Company Case Study
Box Office Analytics System for VOLGA.FILM logo

Development of a Box Office Analytics System for VOLGA.FILM

Media

A case study of building a BI platform for a film distributor: automated EAIS data collection, box office analytics, and management reporting within a unified MediaTech system.

Box Office Analytics System for VOLGA.FILM

About the Project

Film Distribution / MediaTech • Web • Analytics Platform

VOLGA.FILM is a leading international distributor of films and TV series, bringing content to movie theaters and online platforms across Russia.

The company approached us with the goal of building a modern box office analytics systemto replace manual Excel reporting and automate data analysis nationwide. The new platform unified data collection, processing, and visualization — from box office revenue to the performance of individual theaters.

AnalyticsAutomationEAIS Integration

Goal

Build a convenient tool for analyzing and visualizing screening data, ensuring reporting accuracy, transparency, and speed.

Key objectives:

  • Automate data collection from multiple sources, including EAIS
  • Implement regular data refresh and validation mechanisms
  • Create a user-friendly analytics and reporting interface
  • Minimize manual data processing by employees
  • Prepare the architecture for scaling and future growth

System Functionality

Automated data collection for screenings, box office revenue, attendance, and schedules

Regular synchronization with EAIS (Unified Federal Automated Information System)

Flexible reporting with filtering and comparison across films, theaters, and regions

Performance reports for managers and distributors

Data export to Excel and PDF

Web interface tailored for analysts and distribution managers

Challenges

Heterogeneous Data Sources

The source data varied in format and structure. To unify it, we developed a custom EAIS parserand introduced internal entities for data normalization.

Maintaining Data Freshness

We implemented hourly data synchronization, ensuring that every report is always built on up-to-date data. The system also automatically logs import errors and notifies administrators.

Usability for Analytics

We created an interactive dashboard that allows users to: analyze film performance by revenue and region, evaluate theater-level distribution efficiency, compare results across time periods, and quickly generate custom reports.

How We Built It

Technology Architecture

The platform was built using a modern stack: React.js + TypeScript + Next.js for the frontend, Node.js + PostgreSQL for the backend and data storage. The architecture was designed for scalability and easy integration of new data sources.

EAIS Integration

We developed a custom parser to work with EAIS data, automatically extracting information on screenings, box office revenue, and schedules. The parser processes heterogeneous data formats and normalizes them for consistent storage and analysis.

Automation and Synchronization

We implemented an automated synchronization system running once per hour. All processes are monitored, errors are logged, and administrators receive notifications. This ensures up-to-date data and fast response to any issues.

Analytics Interface

We designed an intuitive web interface with interactive dashboards, allowing analysts and managers to quickly access the information they need. The system supports filtering, grouping, data comparison, and exporting reports in multiple formats.

Results

System Developed and Launched

In 3 months (2023)

Migration from Excel

To automated analytics

Reporting Time Reduced

By several times

Improved Accuracy

And faster access to up-to-date data

Technology Stack

Frontend

React.jsNext.jsTypeScript

Backend

Node.js

Database

PostgreSQL

Integrations

EAIS (API / parsing)

DevOps

GitCI/CDDocker

Summary

We developed and launched an analytics platform for VOLGA.FILM that automated the collection and analysis of screening data across Russia. The system helped the client transition to digital analytics without Excel, and our team continues to evolve the product by adding new features and integrations.

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