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The Unified Storefront: Transforming Retail Operations with a Modern Data Warehouse

MNDA

Private Company
Company Type
Skopje, Macedonia
Location
Project work
Engagement Model
1 - 5 people
Team Size
12 - 24 Months
Duration
$250K - $500K
Budget

About

We empowered a leading retail chain by replacing a rigid, fragmented legacy system with a unified, scalable Data Model. By integrating disparate sources into a modern warehouse and deploying Power BI, we enabled "Data Democratization." This shift moved the client from manual tasks to automated, actionable insights—driving marketing effectiveness, operational cost savings, and a proactive, data-driven culture.

Challenge, approach, and impact

Fragmented Data Silos

A lot of Data Silos are spread across multiple systems and other data sources.

Scalability and Flexibility

As data volumes grow, scalability becomes crucial.

People Change Management

fostering a culture that values data-driven decision-making and investing in training programs to ensure that employees have the necessary skills to access, analyze, and interpret data effectively.

An inflexible existing Data Warehouse

Unable to adapt to new challenges.

Out-of-the-box analysis

Difficulties in performing out-of-the-box and ad hoc analysis.

Ability to accurately analyze customer behavior

Ability to accurately analyze customer behavior, profile customers, assess marketing campaign performance, and understand profitability.

How we built

Databases
Data Analytics and Visualization
E-Commerce
Marketplaces

Testimonials

Anonymous

Verified Testimonial

Our goal wasn't just to move data, but to change how the client lives with it. By breaking down decades-old silos and building a unified, scalable model, we transitioned the team from 'data gathering' to 'strategic decision-making.' Seeing regional managers move from manual spreadsheets to real-time Power BI dashboards, where they can finally see the true story of their inventory and customer behavior has been the ultimate validation of this transformation.

Team structure

Client team

Marija

VP of Marketing

The client stakeholders were working closely with the team at Data Masters

Agency team

Data Engineer

Production

Data Analyst

Production

Project Manager

Production

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