- Strengthened internal controls and established modern data governance.
Technologies
- Decision-making time reduced from days/weeks to less than 15 minutes.
- Cost savings achieved through staff optimization.
- Enhanced operational efficiency in 1,000+ retail locations.
- Improved effectiveness of community giving initiatives.
Architecture
Power BI dashboards source their data from Azure Data Lake and Azure Synapse, enabling automated aggregation from over 20 data sources, refreshed every 15 minutes. Store managers access visual insights via intuitive interfaces to adjust operations in near real-time.
Sources & evidence2
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
- Multiple corroborating sources available
Published: Mar 13, 2024Publisher: protiviti.com
AI-generated summary. Verify important details with the linked sources before relying on this case.
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