Scalable analytics platform powering real-time ticketing operations

Modernized data workflows to support 120,000+ live events with speed and agility

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30%

Reduction in visualization platform costs.

120,000+

Live events analyzed with real-time insights.

1–10 GB/day

Data processed through a scalable analytics pipeline.

Client Overview

A technology-first live event ticketing platform helping users secure tickets for concerts, sports, and theater events across the U.S.

As data volumes and operational demands scaled rapidly, the company needed a more agile and cost-efficient way to manage analytics, reporting, and real-time business decisions.

Challenges

As the platform scaled rapidly, legacy systems struggled to keep up with the demands of real-time analytics, data consistency, and operational agility.

Real-time Bottlenecks

Legacy infrastructure introduced delays in delivering event-level insights, limiting the team’s ability to respond quickly to sales trends and inventory changes.

Manual Reporting Gaps

Revenue forecasts and inventory alerts were built manually in Excel, delaying critical decisions in a fast-moving ticketing environment.

Data Inconsistency

Partner data arrived in mismatched formats with missing keys, making it hard to deliver reliable analytics and eroding stakeholder confidence.

Solution

We built a modern analytics foundation to unify data, improve reporting speed, and scale operations across 120,000+ live events.

Real-Time Data Warehouse

Migrated legacy analytics to a high-performance warehouse that supported real-time insights, fast pricing decisions, and low-latency inventory tracking.

Live Business Dashboards

Replaced manual Excel workflows with live dashboards that visualize sales, forecasting, and performance metrics, optimized for cost and decision speed.

Flexible Ingestion Pipelines

Built a modular ingestion framework to sync data from fragmented platforms, automatically handle schema mismatches, and reduce reliability issues.

Scalable and Cost-Efficient Infra

Introduced scalable infrastructure and automated deployment pipelines to support rapid iteration while keeping compute and storage costs in control.

Business Impact

The new analytics foundation helped the client move faster, make smarter decisions, and scale operations with cost control.

Real-time operational insights

Delivered near real-time analytics across 120,000+ events, improving visibility into sales trends, demand, and inventory movement.

Scalable infrastructure for growth

Processed 1-10 GB of daily data through a modular system built to support ongoing scale, agility, and partner expansion.

Reduced platform costs

Lowered storage and compute expenses by optimizing usage and offloading logs, while cutting dashboarding costs by 30%.

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