The Self-Service Revolution: Empowering 500 Business Users to Build Their Own Reports

The Self-Service Revolution: Empowering 500 Business Users

How a global retail corporation transformed from IT-dependent reporting to data-driven autonomy, reducing IT bottlenecks by 80%.

500+
Users Empowered
80%
Less IT Tickets
45m
Time to Insight (was 3w)
BI Adoption Command Center
Active Power BI Creators
523
▲ 12% vs last month
IT Report Tickets
14
▼ 82% vs Year Start
Recent Business Activity Status
MA
Campaign Segmentation Created by Marketing Analyst
Published
FM
Q3 Budget Variance Created by Finance Mgr
Published
SC
Inventory Risk Analysis Created by Supply Chain
Published

📋 Strategic Blueprint Based on Real-World Scenarios

This case study illustrates a common challenge for enterprises pursuing data democratization. The solution demonstrates our proven approach to empowering business users with self-service analytics. Is your IT team drowning in report requests? Let’s discuss your self-service strategy →

IT as a Bottleneck, Stifling Data-Driven Decisions

For a multinational retail corporation with hundreds of brands, business users were clamoring for data. Yet, simple report requests languished in IT queues for weeks. Highly skilled data engineers spent valuable time on repetitive tasks instead of strategic initiatives.

This reactive approach frustrated business users across Marketing, Finance, and Supply Chain, creating a culture of dependence that paralyzed the organization’s ability to react to market changes.

The $521K Missed Opportunity

A marketing director urgently needed customer segmentation data for a time-sensitive campaign launch. The request sat in the IT backlog for three weeks.

By the time the report arrived, the campaign window had closed. The CMO estimated $521K in potential revenue was lost simply because data access was too slow.

Governed Self-Service Analytics

1

Unified Data Platform

We used Azure Synapse Analytics to consolidate data from sales, CRM, and inventory systems into a centralized, trusted repository, eliminating data silos.

2

The Semantic Layer

We built a business-friendly model in Power BI. Instead of complex SQL tables, users see clear terms like “Total Sales” and “Churn Rate,” ensuring consistency across the enterprise.

3

Enablement & Culture

We launched a training program for 500+ users and established a “Data Champions” network. This shifted the culture from IT-dependence to data autonomy.

Technology Ecosystem

An enterprise-grade platform balancing freedom with governance.

Microsoft Azure Azure Cloud
Power BI Power BI
Azure Synapse Synapse Analytics
Azure Data Factory Data Factory

Marketing Analyst: Before & After

Transform
Before
3 Weeks
Wait time for customer data
Missed Opportunities
Campaigns delayed, revenue lost
After
45 Minutes
To build custom segmentation
Instant Action
Campaigns launched same-day

Quantifiable Business Impact

500+
Business users actively building their own reports and dashboards.
80%
Reduction in ad-hoc IT reporting requests, freeing engineers for strategic work.
99x
Faster time to insight (from weeks of waiting to minutes of building).

“The most successful self-service BI initiatives aren’t about technology—they’re about cultural transformation. When business users move from waiting weeks for IT reports to building dashboards in minutes, you fundamentally change how an organization makes decisions. It’s what separates market leaders from followers.”

Justyna, PMO Manager

Justyna

PMO Manager, Multishoring

Meet the Team Behind the Solutions

Our strength lies in our people. This project was orchestrated by our PMO team, who ensure that every solution is not only technically sound but also perfectly aligned with your business goals.

Justyna

Justyna PMO Manager

Artur

Artur PMO Specialist

contact

Thank you for your interest in Multishoring.

We’d like to ask you a few questions to better understand your IT needs.

Justyna PMO Manager

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    Justyna PMO Manager

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