CASE STUDY

Data-Driven Decision Making
with Cross-Team Data Analytics

Big Data & Analytics
Media & Entertainment

Project Highlights

Scope

  • Built a centralised analytics hub to streamline data requests and improve cross-department collaboration.
  • Utilised advanced tools like BigQuery, Google Data Studio, and statistical modelling to deliver deep-dive analyses.
  • Automated report generation and introduced innovative solutions for influencer marketing reporting, real-time notifications, and incident prioritisation.

Challenges Overcome

Addressed high data demand from multiple departments with a scalable and efficient solution.

Resolved resource constraints by automating reporting and streamlining processes.

Enabled detailed analytics across various business areas, supporting data-driven decision-making.

Business Impact

The project delivered significant improvements to the client’s operations.

Data Processing Efficiency

Reporting Speed

Collaboration Across Teams

Incident Prioritisation Accuracy

These advancements enabled the client to enhance analytics capabilities, improve collaboration, and drive more informed decisions.

The Client

The client is a leading platform that connects music fans with live events, enabling users to discover, track, and purchase tickets for concerts. It provides a comprehensive service for concert-goers, enhancing their event experience.

  • Facilitates ticket purchasing and event discovery for millions of users globally.
  • Partners with major artists and venues to offer exclusive content and experiences.
  • Continuously innovates to improve user engagement and expand its platform across multiple regions.
A team of diverse professionals engages in a business meeting

The Problem

The client needed a solution to:

  • Address high data demand and analysis requirements from multiple departments.
  • Provide deep-dive analytics across various operational areas while overcoming resource constraints.
  • Streamline reporting processes and deliver timely, actionable insights to stakeholders.

The Solution

BGTS developed a centralised analytics hub and delivered tailored solutions to meet the client’s needs.

Centralised Analytics Hub

Streamlined data requests and analysis workflows for improved collaboration.

Advanced Tools Utilisation

Leveraged BigQuery, Google Data Studio, and statistical modelling to generate detailed insights.

Automated Reporting

Automated report generation to save resources and improve turnaround times.

Innovative Solutions

Developed customised Slack bots for real-time notifications and an incident management scoring system to prioritise tasks effectively.

Team & Technology

Tech Stack Utilised

Analytics Tools

  • BigQuery
  • Google Data Studio

Automation & Integration

  • Python
  • Slack Bots

Statistical Modelling

  • R
  • Python

Team Composition

2 data analysts

2 backend developers

1 project manager

The Outcome

The cross-team data analytics project transformed the client’s data management and reporting processes:

Streamlined Data Requests

Enabled efficient handling of high data demand across departments.

Automated Insights

Delivered timely reports with minimal manual effort.

Improved Collaboration

Enhanced communication and coordination between teams through a centralised hub.

Optimised Decision-Making

Provided stakeholders with real-time insights and prioritised incident management effectively.

This solution empowered the client to harness data more effectively, improve operational workflows, and drive strategic decision-making across departments.