Portfolio

Power BI Case Study-02

Toy Store Analysis (Juéguelo Toys)

Toy Store Analysis Juéguelo Toys

At AnatoliaDev, we recently had the opportunity to collaborate with a growing toy store chain based in Mexico. With multiple retail locations and a wide range of products, the client reached out to us with a clear objective: “They wanted a better way to monitor their business performance and make data-driven decisions.”

Note: All data shown has been anonymized and modified to protect the identity and confidentiality of the client.

The Challenge

The client provided a rich dataset consisting of transactional records from January 2022 through September 2023, detailed product-level information across multiple categories, and stores covering various locations throughout Mexico. While the data was extensive and valuable, it lacked structure and cohesion. The datasets arrived in siloed formats (typically CSVs exported from different systems) without a unified schema or data model. As a result, the leadership team was unable to extract insights efficiently or consistently. Generating even basic reports requires manual effort, leaving decision-makers with lagging, fragmented views of business performance.

Our Approach

Our solution is centered on designing a clean, interactive dashboard in Power BI that could serve both executive and operational leadership needs. We began by cleaning and transforming the data using Power Query, constructing a star schema that connected fact tables (transactions) with dimension tables (stores, products, calendar), enabling efficient aggregation and filter logic. From there, we developed dynamic visualizations to track sales trends, detect seasonal fluctuations, and enable cross-comparisons between stores, cities, and regions.

We also built metrics to highlight top-performing product categories while including interactive slicers for period, location and allowing users to explore data from multiple perspectives with minimal effort. Emphasis was placed on intuitive design, responsive load times, and future scalability, making it easy for both technical and non-technical users to adopt the solution.

Results

The final was a centralized, interactive reporting tool that gave the client visibility into their retail operations. The leadership team could now assess individual store performance, evaluate category-level sales trends, and identify gaps or opportunities in real time. Inventory planning became more data-driven, with clear insights into what was selling where and when. The dashboard also eliminated hours of manual work previously spent building static reports in Excel. The feedback was highly positive executives reported increased confidence in their decision-making process, and the organization as a whole gained a clearer, data-backed understanding of its growth trajectory. We’re proud to have supported this transformation and look forward to the continued evolution of their BI strategy.

Whether you’re running a local store or a multinational chain, the ability to visualize your data can unlock smarter decisions. If your business is still working off spreadsheets and static reports, AnatoliaDev can help you build interactive tools tailored to your unique goals.

01.

Project Type:

Analytics
02.

Data Set

One
03.

Tools:

Power BI
04.

Data Type:

Toy Sales
PROJECT CONCEPT
The core of the project was to build a Power BI dashboard, pre-configured for future scaling. With a backend powered by Power Query and optional connections to cloud storage or APIs, the system would allow business owners to plug in their data and immediately gain insights with minimal setup. Our vision is to simplify business intelligence for independent retailers giving them the tools to make informed decisions without the complexity of traditional analytics platforms. The idea is to develop a plug-and-play analytics solution that integrates seamlessly with common POS and inventory systems to provide real-time insights on sales trends, product performance, and operational efficiency. Unlike large-scale enterprise tools, this solution would focus on ease of use, cost accessibility, and rapid deployment targeting businesses that lack dedicated analytics teams but still want data-driven oversight.
Project Details
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