Retail & E-Commerce

Power BI Analytics Platform — 200+ Retail Stores

RetailPro Group · Delhi, India

ClientRetailPro Group
IndustryRetail & E-Commerce
Duration10 Weeks
Team5 Engineers

The Challenge

RetailPro operated 200+ stores nationally but had no unified analytics. Each store manager ran their own Excel reports, creating 200 different versions of truth. Leadership had no real-time view of inventory, sales, or store performance. Monthly consolidated reports took the finance team 3 full days to prepare.

Our Solution

We designed and built an enterprise Power BI platform on Azure Synapse Analytics. Azure Data Factory pipelines pull data from 5 source systems (POS, ERP, eCommerce, HR, and logistics) hourly into Synapse. A semantic layer with 40+ Power BI datasets powers 55 reports and dashboards across executive, regional, and store-level audiences — with row-level security enforcing data access by hierarchy.

Results Delivered

55+
Reports & Dashboards
Executive, regional, and store-level reports
3 Days → 0
Monthly Report Time
Consolidated report now auto-refreshes hourly
200+
Stores Connected
Real-time view across all store locations
₹2.1Cr
Annual Savings
Reduced overstocking identified via analytics

Project Process

01

Data Discovery

1 Week

Mapped all 5 source systems, data quality assessment, KPI workshop with stakeholders.

02

Data Architecture

1 Week

Star schema design, Synapse workspace setup, ADF pipeline design.

03

ETL Pipeline Build

3 Weeks

Data Factory pipelines for each source, transformations, and data quality checks.

04

Power BI Development

4 Weeks

Semantic model, 55 reports, RLS, and mobile-optimized layouts.

05

Training & Adoption

1 Week

Admin training, 200+ store manager onboarding, and self-service BI enablement.

"Before VFL, I had no idea which 20% of our stores were driving 80% of profit. Now I can see it on my phone. The ROI was realized in the first month."

Ankit JainCEO, RetailPro Group

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